Data Entry Jobs in UAE

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><ul><li><p>Summary of role</p><ul><li><p>Co-development of analytical engines based on statistical and machine learning algorithms</p></li><li><p>Creation of sustainable digital solutions integrated with existing IT infrastructure in collaboration with business</p></li></ul><p>Responsibilities</p><ul><li><p>Conducts analytical experiments methodically with guidance from technology lead to help solve various problems and make a true impact across multiple domains and situations</p></li><li><p>Process relevant data sources and build clear data-cleaning pipelines to feed data points and variables to the models in a well-structured format</p></li><li><p>Devise and utilize algorithms and models to mine big data stores, perform data and error analysis to improve models, and clean and validate data for uniformity and accuracy for visualization to business</p></li><li><p>Analyze data for trends and patterns, apply statistical and machine learning algorithms, and interpret data with a clear objective in mind in line with project goals and milestones</p></li><li><p>Support the deployment of analytical models into existing IT infrastructure by collaborating with DevOps engineers and Product owners</p></li><li><p>Maintain delivered solutions sustainability after the development phase</p></li></ul></li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li><p>Bachelor's or Master's degree in information systems, data analytics, data science, computer science, economics, risk management or another quantitative related field</p></li><li><p>Experience with Excel, SQL, Python, basic BI-development</p></li><li><p>Proficiency in data processing (Pandas), statistical analysis, and machine learning algorithms</p></li><li><p>Knowledge in building data processing pipelines &amp; ETLs</p></li><li><p>Experience in implementing predictive engines with a focus on time-series forecast</p></li><li><p>Experience in writing API calls based on specifications</p></li><li><p>Experience in automated testing, ability to write mock and unit tests to test both model inputs and outputs</p></li></ul><p>*Effective collaboration, experience in working with Scrum/Agile teams &amp; task tracking</p><p>Additional considerations</p><ul><li><p>The preferred profile is "all-the-way-rounder" rather than a person with deep expertise in only something specific</p></li></ul><p></p></section>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p><strong>JOB TITLE</strong><br>Senior Associate- Data Analyst | Majid Al Futtaim- Development&nbsp;<br><strong>ROLE SUMMARY</strong><br>Support the Sales Operations team by owning and analyzing business data across sales, collections, broker performance, and customer transactions. The role focuses on turning data into meaningful insights, identifying trends, and supporting decision-making through clear reporting and presentations.<br><strong>ROLE PROFILE</strong></p><br><br><ul><li>Analyze sales, collections, broker activity, and customer data to identify trends, risks, and opportunities</li><li>Develop dashboards and presentations highlighting key insights and actionable recommendations</li><li>Monitor key metrics such as sales conversion, collections, defaulters, and broker performance</li><li>Ensure accuracy and integrity of data across CRM systems (sales, customer, broker records)</li><li>Identify data gaps and inconsistencies, and drive improvements in data quality</li><li>Support forecasting, performance tracking, and periodic reporting for leadership reviews</li><li>Collaborate with Sales, Finance, Legal, and CRM teams to validate data and ensure alignment</li><li>Enhance reporting efficiency through process improvements, automation, and documentation of data standards</li></ul><br><p><strong>REQUIREMENTS</strong></p><br><br><ul><li>Bachelor’s degree with 1–3 years of relevant experience</li><li>Strong analytical skills with the ability to interpret data, identify trends, and translate insights into actionable outcomes</li><li>Advanced Excel skills (pivot tables, lookups, basic modelling)</li><li>Working knowledge of CRM tools (e.g., Salesforce)</li><li>Ability to create clear, structured presentations from data (PowerPoint)</li><li>Understanding of sales cycles, collections tracking, and performance metrics</li><li>Detail-oriented, reliable, and highly organized</li></ul> <br> </div>

<p>Data Analyst – Immediate Hiring</p> <p>We are looking for a detail-oriented Data Analyst to join our team in the UAE.</p> <p>What You&#8217;ll Do:</p> <p>Collect, organize, and analyze data from different sources<br /> Prepare reports, dashboards, and insights for management<br /> Identify trends and support business decisions<br /> Work with Excel and other data tools</p> <p>Who Can Apply:</p> <p>Freshers are welcome to apply<br /> Basic knowledge of MS Excel and data handling<br /> Analytical thinking and attention to detail<br /> Willingness to learn and grow in data field</p> <p>What We Offer:</p> <p>Competitive salary package<br /> Visa and company benefits as per UAE labor law<br /> Career growth opportunities<br /> Supportive and professional environment</p> <p>Job Type: Full-Time<br /> Location: UAE</p> <p>Apply Today!</p> <p>Send your CV via WhatsApp: +971 52 958 5969</p> <p>Limited vacancies available – apply early to secure your chance.</p>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> Company Description<br><p>Trans Skills is an HRIS solutions business offering services from hiring to payroll processing and payments. Founded in 2008 and headquartered in Dubai, we offer a comprehensive suite of products and services to help businesses source, onboard, ensure compliant global employment and payroll, and facilitate salary and statutory payments in over 140 countries. Trans Skills is also a global EOR provider with specialty recruitment and staffing solutions across the Middle East and Africa. We have a global network of 32 offices serving clients in more than 40 countries worldwide.</p><br><br>Job Description<br><p>We are seeking a detail-oriented and analytically-minded Data Analyst for a Government entity in Dubai. In this role, you will transform raw data into actionable insights, helping to drive strategic business decisions. The ideal candidate has deep expertise in Power BI for building dynamic dashboards and possesses advanced Excel skills to manipulate, audit, and model data with precision.</p><br><p>Key Responsibilities</p><br><p>Data Visualization: Design, develop, and maintain interactive, high-impact Power BI dashboards and reports for stakeholders across departments.<br> Data Manipulation &amp; Analysis: Clean, transform, and model complex datasets using advanced Excel functions (including VLOOKUP, HLOOKUP, XLOOKUP, Index/Match, and Pivot Tables).<br> Insight Generation: Analyze data trends, identify anomalies, and provide clear, data-driven recommendations to management.<br> Data Quality Assurance: Maintain the integrity of data sources, ensuring all reports and calculations are highly accurate and auditable.<br> Collaboration: Partner with cross-functional teams to understand their reporting needs and translate business requirements into technical data solutions.</p><br><p>Required Qualifications &amp; Skills</p><br><p>Technical Expertise<br> Power BI: Proven hands-on experience in building and maintaining advanced Power BI dashboards and executive reports, enabling data-driven decision-making for senior leadership.<br> Advanced Excel: Mastery of advanced formulas (VLOOKUP, HLOOKUP), advanced data filtering, conditional formatting, and building robust Pivot Tables / Pivot Charts.</p><br><p>Professional Skills<br> Analytical Mindset: Strong problem-solving skills with the ability to look at numbers and see the story behind them.<br> Communication: Ability to explain complex technical findings to non-technical team members clearly and concisely.</p><br><p>Attention to Detail: A rigorous approach to verifying data accuracy and ensuring consistency across reports.</p><br><br>Qualifications<br><p>Bachelor’s degree in Data Analytics, Statistics, Finance, Information Systems, Business, or a related field.<br> Minimum 5 years of professional experience in a data analytics or business intelligence role.</p><br><p><br> Fluent in English as well as Arabic.</p><br><p><br> Gross Salary- 12500 AED per month + benefits as per UAE Labour Law.</p><br><br><br> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span><span>Black &amp; Grey HR is recruiting for a leading investment group in the UAE. Our client is looking to hire a&nbsp;</span>Data Engineering Consultant with strong Snowflake expertise to support retail data transformation efforts. The role is centered on enabling advanced analytics across customer, sales, inventory, and supply chain functions, while also leveraging AI-derived insights to drive improvements in demand forecasting, personalisation, and operational efficiency. <br><br><b>Key Responsibilities</b><br>- Contribute to the development and upkeep of data pipelines within Snowflake.<br><br>- Provide support for ETL/ELT processes involving retail datasets (POS, e-commerce, inventory, CRM).<br><br>- Work alongside senior data engineers and analysts to maintain data quality and reliability.<br><br>- Gain practical experience in applying Cortex AI capabilities to retail use cases such as recommendations and forecasting.<br><br>- Document data processes, pipelines, and model designs.<br><br>- Monitor pipeline performance and assist with troubleshooting when issues arise.<br><br>- Respond to ad-hoc data requests originating from business stakeholders.<br><br></span><br><span>Requirements<u>Qualifications &amp; Experience <br></u><br>- 3+ years of Data Engineering experience, ideally within retail or e-commerce environments.<br><br>- Solid, practical experience with the Snowflake Data Cloud.<br><br>- Strong command of SQL and Python.<br><br>- Familiarity with ETL/ELT tools (e.g., dbt, Airflow, or similar).<br><br>- Experience working with BI platforms such as Tableau, Power BI, or Looker.<br><br>- Snowflake or cloud-related certifications are considered a plus.<br><br><u>Core Competencies<br></u><br>- Strong analytical thinking and problem-solving capabilities.<br><br>- Ability to interpret retail business needs and translate them into data-driven solutions.<br><br>- Good communication skills, comfortable interacting with both technical teams and business users.<br><br>- Agile delivery mindset and ability to manage stakeholder relationships effectively.<br><br></span><br><span>Benefits- Competitive Salary + Benefits <br><br>- Hands-on exposure to Snowflake and Cortex technologies. <br><br>- Involvement in full-cycle retail analytics projects.<br><br>-&nbsp;Guidance and mentorship from experienced senior data engineers.<br><br>-&nbsp;Opportunities to actively contribute to AI-focused business insights.<br><br>-&nbsp;Strong organisational backing for ongoing learning, professional growth, and career progression.<br><br></span><br> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p>We are seeking a Data Analyst to support business operations by collecting, analyzing, and interpreting data. The successful candidate will prepare reports, identify trends, and provide insights to improve business performance.</p><p><b>Responsibilities:</b></p><ul><li>Analyze large datasets and prepare reports.</li><li>Develop dashboards and performance metrics.</li><li>Ensure data accuracy and quality.</li><li>Work with cross-functional teams to support business objectives.</li><li>Present analytical findings to management.</li></ul><p><b>Requirements:</b></p><ul><li>Bachelor's degree in a relevant field.</li><li>Proficiency in Microsoft Excel and SQL.</li><li>Knowledge of Power BI or Tableau is an advantage.</li><li>Strong analytical and problem-solving skills.</li><li>Excellent communication and organizational skills.</li></ul><p><br></p> </div><h2 class="h5">Skills</h2> <div data-jb-field="skills"><p>Data Analysis</p><p>Microsoft Excel (Advanced)</p><p>SQL</p><p>Power BI</p><p>Tableau</p></div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p><b>Key Responsibilities</b></p><p><b>CRM Strategy &amp; Implementation</b></p><ul><li>Support the implementation, and ongoing management of a new CRM platform.</li><li>Lead the migration, cleansing, and organisation of historical customer data.</li><li>Establish CRM processes, governance frameworks, and best practices.</li><li>Work closely with ticketing and other technology partners to ensure seamless integrations.</li><li>Develop a roadmap for customer data capture and enrichment across all touchpoints.</li></ul><p><b>Customer Data Management</b></p><ul><li>Manage and maintain the integrity, accuracy, and security of customer databases.</li><li>Develop data collection and consent management processes in line with UAE data privacy regulations.</li><li>Create a single customer view by integrating data from ticketing, hospitality, events, competitions, merchandise, and digital channels.</li><li>Implement data hygiene and regular auditing procedures.</li></ul><p><b>Audience Segmentation &amp; Insights</b></p><ul><li>Develop audience segmentation frameworks based on behaviour, demographics, purchase history, and engagement.</li><li>Build customer profiles and audience personas.</li><li>Identify opportunities to increase attendance, retention, and customer lifetime value.</li><li>Deliver actionable insights and recommendations to marketing, commercial, hospitality, and senior leadership teams.</li></ul><p><b>Fan Engagement &amp; Marketing Automation</b></p><ul><li>Develop and manage customer lifecycle journeys.</li><li>Create automated campaigns for ticket sales, event reminders, renewals, abandoned bookings, hospitality leads, and customer retention.</li><li>Support email marketing campaigns and audience targeting strategies.</li><li>Implement personalised communications based on customer behaviour and interests.</li></ul><p><b>Reporting &amp; Performance</b></p><ul><li>Develop CRM dashboards and reporting frameworks.</li><li>Monitor key metrics including:</li><li>Database growth</li><li>Customer acquisition</li><li>Retention</li><li>Attendance frequency</li><li>Ticket sales conversion</li><li>Email performance</li><li>Customer engagement</li><li>Provide regular performance reports and strategic recommendations.</li></ul><p><b>Stakeholder Management</b></p><ul><li>Work closely with Marketing, Commercial, Hospitality, Ticketing, IT, Finance, and Operations teams.</li><li>Manage relationships with CRM vendors, Ticketmaster, agencies, and external technology partners.</li><li>Support future fan engagement and loyalty initiatives.</li></ul><p><br></p> </div><h2 class="h5">Skills</h2> <div data-jb-field="skills"><p><b>Essential Skills &amp; Experience</b></p><ul><li>3–5 years' experience in CRM, customer data, fan engagement, marketing automation, or audience development.</li><li>Experience implementing or managing CRM platforms.</li><li>Strong understanding of customer data management and segmentation.</li><li>Experience with email marketing and marketing automation tools.</li><li>Advanced Excel and reporting skills.</li><li>Strong analytical and problem-solving abilities.</li><li>Excellent project management and stakeholder management skills.</li></ul><p><br></p></div>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><ul><li>Define and prioritize the product roadmap for data solutions within the Treasury function, aligning with strategic financial objectives.</li><li>Translate complex Treasury data needs into clear, actionable product requirements for engineering and data science teams.</li><li>Drive the end-to-end product lifecycle for data initiatives, from ideation and validation to launch and iteration.</li><li>Collaborate closely with Treasury stakeholders (e.g., FP&amp;A, Risk, Operations) to gather insights and ensure data products meet their evolving needs.</li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>Master's degree in Data Science, Finance, Computer Science, or a related quantitative field.</li><li>5+ years of experience in product management, with a strong focus on data-intensive products or platforms.</li><li>Proven track record of delivering successful data solutions in a financial services or Treasury context.</li><li>Deep understanding of financial instruments, Treasury operations, and regulatory reporting requirements.</li></ul><p></p></section>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Mindrift is looking for highly skilled Senior Python Data Scraping Engineers to join the Tendem project and drive specialized data scraping workflows within our hybrid AI + human system.<br> In this role, as an AI Pilot – that’s how we refer to this role at Mindrift – you’ll collaborate with Tendem Agents that handle repetitive tasks, while you provide critical thinking, domain expertise, and quality control to deliver accurate and actionable results.<br> This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction and processing.<br> What We Do The Mindrift platform connects specialists with AI projects from major tech innovators.<br> Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe.<br> This is a freelance role for a Tendem project.<br> As a Senior Python Data Scraping Engineer , you'll handle data scraping tasks requiring technical precision for web extraction and processing, utilizing various tools such as our provided Apify and OpenRouter alongside your own resourceful approaches.<br> Key Responsibilities: Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets.<br> Leverage internal tools (Apify, OpenRouter) alongside custom workflows to accelerate data collection, validation, and task execution while meeting defined requirements.<br> Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed to handle JavaScript-rendered content and changing site behavior.<br> Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery.<br> Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes.<br> Requirements: At least 5+ years of relevant experience in data engineering, web scraping, automation, or software development (required).<br> Bachelor’s or Master’s Degree in Engineering, Applied Mathematics, Computer Science, or related technical fields is a plus.<br> Candidates should have a strong technical foundation and practical experience with scripting, automation, and AI-assisted workflows.<br> We are looking for specialists who can solve non-trivial problems, work confidently with LLMs, and systematically collect, structure, and validate data from diverse sources.<br> A methodical, detail-oriented approach and the ability to work independently are essential.<br> Strong experience in Python web scraping (BeautifulSoup, Selenium or similar), including dynamic content (JS, AJAX, infinite scroll) and APIs via proxies Proven ability to extract data from complex structures (hierarchies, archived pages, inconsistent HTML) Solid background in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, Google Sheets) Demonstrated experience handling anti-bot mechanisms and dynamic site structures at scale Experience with cloud infrastructure (AWS or equivalent) and containerization (Docker) as part of real workflows Hands-on experience with LLM frameworks (LangChain, OpenRouter, or similar) applied to automation tasks Strong attention to detail and commitment to data accuracy Self-directed work ethic with ability to troubleshoot independently A link to GitHub is a plus English proficiency: Upper-intermediate (B2) or above (required) Project time expectations For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements.<br> This is an estimate, not a guaranteed workload, and applies only while the project is active.<br> Compensation On this project, contributors can earn up to $37 per hour equivalent , depending on their level and pace of contribution.<br> Compensation varies across projects depending on scope, complexity, and required expertise.<br> Please note that other projects on the platform may offer different earning levels based on their requirements.<br></span> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> Job Description<p><span><span><strong>About Kearney Activate</strong></span></span></p><br><br><p><span><span>Kearney Activate is the business acceleration and enablement arm of Kearney. We</span><span> help organizations unlock business impact through advanced analytics, artificial intelligence, and decision intelligence. Our mission is to transform data into a strategic advantage, bridging the gap between technology execution and business outcomes.</span></span></p><br><br><p><span><span>At Activate, you’ll find an entrepreneurial environment where deep technical expertise meets client impact, supported by the global scale, reach, and reputation of Kearney.</span></span></p><br><br><p><span><span>Our Data &amp; AI business line bridges strategy, technology, and execution to deliver data-driven, AI-enabled, and cloud-powered transformations. We partner with leading platforms such as Microsoft, AWS, Snowflake, Databricks and Anthropic to help organizations build trusted data foundations, deploy intelligent solutions, and scale innovation.</span></span></p><br><br><p><span><span>We operate across four key focus areas:</span></span></p><br><br><ul><li><p><span><span>Advisory &amp; Assurance Services: Driving strategy, governance, and change management to ensure impactful transformation.</span></span></p><br></li></ul><br><ul><li><p><span><span>Data Services: Building trusted, high-quality data foundations using Agentic AI across engineering, architecture, and governance.</span></span></p><br></li></ul><br><ul><li><p><span><span>Insights Services: Unlocking value through analytics, data science, and AI-driven storytelling for better decision-making.</span></span></p><br></li></ul><br><ul><li><p><span><span>Asset Services: Developing reusable GenAI assets, accelerators, and AI-powered solutions that push the boundaries of innovation.</span></span></p><br></li></ul><br> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p><span>The Data Protection Manager will support the Data Protection Officer (DPO) in delivering an effective data protection and privacy compliance framework across the ADGM. The role will help ensure that ADGM personal data is handled in accordance with applicable laws and regulatory expectations, while embedding a strong culture of accountability and responsible data use.</span></p><br><p><span>The role also includes responsibility for supporting the implementation and oversight of Artificial Intelligence (AI) governance.&nbsp;</span></p><br><p><span><strong>Data Protection and Privacy Compliance</strong></span></p><br><ul><li><span>Support the DPO in implementing and maintaining the organisation’s data protection framework&nbsp;</span></li><li><span>Provide day-to-day advice on data protection obligations to business units&nbsp;</span></li><li><span>Assist in identifying appropriate lawful bases for processing activities&nbsp;</span></li><li><span>Conduct and support Data Protection Impact Assessments (DPIAs)&nbsp;</span></li><li><span>Support with maintenance and updates of Records of Processing Activities (RoPA)&nbsp;</span></li><li><span>Draft and review privacy notices, policies, and procedures&nbsp;</span></li><li><span>Review and advise on data sharing agreements and processor contracts&nbsp;</span></li><li><span>Support responses to data subject rights requests (e.g. access, rectification, erasure)&nbsp;</span></li><li><span>Assist in managing and investigating personal data breaches, including root cause analysis and remediation&nbsp;</span></li><li><span>Monitor compliance with data protection laws and regulations and support internal audits and assurance activities&nbsp;</span></li><li><span>Deliver data protection training and awareness sessions to staff&nbsp;</span></li><li><span>Support cross-border data transfer assessments and safeguards&nbsp;</span></li><li><span>Assist with regulatory engagement and reporting obligations&nbsp;</span></li><li><span>Support development of data protection and AI governance metrics and reporting&nbsp;</span></li><li><span>Track and report on risks, issues, and remediation actions&nbsp;</span></li><li><span>Support continuous improvement of policies, controls, and processes&nbsp;</span></li><li><span>Promote a culture of data protection and responsible innovation across ADGM</span></li></ul><p><span><strong>Managerial&nbsp;</strong></span></p><br><ul><li><span>Creates an environment where team members consistently drive to improve performance</span></li><li><span>Manages team with full accountability for achieving overall agreed objectives</span></li><li><span>Manages by effectively empowering team members</span></li><li><span>Takes responsibility for mentoring high potential and most critical talent in their career progression</span></li><li><span>Reviews performance of team and addresses performance issues quickly through clear decisions</span></li></ul><p><span><strong>Information Security related</strong></span></p><br><ul><li><span>Understand, adopt, adhere and practice responsibilities or controls as per ADGM Information Security policy and as per best practices explained in the induction and awareness sessions.&nbsp;</span></li><li><span>Confidentiality, Integrity and availability of the ADGM Information shall be maintained at all times i.e. within as well as outside ADGM.&nbsp;</span></li></ul><p><span><strong>Education &amp; Work Experience:</strong></span></p><br><p><span>Bachelor’s degree in Law, Information Governance, Cybersecurity, or related field</span></p><br><p><span>Minimum 10 years of experience in a data protection, privacy, or similar role&nbsp;</span></p><br><p><span><strong>Essential</strong></span></p><br><ul><li><span>Relevant professional certification (e.g. CIPP/E, CIPM, or equivalent)</span></li></ul><p><span><strong>Desirable</strong></span></p><br><ul><li><span><strong>Experie</strong>nce within a regulatory, public sector, or highly regulated environment desirable</span></li><li><span>Exposure to AI, data analytics, or emerging technologies governance preferred</span></li></ul><p><span><strong>Required Competencies</strong></span></p><br><ul><li><span>Strong understanding of data protection laws and principles (e.g. UK GDPR or ADGM Data Protection Regulations 2021 or equivalent)&nbsp;</span></li><li><span>Understanding of AI governance principles, including fairness, accountability, transparency, and risk management&nbsp;</span></li><li><span>Experience conducting DPIAs or similar risk assessments&nbsp;</span></li><li><span>Ability to interpret legal and regulatory requirements and apply them pragmatically&nbsp;</span></li><li><span>Strong analytical and problem-solving skills&nbsp;</span></li><li><span>Excellent written and verbal communication skills&nbsp;</span></li><li><span>Ability to manage multiple priorities and stakeholders</span></li></ul><br>The ADGM Authority is mandated to facilitate the achievement of ADGM’s vision to be one of the world’s foremost international financial centers. The Authority brings together strategic and support functions to ensure the continued provision of best-in-class services, enabling the development of ADGM as a whole. It plays a pivotal role in driving ADGM’s growth by leveraging emerging trends across the international financial services sector and the developments associated with the post-pandemic world. </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p><span><strong>Job Objective:</strong></span><span>To conduct statistical studies of cases, plan and organize data collection and analysis, design samples, and prepare the necessary analytical reports.</span><span>And to develop new processes for analyzing case data in line with achieving the Public Prosecution's strategic directions.</span></p><br><p><span><strong>Responsibilities:&nbsp;</strong></span></p><br><p><span>1. Planning and organizing the collection of case data, comparing it with approved performance indicators, and developing recommendations for improvement.</span></p><br><p><span>2. Preparing research, reports, and statistical studies related to case data and trends, and presenting them to relevant parties.</span></p><br><p><span>3. Conducting advanced analytical studies of case data, including an analysis of external influences, and submitting appropriate proposals and recommendations.</span></p><br><p><span>4. Analyzing data processing and collection processes, identifying opportunities for improvement, and advising data analysts.</span></p><br><p><span>5. Reviewing statistical analyses of cases, developing necessary recommendations in line with strategic objectives and performance indicators, and submitting them to decision-makers.</span></p><br><p><span>6. Providing members of the Public Prosecution with case data and statistics as required for monitoring and developing judicial work.</span></p><br><p><span>7. Preparing benchmarking studies and necessary research with leading entities at the local, regional, and international levels, identifying strengths and areas for improvement, preparing the necessary reports on the results, and submitting them to the direct supervisor, including recommendations and development proposals. 8. Submitting development proposals that contribute to improving judicial work based on the results of data analysis and study.</span></p><br> <p><span><strong>Academic qualification: </strong>Bachelor's degree in Business Analyst, preferably with a specialization in Statistics.</span></p><br><p><span><strong>Experience:&nbsp;</strong> 4 years of experience in the same field.</span></p><br><p><span><strong>National Service</strong>: Complete (Males only)</span></p><br><p><span>Gender: Male (only)</span></p><br> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Data Migration Lead – Oracle Fusion ERP<br><b>Location:</b> Abu Dhabi, United Arab Emirates<br><br> <b>Industry:</b> Public Sector / Government<br><br> <b>Employment Type:</b> Full-Time (Permanent / Contract)<br><br> <b>Project:</b> Large-Scale Oracle Fusion ERP Transformation Programme<br><br> <b>Reporting To:</b> Solution Architect / Programme Manager<br><br> <b>Experience Required:</b> 10–15 Years<br><br>Role Summary<br></span><p>We are seeking an experienced <b>Data Migration Lead</b> to lead the end-to-end data migration workstream for a large-scale Oracle Fusion ERP implementation within a leading public sector organisation in Abu Dhabi.<br></p><br><p>This leadership role is responsible for defining and executing the overall data migration strategy, governance framework, migration architecture, and delivery across multiple Oracle Fusion Cloud modules. The successful candidate will ensure high-quality migration of enterprise data from legacy systems into Oracle Fusion while maintaining data integrity, compliance, and business continuity throughout the programme lifecycle.<br></p><br><p>The ideal candidate will possess extensive Oracle Fusion Cloud implementation experience, strong technical expertise in Oracle migration tools, and proven leadership in managing complex enterprise ERP data migration programmes.<br></p><br>Key Responsibilities<br>1. Data Migration Strategy &amp; Planning<br><ul><li>Develop and own the overall data migration strategy aligned with programme objectives and implementation timelines.<br></li><li>Define migration methodology, governance framework, migration waves, and deployment approach.<br></li><li>Create the end-to-end migration roadmap covering extraction, transformation, cleansing, validation, loading, reconciliation, and cutover.<br></li><li>Establish migration standards, templates, quality controls, and best practices across all workstreams.<br></li><li>Define migration success criteria, readiness checkpoints, and Go-Live acceptance standards.<br></li></ul>2. Migration Architecture &amp; Technical Design<br><ul><li>Design enterprise-scale migration architecture supporting Oracle Fusion Cloud ERP.<br></li><li>Define migration approaches for Oracle Fusion modules including: <ul><li>Financials<br></li><li>Human Capital Management (HCM)<br></li><li>Procurement<br></li><li>Supply Chain Management (SCM)<br></li><li>Project Portfolio Management (PPM)<br></li></ul></li><li>Select and govern appropriate migration mechanisms including: <ul><li>HDL<br></li><li>FBDI<br></li><li>ADFDI<br></li><li>REST APIs<br></li></ul></li><li>Ensure migration architecture aligns with overall solution architecture and Oracle implementation standards.<br></li><li>Review and approve technical migration designs developed by the project team.<br></li></ul>3. Data Assessment &amp; Governance<br><ul><li>Lead legacy data discovery and assessment activities across all source systems.<br></li><li>Analyse source data quality, completeness, consistency, and complexity.<br></li><li>Establish data ownership, stewardship, governance, and approval processes.<br></li><li>Define cleansing rules, transformation standards, and validation criteria.<br></li><li>Maintain: <ul><li>Data Migration Plan<br></li><li>Object Inventory<br></li><li>Mapping Documents<br></li><li>Transformation Specifications<br></li><li>Traceability Matrix<br></li><li>Data Quality Register<br></li></ul></li></ul>4. ETL Design &amp; Migration Delivery<br><ul><li>Lead the design and development of extraction, transformation, and loading processes.<br></li><li>Oversee development of Oracle Fusion migration templates and conversion programs.<br></li><li>Manage migration activities including: <ul><li>Data extraction<br></li><li>Data transformation<br></li><li>Data validation<br></li><li>Data loading<br></li><li>Reconciliation<br></li><li>Defect resolution<br></li></ul></li><li>Supervise multiple mock migration cycles and production migration rehearsals.<br></li><li>Ensure accurate reconciliation between source and target systems.<br></li><li>Coordinate production migration and cutover execution.<br></li></ul>5. Oracle Fusion Data Migration<br><p>Lead migration activities across Oracle Fusion functional areas including:<br></p><br><ul><li>General Ledger (GL)<br></li><li>Accounts Payable (AP)<br></li><li>Accounts Receivable (AR)<br></li><li>Fixed Assets (FA)<br></li><li>Cash Management<br></li><li>Procurement<br></li><li>Inventory<br></li><li>Supplier Master<br></li><li>Customer Master<br></li><li>Human Capital Management<br></li><li>Projects<br></li><li>Chart of Accounts<br></li><li>Organization Structures<br></li><li>Value Sets<br></li><li>Reference Data<br></li></ul><p>Ensure migrated data complies with Oracle Fusion configuration and business rules.<br></p><br>6. Integration &amp; Cross-Functional Collaboration<br><ul><li>Work closely with Functional Consultants, Solution Architects, Integration Leads, and Technical Teams.<br></li><li>Ensure migration activities are aligned with: <ul><li>Configuration<br></li><li>Integrations<br></li><li>Reporting<br></li><li>Security<br></li><li>Extensions<br></li></ul></li><li>Collaborate with business stakeholders to validate transformation logic and business rules.<br></li><li>Support Oracle Integration Cloud (OIC) integration requirements where applicable.<br></li></ul>7. Cutover &amp; Go-Live Support<br><ul><li>Develop detailed migration cutover plans.<br></li><li>Coordinate data freeze activities.<br></li><li>Lead multiple cutover rehearsals.<br></li><li>Execute production migration during Go-Live.<br></li><li>Monitor migration execution and resolve issues during deployment.<br></li><li>Conduct post-Go-Live reconciliation and data validation.<br></li><li>Support Hypercare activities until successful project stabilization.<br></li></ul>8. Stakeholder &amp; Team Management<br><ul><li>Serve as the primary point of contact for all data migration activities.<br></li><li>Manage communication with client stakeholders, programme leadership, and third-party vendors.<br></li><li>Present migration readiness reports to Steering Committee and Design Authority.<br></li><li>Lead and mentor: <ul><li>Data Migration Analysts<br></li><li>ETL Developers<br></li><li>Data Stewards<br></li><li>Technical Consultants<br></li></ul></li><li>Manage risks, issues, dependencies, and mitigation plans throughout the migration lifecycle.<br></li></ul>Required Qualifications &amp; Experience<br>Experience<br><ul><li>Bachelor's degree in Computer Science, Information Systems, Data Engineering, or a related discipline.<br></li><li>10–15 years of overall IT experience.<br></li><li>Minimum 8 years of ERP data migration experience.<br></li><li>Minimum 5 years leading Oracle Fusion Cloud ERP data migration projects.<br></li><li>Successfully delivered at least two full lifecycle Oracle Fusion ERP implementations in a Data Migration Lead capacity.<br></li><li>Proven experience managing end-to-end migration from strategy through post-Go-Live support.<br></li><li>Experience within Public Sector, Government, or highly regulated industries is highly desirable.<br></li></ul>Technical Skills<br>Oracle Fusion<br><p>Strong hands-on experience with:<br></p><br><ul><li>Oracle Fusion Financials<br></li><li>Oracle Fusion HCM<br></li><li>Oracle SCM<br></li><li>Oracle Procurement<br></li><li>Oracle PPM<br></li></ul>Oracle Migration Tools<br><p>Expert knowledge of:<br></p><br><ul><li>HDL (HCM Data Loader)<br></li><li>FBDI<br></li><li>ADFDI<br></li><li>REST APIs<br></li><li>Spreadsheet Loader Utilities<br></li></ul>Database &amp; Development<br><ul><li>SQL<br></li><li>PL/SQL<br></li><li>Oracle Database<br></li><li>Python (preferred)<br></li><li>Shell Scripting (preferred)<br></li></ul>ETL Technologies<br><p>Experience with one or more:<br></p><br><ul><li>Oracle Data Integrator (ODI)<br></li><li>Informatica<br></li><li>Talend<br></li><li>DataStage<br></li><li>Similar enterprise ETL platforms<br></li></ul>Integration<br><p>Experience with:<br></p><br><ul><li>Oracle Integration Cloud (OIC)<br></li><li>Middleware integrations<br></li><li>API-based migration approaches<br></li></ul>Data Management Competencies<br><ul><li>Enterprise Data Governance<br></li><li>Data Quality Management<br></li><li>Data Profiling<br></li><li>Data Cleansing<br></li><li>Master Data Management (MDM)<br></li><li>Data Mapping<br></li><li>Data Reconciliation<br></li><li>Exception Management<br></li><li>Migration KPI Reporting<br></li><li>Cutover Planning<br></li><li>Data Validation<br></li><li>Risk Management<br></li></ul>Leadership Competencies<br><ul><li>Strong leadership and people management skills.<br></li><li>Excellent stakeholder engagement and communication.<br></li><li>Ability to translate technical risks into business impact.<br></li><li>Strong analytical and problem-solving capability.<br></li><li>Excellent planning and organisational skills.<br></li><li>Ability to manage multiple workstreams simultaneously.<br></li><li>Experience working within multicultural and matrix organisations.<br></li></ul>Preferred Certifications<br><p>One or more of the following certifications are highly desirable:<br></p><br>Oracle<br><ul><li>Oracle Fusion Financials Certified Implementation Professional<br></li><li>Oracle Fusion HCM Certified Implementation Professional<br></li><li>Oracle Cloud ERP Certifications<br></li></ul>Data Management<br><ul><li>CDMP (Certified Data Management Professional)<br></li><li>DAMA-DMBOK Certification<br></li></ul>Architecture<br><ul><li>TOGAF Certification<br></li></ul>Project Delivery<br><ul><li>PMP<br></li><li>PRINCE2<br></li><li>Agile / SAFe Certification<br></li></ul>Working Conditions<br><ul><li>Full-time, on-site role based in Abu Dhabi, UAE.<br></li><li>Availability to support extended working hours during migration rehearsals, cutover, and Go-Live activities.<br></li><li>Occasional travel within the UAE may be required.<br></li><li>Candidate must hold, or be eligible to obtain, a valid UAE employment visa.<br></li></ul>Why Join Us<br><p>This role offers the opportunity to lead one of the UAE's most significant Oracle Fusion ERP transformation programmes within the public sector. You will work alongside experienced technology and business leaders, driving enterprise-wide digital transformation while implementing best-in-class data migration practices that will have a lasting organisational impact.<br></p><br>Equal Opportunity Employer<br><p>We are committed to fostering a diverse and inclusive workplace where all employees are treated with respect and provided equal opportunities regardless of nationality, gender, age, religion, disability, or background. We welcome applications from qualified professionals who share our commitment to excellence and innovation.<br></p><br><br> </div>

<p>We are seeking an experienced Oracle Database Administrator (Oracle DBA) to manage, maintain, and optimize Oracle Database and Oracle E-Business Suite (EBS) environments across on-premises and Oracle Cloud Infrastructure (OCI). The ideal candidate will ensure database performance, availability, security, backup, recovery, and high availability while supporting multiple enterprise environments.</p><br><ul><li><p>Administer Oracle databases across Production, DR, Development, Testing, Training, and Staging environments.</p></li><li><p>Perform database installation, configuration, patching, upgrades, migrations, backup, recovery, and performance tuning.</p></li><li><p>Manage Oracle EBS R12.2 Application and Database tiers, including cloning, patching, upgrades, and environment refreshes.</p></li><li><p>Monitor database health, availability, security, and capacity while troubleshooting performance and application issues.</p></li><li><p>Administer Oracle Cloud Infrastructure (OCI), including Compute, Database Services, Networking, Storage, Monitoring, and Identity & Access Management.</p></li><li><p>Configure and support Oracle Data Guard, RMAN backup and recovery, and high availability solutions.</p></li><li><p>Implement database security, user access management, auditing, and compliance with organizational policies.</p></li><li><p>Support Linux-based Oracle environments and automate routine administration tasks using shell scripting.</p></li><li><p>Collaborate with Infrastructure, Cloud, Network, Security, and Oracle Applications teams to ensure stable operations.</p></li><li><p>Maintain technical documentation and support disaster recovery and business continuity initiatives.</p></li></ul><p><strong>Desired Candidate Profile</strong></p><ul><li><p>Bachelor's Degree in Computer Science, Information Technology, Engineering, or a related field.</p></li><li><p>Minimum <strong>5 years</strong> of experience as an Oracle Database Administrator in enterprise environments.</p></li><li><p>Strong hands-on experience with Oracle Database 12c/18c/19c/21c.</p></li><li><p>Experience with Oracle E-Business Suite R12.2 administration.</p></li><li><p>Strong knowledge of Oracle Data Guard, RMAN, database performance tuning, patching, and upgrades.</p></li><li><p>Hands-on experience with Oracle Cloud Infrastructure (OCI), including Database Services and Compute.</p></li><li><p>Good working knowledge of Oracle Linux, Red Hat Enterprise Linux, or similar Linux distributions.</p></li><li><p>Experience with SQL, PL/SQL, shell scripting, and database security.</p></li><li><p>Oracle RAC and Oracle Enterprise Manager experience will be an advantage.</p></li><li><p>Experience with Microsoft SQL Server or NoSQL databases such as MongoDB, Redis, or Elasticsearch is preferred.</p></li></ul><br><p><strong>Preferred Certifications</strong></p><ul><li><p>Oracle Database Administration Certification.</p></li><li><p>Oracle Cloud Infrastructure (OCI) Certification.</p></li><li><p>Oracle Cloud Database Services Certification.</p></li><li><p>RHCSA or equivalent Linux Certification.</p></li></ul><br><p><strong>Key Competencies</strong></p><ul><li><p>Strong analytical and troubleshooting skills.</p></li><li><p>Excellent communication and documentation abilities.</p></li><li><p>Ability to manage multiple databases and environments.</p></li><li><p>Strong understanding of database security, performance, and high availability.</p></li><li><p>Ability to work effectively in a fast-paced enterprise environment.</p></li></ul>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Muller's Solutions is seeking a Technical Lead specializing in Data Migration, Testing, and Quality Execution to lead migration activities and ensure the successful delivery of high-quality solutions on the Skadina platform.<br> The ideal candidate will oversee data migration strategies, testing activities, and quality assurance processes while ensuring smooth implementation and data integrity throughout the project lifecycle.<br> Key Responsibilities: Lead end-to-end data migration activities, including planning, mapping, transformation, validation, and reconciliation.<br> Define and execute data migration strategies and methodologies for Skadina implementations.<br> Oversee functional, integration, system, regression, and User Acceptance Testing (UAT) activities.<br> Ensure data quality, integrity, and consistency throughout migration and deployment phases.<br> Develop and review test plans, test cases, test scripts, and quality metrics.<br> Coordinate defect management, issue resolution, and root cause analysis activities.<br> Collaborate with architects, business analysts, developers, and business stakeholders to ensure successful project delivery.<br> Support cutover planning, deployment activities, and post-go-live stabilization.<br> Monitor project quality standards and ensure compliance with established processes and best practices.<br> Provide technical leadership and mentorship to project teams during migration and testing phases.<br> Prepare and maintain technical documentation, migration plans, and testing reports.<br> Key Responsibilities: Lead end-to-end data migration activities, including planning, mapping, transformation, validation, and reconciliation.<br> Define and execute data migration strategies and methodologies for Skadina implementations.<br> Oversee functional, integration, system, regression, and User Acceptance Testing (UAT) activities.<br> Ensure data quality, integrity, and consistency throughout migration and deployment phases.<br> Develop and review test plans, test cases, test scripts, and quality metrics.<br> Coordinate defect management, issue resolution, and root cause analysis activities.<br> Collaborate with architects, business analysts, developers, and business stakeholders to ensure successful project delivery.<br> Support cutover planning, deployment activities, and post-go-live stabilization.<br> Monitor project quality standards and ensure compliance with established processes and best practices.<br> Provide technical leadership and mentorship to project teams during migration and testing phases.<br> Prepare and maintain technical documentation, migration plans, and testing reports.<br> Required Qualifications: Bachelor's degree in Computer Science, Information Technology, Software Engineering, or a related field.<br> Minimum 8+ years of experience in enterprise application implementation, with significant experience in data migration and testing.<br> Proven hands-on experience with the Skadina platform .<br> Strong experience in data migration, ETL processes, data mapping, and data validation.<br> Experience leading testing activities, including SIT, UAT, regression, and performance testing.<br> Strong understanding of software quality assurance methodologies and defect management processes.<br> Experience with test management and defect tracking tools.<br> Excellent analytical, troubleshooting, and problem-solving skills.<br> Strong communication and stakeholder management skills.<br> Experience working in Agile/Scrum environments.<br> Preferred Qualifications: Experience in large-scale digital transformation or migration projects.<br> Experience in government or public sector projects is highly preferred.<br> Knowledge of data governance and data quality frameworks.<br> Experience with automation testing tools and quality assurance frameworks.<br> Key Skills: Skadina Platform Data Migration &amp; ETL Testing &amp; Quality Assurance Data Validation &amp; Reconciliation UAT, SIT &amp; Regression Testing Defect Management Technical Leadership Root Cause Analysis Stakeholder Management Agile/Scrum Methodologies</span> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Mindrift is looking for highly skilled Senior Python Data Scraping Engineers to join the Tendem project and drive specialized data scraping workflows within our hybrid AI + human system.<br> In this role, as an AI Pilot – that’s how we refer to this role at Mindrift – you’ll collaborate with Tendem Agents that handle repetitive tasks, while you provide critical thinking, domain expertise, and quality control to deliver accurate and actionable results.<br> This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction and processing.<br> What We Do The Mindrift platform connects specialists with AI projects from major tech innovators.<br> Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe.<br> This is a freelance role for a Tendem project.<br> As a Senior Python Data Scraping Engineer , you'll handle data scraping tasks requiring technical precision for web extraction and processing, utilizing various tools such as our provided Apify and OpenRouter alongside your own resourceful approaches.<br> Key Responsibilities: Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets.<br> Leverage internal tools (Apify, OpenRouter) alongside custom workflows to accelerate data collection, validation, and task execution while meeting defined requirements.<br> Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed to handle JavaScript-rendered content and changing site behavior.<br> Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery.<br> Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes.<br> Requirements: At least 5+ years of relevant experience in data engineering, web scraping, automation, or software development (required).<br> Bachelor’s or Master’s Degree in Engineering, Applied Mathematics, Computer Science, or related technical fields is a plus.<br> Candidates should have a strong technical foundation and practical experience with scripting, automation, and AI-assisted workflows.<br> We are looking for specialists who can solve non-trivial problems, work confidently with LLMs, and systematically collect, structure, and validate data from diverse sources.<br> A methodical, detail-oriented approach and the ability to work independently are essential.<br> Strong experience in Python web scraping (BeautifulSoup, Selenium or similar), including dynamic content (JS, AJAX, infinite scroll) and APIs via proxies Proven ability to extract data from complex structures (hierarchies, archived pages, inconsistent HTML) Solid background in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, Google Sheets) Demonstrated experience handling anti-bot mechanisms and dynamic site structures at scale Experience with cloud infrastructure (AWS or equivalent) and containerization (Docker) as part of real workflows Hands-on experience with LLM frameworks (LangChain, OpenRouter, or similar) applied to automation tasks Strong attention to detail and commitment to data accuracy Self-directed work ethic with ability to troubleshoot independently A link to GitHub is a plus English proficiency: Upper-intermediate (B2) or above (required) Project time expectations For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements.<br> This is an estimate, not a guaranteed workload, and applies only while the project is active.<br> Compensation On this project, contributors can earn up to $37 per hour equivalent , depending on their level and pace of contribution.<br> Compensation varies across projects depending on scope, complexity, and required expertise.<br> Please note that other projects on the platform may offer different earning levels based on their requirements.<br></span> </div>

<p>We are seeking a highly analytical Data Analyst / Industrial Engineer to join our construction team. The ideal candidate will be responsible for analyzing business and operational data, developing and improving workflows, optimizing business processes, and creating dashboards and reports to support management decision-making. Experience in the EPC or construction industry is highly preferred. Key Responsibilities • Analyze operational, project, HR, procurement, and cost data to identify trends and opportunities for improvement. • Design, develop, and optimize workflows and business processes across departments. • Create process maps, SOPs, and workflow diagrams. • Develop interactive dashboards and KPI reports using Power BI, Excel, or similar BI tools. • Automate reporting and improve data accuracy through process improvements. • Monitor project productivity, resource utilization, and operational performance. • Work closely with HR, Finance, Procurement, Planning, and Project teams to improve efficiency. • Conduct time and motion studies and recommend productivity improvements. • Prepare management reports and presentations with actionable insights. • Support digital transformation initiatives and business process automation.</p><p>Qualifications • Bachelor's Degree in Industrial Engineering, Data Analytics, Business Analytics, or a related discipline. • 3–7 years of experience in construction, EPC, or infrastructure projects. • Strong knowledge of process improvement methodologies. • Advanced Microsoft Excel skills. • Proficiency in Power BI, SQL, and Power Query. • Knowledge of ERP systems such as SAP, Oracle, or Microsoft Dynamics is an advantage. • Experience with workflow automation tools (Power Automate, Visio, or similar) is preferred. • Excellent analytical, problem-solving, and communication skills. Preferred Skills • Industrial Engineering background with strong analytical capabilities. • Experience in workflow development and business process optimization. • Ability to transform complex data into meaningful business insights. • Knowledge of Lean, Six Sigma, or continuous improvement methodologies is an added advantage.</p>

<p>We are seeking a highly analytical Data Analyst / Industrial Engineer to join our construction team. The ideal candidate will be responsible for analyzing business and operational data, developing and improving workflows, optimizing business processes, and creating dashboards and reports to support management decision-making. Experience in the EPC or construction industry is highly preferred. Key Responsibilities • Analyze operational, project, HR, procurement, and cost data to identify trends and opportunities for improvement. • Design, develop, and optimize workflows and business processes across departments. • Create process maps, SOPs, and workflow diagrams. • Develop interactive dashboards and KPI reports using Power BI, Excel, or similar BI tools. • Automate reporting and improve data accuracy through process improvements. • Monitor project productivity, resource utilization, and operational performance. • Work closely with HR, Finance, Procurement, Planning, and Project teams to improve efficiency. • Conduct time and motion studies and recommend productivity improvements. • Prepare management reports and presentations with actionable insights. • Support digital transformation initiatives and business process automation.</p><p>Qualifications • Bachelor's Degree in Industrial Engineering, Data Analytics, Business Analytics, or a related discipline. • 3–7 years of experience in construction, EPC, or infrastructure projects. • Strong knowledge of process improvement methodologies. • Advanced Microsoft Excel skills. • Proficiency in Power BI, SQL, and Power Query. • Knowledge of ERP systems such as SAP, Oracle, or Microsoft Dynamics is an advantage. • Experience with workflow automation tools (Power Automate, Visio, or similar) is preferred. • Excellent analytical, problem-solving, and communication skills. Preferred Skills • Industrial Engineering background with strong analytical capabilities. • Experience in workflow development and business process optimization. • Ability to transform complex data into meaningful business insights. • Knowledge of Lean, Six Sigma, or continuous improvement methodologies is an added advantage.</p>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p><span><strong>About Dubai Media Council:</strong></span></p><br><p><span>The Dubai Media Council is the government authority responsible for regulating and developing Dubai’s media sector, strengthening the emirate’s position as a leading regional and global media hub through progressive policies, innovation, and talent development.</span></p><br><br> <p><span><b><span><strong>JOB</strong></span><span><strong>PURPOSE</strong></span></b></span></p><br><p><span><span>The Head of Data and Analytics is responsible for leading Dubai Media Council's data and analytics function, providing robust data governance, sector intelligence, performance reporting, predictive analytics, and business intelligence that support evidence-based decision-making across Dubai's media and gaming sectors. The role leads the development of KPI frameworks, analytical models, dashboards, and forecasting capabilities that enable DMC to monitor sector performance, identify emerging opportunities and risks, and evaluate the effectiveness of regulatory initiatives.</span></span></p><br><p><span><span>The role serves as the senior-most analytical leader within DMC, ensuring data-driven decision-making across all governance and regulatory functions.</span></span></p><br><p><span>Working closely with the Head of Studies and Research and the Head of Media Strategy and Policy Development, the role translates complex data into actionable insights that support strategic planning, policy development, governance, and continuous improvement across DMC. The role holder is expected to demonstrate leadership skills, financial and budget management acumen and carry out his/her duties in accordance with the relevant business policies and procedures.</span></p><br><p><span><b><span><strong>No.</strong></span></b></span></p><br><p><span><b><span><strong>Key</strong></span><span><strong>Focus</strong></span><span><strong>Area</strong></span></b></span></p><br><p><span><b><span><strong>Key</strong></span><span><strong>Accountabilities</strong></span></b></span></p><br><br><p><span><span>1.</span></span></p><br><p><span><span>General </span><span>Responsibilities</span></span></p><br><p><span><span>·</span></span><span><span>Develop</span><span>the</span><span>strategy</span><span>for</span><span>Data</span><span>and</span><span>Analytics</span><span>to</span><span>support</span><span>the</span><span>overall</span><span>DMC</span><span>vision,</span><span>direction</span><span>and</span><span>strategic</span><span>objectives</span></span></p><br><p><span><span>·</span></span><span><span>Ensure the successful implementation of the strategic vision for</span><span>Data and Analytics to achieve the strategic objectives</span><span>set out for the Media Governance Sector in line with DMC’s vision</span><span>and objectives</span></span></p><br><p><span><span>·</span></span><span><span>Lead</span><span>the</span><span>teams</span><span>within</span><span>Data</span><span>and</span><span>Analytics</span><span>to</span><span>deliver</span><span>the</span><span>objectives</span><span>set</span><span>out</span><span>within</span><span>the</span><span>department</span></span></p><br><p><span><span>·</span></span><span><span>Develop</span><span>and</span><span>maintain</span><span>excellent</span><span>working</span><span>relationships</span><span>with</span><span>Executive</span><span>Directors,</span><span>Directors</span><span>and</span><span>Heads</span><span>across</span><span>DMC, working</span><span>together</span><span>when</span><span>needed</span><span>to</span><span>support</span><span>and</span><span>deliver</span><span>the</span><span>DMC</span><span>strategy</span></span></p><br><p><span><span>·</span></span><span><span>Develop and manage the Data and Analytics budget, working with Finance to secure funds and ensuring proper tracking </span><span>of the allocated budgets across the team</span></span></p><br><p><span><span>·</span></span><span><span>Ensure monthly KPI reports are generated, shared with the Strategy &amp; Governance Excellence department on time and </span><span>supported by documentation to aid in capturing and calculating the</span><span>KPI metrics</span></span></p><br><p><span><span>·</span></span><span><span>Develop</span><span>talent</span><span>within</span><span>the</span><span>Data</span><span>and</span><span>Analytics</span><span>team,</span><span>focusing</span><span>on</span><span>soft</span><span>skills</span><span>as</span><span>well</span><span>as</span><span>technical</span><span>skills</span><span>development</span></span></p><br><p><span><span>·</span></span><span><span>Ensure</span><span>compliance</span><span>with</span><span>audit</span><span>findings</span><span>and</span><span>reports,</span><span>implementing</span><span>necessary</span><span>changes,</span><span>policies</span><span>and</span><span>risk</span><span>mitigation </span><span>strategies to strengthen compliance with local government and global requirements.</span></span></p><br><p><span><span>·</span></span><span><span>Implement digitization strategies</span><span>where possible, ensuring digital solutions for key processes are applied and utilized to </span><span>drive higher efficiencies and effectiveness.</span></span></p><br><br><p><span><span>2.</span></span></p><br><p><span><span>Data</span><span>Strategy</span><span>and </span><span>Governance</span></span></p><br><p><span><span>·</span></span><span><span>Develop and implement the Data and Analytics strategy to support the Media Governance function and DMC's overall </span><span>strategic</span><span>objectives.</span></span></p><br><p><span><span>·</span></span><span><span>Establish</span><span>data</span><span>governance</span><span>frameworks,</span><span>standards,</span><span>and</span><span>quality</span><span>controls,</span><span>ensuring</span><span>data</span><span>remains</span><span>accurate,</span><span>consistent, </span><span>secure, and fit for decision-making.</span></span></p><br><p><span><span>·</span></span><span><span>Develop</span><span>policies</span><span>governing</span><span>data</span><span>collection,</span><span>validation,</span><span>integration,</span><span>storage,</span><span>and</span><span>reporting</span><span>across</span><span>DMC,</span><span>promoting consistency and regulatory compliance.</span></span></p><br><br><p><span><span>·</span></span><span><span>Identify opportunities to improve data maturity, governance practices, and information management, strengthening DMC's analytical capabilities.</span></span></p><br><p><span><span>·</span></span><span><span>Promote a data-driven culture across DMC by encouraging consistent use of reliable information in strategic and operational decision-making.</span></span></p><br><br><p><span><b><span><strong>3.</strong></span></b></span></p><br><p><span><b><span><strong>Sector Performance Measurement and KPI Frameworks</strong></span></b></span></p><br><p><span><span>·</span></span><span><span>Lead the development of sector-wide KPI frameworks, enabling consistent measurement of Dubai's media and gaming ecosystem performance.</span></span></p><br><p><span><span>·</span></span><span><span>Establish KPI methodologies, definitions, and calculation standards, ensuring reporting remains transparent, reliable, and comparable across departments.</span></span></p><br><p><span><span>·</span></span><span><span>Monitor sector performance indicators, identifying emerging trends, performance gaps, and opportunities requiring management attention.</span></span></p><br><p><span><span>·</span></span><span><span>Validate KPI submissions and reporting outputs before publication, maintaining the integrity and credibility of organizational reporting.</span></span></p><br><p><span><span>·</span></span><span><span>Support DMC departments in developing meaningful performance indicators aligned with strategic objectives and regulatory priorities.</span></span></p><br><br><p><span><b><span><strong>4.</strong></span></b></span></p><br><p><span><b><span><strong>Business Intelligence and Advanced Analytics</strong></span></b></span></p><br><p><span><span>·</span></span><span><span>Oversee advanced data analysis across licensing, content, compliance, governance, investment, talent, and industry datasets, providing meaningful intelligence for decision-makers.</span></span></p><br><p><span><span>·</span></span><span><span>Develop predictive models, trend analyses, and scenario planning tools that support future regulatory planning and resource allocation.</span></span></p><br><p><span><span>·</span></span><span><span>Lead the design of executive dashboards and business intelligence solutions, enabling timely visibility of sector performance and organizational KPIs.</span></span></p><br><p><span><span>·</span></span><span><span>Translate complex analytical findings into concise reports, visualizations, and recommendations that support Executive Directors, Directors, and Heads.</span></span></p><br><p><span><span>·</span></span><span><span>Evaluate new analytical technologies, artificial intelligence tools, and automation opportunities that improve reporting capability and analytical effectiveness.</span></span></p><br><br><p><span><b><span><strong>5.</strong></span></b></span></p><br><p><span><b><span><strong>Forecasting, Insights and Decision Support</strong></span></b></span></p><br><p><span><span>·</span></span><span><span>Lead forecasting activities that anticipate sector growth, investment trends, emerging business models, regulatory impacts, and future industry developments.</span></span></p><br><p><span><span>·</span></span><span><span>Integrate quantitative analysis with research findings and policy initiatives, producing evidence-based recommendations that support strategic decision-making.</span></span></p><br><p><span><span>·</span></span><span><span>Provide analytical support for regulatory reform, policy development, and governance initiatives, ensuring recommendations are supported by robust evidence.</span></span></p><br><p><span><span>·</span></span><span><span>Benchmark Dubai's media sector performance against international markets, identifying opportunities to strengthen competitiveness and regulatory maturity.</span></span></p><br><p><span><span>·</span></span><span><span>Prepare executive briefings and strategic insights that inform planning, investment, and policy decisions across DMC.</span></span></p><br><br><p><span><b><span><strong>6.</strong></span></b></span></p><br><p><span><b><span><strong>Data Capability and Continuous Improvement</strong></span></b></span></p><br><p><span><span>·</span></span><span><span>Lead the continuous enhancement of DMC's analytical capability by improving methodologies, reporting processes, and data management practices.</span></span></p><br><p><span><span>·</span></span><span><span>Oversee the development of automated reporting solutions that improve efficiency while reducing manual reporting activities.</span></span></p><br><p><span><span>·</span></span><span><span>Mentor Data &amp; Analytics team members, strengthening analytical capability and succession planning within the function.</span></span></p><br><p><span><span>·</span></span><span><span>Collaborate closely with Studies &amp; Research and Media Strategy &amp; Policy Development to ensure data, research, and policy activities operate as an integrated governance function.</span></span></p><br><p><span><span>·</span></span><span><span>Identify opportunities to enhance data integration, reporting technologies, and business intelligence capabilities, supporting continuous organizational improvement.</span></span></p><br><br><br><p><span><b><span><strong>Job</strong></span><span><strong>Specifications</strong></span></b></span></p><br><br><p><span><span>Key</span><span>Interactions</span><span>&amp; </span><span>Nature</span><span>of</span><span>Interaction</span></span></p><br><p><span><span>Internal:</span></span></p><br><p><span><span>·</span></span><span><span>Work closely with the Director Media Governance to establish sector performance frameworks and support strategic </span><span>decision-making</span><span>across</span><span>the</span><span>Media</span><span>Governance</span><span>function.</span></span></p><br><br><p><span><span>·</span></span><span><span>Collaborate with the Head of Studies and Research and Head of Media Strategy and Policy Development to integrate </span><span>research,</span><span>policy,</span><span>and</span><span>analytical</span><span>insights</span><span>into</span><span>governance</span><span>activities.</span></span></p><br><p><span><span>·</span></span><span><span>Support Executive Directors, Directors, Heads, and business units across DMC by providing analytical insights, dashboards, forecasting, and performance reporting that support evidence-based decisions.</span></span></p><br><p><span><span>·</span></span><span><span>Partner with Corporate Support functions to ensure appropriate data governance, system integration, budgeting, </span><span>procurement,</span><span>and</span><span>technology</span><span>requirements</span><span>are</span><span>met.</span></span></p><br><p><span><span>·</span></span><span><span>Work with all departments to develop KPI frameworks, reporting methodologies, and performance measurement </span><span>standards.</span></span></p><br><p><span><span>·</span></span><span><span>Collaborate with Corporate Support for procurement, finance and human resources needs across projects, </span><span>partnerships</span><span>and</span><span>collaborations,</span><span>and</span><span>internal</span><span>employee</span><span>needs.</span></span></p><br><p><span><span>External:</span></span></p><br><p><span><span>·</span></span><span><span>Engage with government entities, statistical authorities, and regulatory</span><span>organizations to exchange data, benchmarking </span><span>information, and analytical methodologies.</span></span></p><br><p><span><span>·</span></span><span><span>Collaborate with academic institutions, research organizations, and industry bodies to strengthen analytical capability </span><span>and</span><span>sector</span><span>intelligence.</span></span></p><br><p><span><span>·</span></span><span><span>Monitor international benchmarking databases and global media performance indicators to identify emerging trends </span><span>and best practices.</span></span></p><br><p><span><span>Support external reporting requirements by providing validated analytical information and performance data where </span><span>appropriate.</span></span></p><br><br><p><span><span>Technical</span><span>Skills</span></span></p><br><p><span><span>·</span></span><span><span>Expert:</span><span>Data</span><span>governance</span><span>frameworks</span><span>and</span><span>information</span><span>management.</span></span></p><br><p><span><span>·</span></span><span><span>Expert:</span><span>Advanced</span><span>analytics,</span><span>statistical</span><span>modelling,</span><span>and</span><span>predictive</span><span>forecasting.</span></span></p><br><p><span><span>·</span></span><span><span>Expert:</span><span>KPI</span><span>framework</span><span>development</span><span>and</span><span>performance</span><span>measurement.</span></span></p><br><p><span><span>·</span></span><span><span>Expert:</span><span>Business</span><span>intelligence</span><span>platforms</span><span>(Power</span><span>BI,</span><span>Tableau</span><span>or</span><span>equivalent).</span></span></p><br><p><span><span>·</span></span><span><span>Advanced:</span><span>Data</span><span>visualization</span><span>and</span><span>executive</span><span>reporting.</span></span></p><br><p><span><span>·</span></span><span><span>Advanced:</span><span>Data</span><span>integration,</span><span>quality</span><span>assurance,</span><span>and</span><span>analytical</span><span>methodologies.</span></span></p><br><p><span><span>·</span></span><span><span>Proficient:</span><span>Command</span><span>of</span><span>written</span><span>and</span><span>spoken</span><span>Arabic</span><span>and</span><span>English</span></span></p><br><br><p><span><span>Behavioural </span><span>Competencies</span></span></p><br><p><span><span>·</span></span><span><span>Enabling</span><span>change</span><span>-</span><span>Proficient</span></span></p><br><p><span><span>·</span></span><span><span>Effective</span><span>communication</span><span>-</span><span>Advanced</span></span></p><br><p><span><span>·</span></span><span><span>Leading</span><span>and</span><span>inspiring</span><span>others</span><span>-</span><span>Proficient</span></span></p><br><p><span><span>·</span></span><span><span>Decision</span><span>making</span><span>and</span><span>problem</span><span>solving</span><span>–</span><span>Advanced</span></span></p><br><p><span><span>·</span></span><span><span>Financial</span><span>awareness</span><span>–</span><span>Proficient</span></span></p><br><p><span><span>·</span></span><span><span>Team</span><span>Management</span><span>and</span><span>People</span><span>Development</span><span>–</span><span>Advanced</span></span></p><br><br><br><br><br> <p><span><b><span><strong>Experience</strong></span><span><strong>Required</strong></span></b></span></p><br><br><p><span><span>Functional</span><span>Experience</span></span></p><br><p><span><span>·</span></span><span><span>Minimum 11 years of experience in data analytics, business intelligence, performance management, economics, statistics, </span><span>or</span><span>regulatory</span><span>analytics.</span></span></p><br><p><span><span>·</span></span><span><span>Demonstrated</span><span>experience</span><span>developing</span><span>KPI</span><span>frameworks,</span><span>dashboards,</span><span>forecasting</span><span>models,</span><span>and</span><span>executive</span><span>reporting.</span></span></p><br><p><span><span>·</span></span><span><span>Experience</span><span>supporting</span><span>strategic</span><span>planning,</span><span>policy</span><span>development,</span><span>or</span><span>governance</span><span>through</span><span>analytical</span><span>insights.</span></span></p><br><p><span><span>·</span></span><span><span>Experience</span><span>working</span><span>within</span><span>government,</span><span>regulatory</span><span>authorities,</span><span>public</span><span>sector</span><span>organizations,</span><span>or</span><span>highly</span><span>regulated</span><span>industries</span><span> is</span><span>preferred.</span></span></p><br><p><span><span>·</span></span><span><span>Experience</span><span>leading</span><span>analytical</span><span>teams</span><span>and</span><span>implementing</span><span>business</span><span>intelligence</span><span>solutions</span><span>is</span><span>highly</span><span>advantageous.</span></span></p><br><br><p><span><span>Leadership/Supervisory</span></span></p><br><p><span><span>·</span></span><span><span>Minimum</span><span>5</span><span>years</span><span>leading</span><span>and</span><span>managing</span><span>teams</span></span></p><br><p><span><span>·</span></span><span><span>A</span><span>minimum</span><span>of</span><span>3</span><span>years</span><span>managing</span><span>a</span><span>budget</span></span></p><br><br><p><span><b><span><strong>Education</strong></span><span><strong>and</strong></span><span><strong>Qualification</strong></span><span><strong>Required</strong></span></b></span></p><br><br><p><span><span>·</span></span><span><span>Bachelor's degree in Data Analytics, Statistics, Economics, Mathematics, Business Analytics, Computer Science, Information Systems, or a related </span><span>discipline.</span></span></p><br><p><span><span>·</span></span><span><span>Master's</span></span></p> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> Job Purpose<p><span>At Emirates Group our Analytics Centre of Excellence (ACoE) is a centralized unit that provides data and analytics support to Emirates Group businesses. This allows our businesses to make better decisions by using data and analytics to understand our customers, operations, and markets.The ACoE is an essential part of Emirates Group's digital transformation strategy. The unit is helping Emirates Group to become a more data-driven organization and to make better decisions by using data and analytics.</span></p><br><br><br><p><span>As a <strong>Data Scientist Team Lead </strong>you will manage and drive data science projects through the application of mathematical modelling, machine learning, problem structuring and big data analysis to solve complex business problems across the Emirates Group portfolio. The role will require strong skills in computer science, mathematics, statistics and creative problem solving. The job holder is a focused individual who is able to transcend the world of theory, bring it to life in the business context and collaborate successfully with cross functional teams including academic researchers, business stakeholders and information technology teams.</span></p><br><br><br><p><strong><span>In this role you will:</span></strong></p><br><br><ul><li><span>Manage team of Data Scientists, ensuring the culture, strategy and vision are passed to the teams. Aligned with the DS and EA leadership, review team capabilities and establish training/mentoring plan.</span></li><li><span>Support and drive DS execution within team, targeting and developing relationships with the key internal stakeholders and clients to continue to drive practice demand growth.</span></li><li><span>Derive business insight from large, structured, semi-structured and unstructured, data sets and work with business stakeholders to deploy insights derived from this analysis to extract commercial value.</span></li><li><span>Develop, formulate and execute big data models to solve complex business problems. Research, design, implement and validate cutting-edge algorithms to achieve targeted business outcomes using mathematical models, machine learning, operational research theories and dynamic simulations.</span></li><li><span>Build prescriptive models to identify multi-dimensional trends and patterns to understand our customers, optimise revenue and demand management plus drive efficiencies across the operational environment including aircraft operations, engineering, workforce management and catering.</span></li><li><span>Work with cross-functional team members, combining computer science and mathematics, to identify and inject high-value actionable insights into business processes at their point of highest impact. Work in quick iterations, using the techniques and algorithms best suited for solving the challenging problems of the aviation business.</span></li><li><span>Develop and recommend enhancements to existing tools with the goal of advancing the data science capabilities of the organisation. Perform validation and testing of models to ensure adequacy and reformulate models as necessary.</span></li><li><span>Clearly document and communicate the outcomes of the data science initiatives and make sure that the insights and findings can be clearly understood by business stakeholders and translated into actions.</span></li><li><span>Inspire and promote the adoption of advanced analytics and data science across the entirety of our organization and provide expertise on mathematical concepts for the broader applied analytics team.</span></li></ul><br>Qualification<p><span><strong><span>To be considered for the role, you must meet the below requirements: </span></strong></span></p><br><br><p><span><strong><span><u>Qualifications:</u></span></strong></span></p><br><br><ul><li><span>MSc/PhD in a relevant field such as data science, operations research, mathematics, science, data mining, artificial intelligence, applied statistics, machine learning or economics.</span></li></ul><br><p><span><strong><span><u>Experience:</u></span></strong></span></p><br><br><ul><li><span>7-10+ years of hands-on experience in the Analytics ecosystem including:</span></li></ul><br><ol><li><ol><li><span>Experience Managing Data Science or Analytics Teams or acting as Manager in a consulting company.</span></li><li><span>3-5 years hands-on experience with big data technologies (Spark and Hadoop ecosystem) and deep learning frameworks (Tensorflow, Keras, etc.).</span></li><li><span>5-7 years hands-on experience with SQL, R, Python.</span></li><li><span>2-4 years hands-on experience with DevOps frameworks (Git, CI/CD, Docker).</span></li><li><span>3-5 years hands-on experience building libraries and packages to be re-used by others.</span></li><li><span>3-5 years hands-on experience building DS Solutions for production usage.</span></li><li><span>Team player with a problem-solving attitude.</span></li><li><span>Experience of leading &amp; delivering advanced analytical projects to large, complex organisations in a multi-functional environment.</span></li><li><span>Able to challenge and review the quality and value generated from analytical output.</span></li><li><span>Focus on driving business value for business clients to support long term relationships. Ability to grow teams, ensuring the culture and strategy gets followed by the new hires.</span></li></ol></li></ol><br><p><span>Join us in a management role and enjoy an attractive tax-free salary. On top of our generous travel benefits, including discounted flights and hotel stays around the world, this managerial role also has an excellent leave and healthcare package. That’s on top of transport benefits, life insurance and more.</span></p><br><br>Salary &amp; benefits<p><span><span>Find out what it’s like to live and work in our fast-paced, cosmopolitan home city in the Dubai Lifestyle section of our website </span></span><span><span>www.emirates.com/careers</span></span></p><br><br><br> </div>