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Role: Data Analyst - Finance (Remote) Location: Remote (Work from Anywhere) Job Type: Contract Payout: $40 - $65/hour<br>Role Overview:We are hiring for one of our clients, seeking a Financial Data Analyst to work on a contract basis. This role involves analyzing financial data to support decision-making and reporting. The position requires expertise in financial modeling, data visualization, and regulatory compliance.<br>Key Responsibilities:• Collect, process, and analyze financial data from multiple sources to identify trends and anomalies.• Develop and maintain financial models to forecast revenue, expenses, and cash flow.• Prepare detailed reports and dashboards for stakeholders to support strategic planning.• Ensure data accuracy and compliance with accounting standards and regulatory requirements.• Collaborate with cross-functional teams to integrate financial insights into business operations.<br>Required Skills & Qualifications:• Proficiency in financial data analysis tools such as Excel, SQL, or Python.• Experience with financial modeling and forecasting techniques.• Strong understanding of accounting principles and financial reporting standards.• Ability to create visualizations using tools like Tableau or Power BI.• Familiarity with data cleaning and validation processes.<br>More About the Opportunity:This role offers a unique opportunity to work with a global leader in the financial services industry, contributing to accurate financial reporting and strategic decision-making.<br>Equal Opportunity Employer:We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.<br>Apply Now!

<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"> <strong>Data Analyst (Power BI &amp; Cloud Analytics)</strong> <strong>Role Overview</strong> <p>We are seeking a highly skilled <strong>Data Analyst</strong> to support data-driven decision-making across Corporate &amp; Investment Banking functions.</p><br><br> <p>This role will focus on transforming complex datasets into meaningful business insights through advanced reporting, dashboard development, and analytics solutions. The successful candidate will work closely with business stakeholders, technology teams, and data engineers to design and deliver enterprise-grade reporting solutions, with a particular focus on Power BI and cloud-based analytics environments.</p><br><br> <p>The ideal candidate will have strong experience in financial services and a proven track record of building executive dashboards, KPI reporting frameworks, and management information solutions.</p><br><br> <strong>Key Responsibilities</strong> <ul> <li>Design, develop, and maintain interactive dashboards and reports using <strong>Power BI</strong> </li><li>Convert business requirements into meaningful visualizations and reporting solutions </li><li>Analyze large datasets to identify trends, opportunities, and business insights </li><li>Develop and monitor key business and operational KPIs across Corporate &amp; Investment Banking functions </li><li>Collaborate with business stakeholders to gather reporting requirements and define success metrics </li><li>Build data models and optimize Power BI performance for enterprise-scale reporting </li><li>Support the development of data governance, reporting standards, and data quality initiatives </li><li>Work with cloud-based data platforms and data engineering teams to ensure accurate data availability </li><li>Provide actionable insights to support strategic decision-making and operational performance </li><li>Develop documentation, reporting frameworks, and dashboard best practices </li></ul> <strong>Required Skills &amp; Qualifications</strong> <ul> <li>5+ years of experience in <strong>Data Analytics or Business Intelligence</strong> </li><li>Strong hands-on experience with <strong>Power BI</strong> </li><li>Experience building executive dashboards, KPI scorecards, and data visualization solutions </li><li>Strong SQL and data analysis capabilities </li><li>Experience working with cloud platforms such as <strong>AWS, Azure, or GCP</strong> </li><li>Knowledge of data modelling and reporting best practices </li><li>Strong stakeholder management and requirement-gathering skills </li><li>Experience working with large and complex datasets </li><li>Excellent analytical, problem-solving, and communication skills </li><li>Bachelor's degree in Data Analytics, Computer Science, Information Systems, Finance, or a related discipline </li></ul> <strong>Preferred Skills &amp; Experience</strong> <ul> <li>Prior experience within <strong>Corporate Banking, Investment Banking, or Financial Services</strong> </li><li>Experience with enterprise reporting and management information systems </li><li>Exposure to AWS analytics services such as Redshift, Athena, or QuickSight </li><li>Knowledge of data warehousing concepts and cloud data architectures </li><li>Power BI certifications preferred </li></ul> <strong>Halian Group</strong> <p>With over 28 years of experience, we have come to understand that innovation is the only way to provide agile, practical solutions that transform businesses and careers. Our resourcing and smart services help you to realise tomorrow's potential. Discover the amazing things possible when you bring the right people and the right technologies together.</p><br><br> <p>At Halian, we recognise that diversity, equity, and inclusion (DEI) are essential to building high-performing teams for our clients. We are committed to connecting organisations with top talent from all backgrounds, ensuring that every individual feels valued, respected, and empowered to contribute their unique perspectives.</p><br><br> <p>We encourage applications from all qualified candidates, regardless of race, gender, disability, or any other characteristic that makes them unique.</p><br><br> <p><strong>#LI-CC1</strong></p><br><br> <br><br> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>We are looking for a Business / Data Analyst who is responsible for building a clear, end-to-end understanding of how Temenos T24 core banking data is currently consumed for reporting and analytics, and for translating that understanding into the business and data requirements that will drive the Temenos Insight data migration and modernization programme.<br> The analyst conducts discovery with business, finance, regulatory-reporting, and channel stakeholders to inventory every existing report, dashboard, extract, and use case, map each back to its underlying T24 data and transformation logic, and define the reporting-continuity requirements needed so that outputs from the new solution can be validated against the legacy platform.<br> The role establishes the prioritization and requirements baseline used by architects and the Senior Data Engineer to design and sequence the migration.<br> (Note: this role supports the Temenos Insight migration; the Azure Databricks data lake is a separate initiative.<br>) Key Roles &amp; Responsibilities Conduct discovery workshops with business and technical stakeholders to gather reporting and analytics requirements.<br> Identify and document all existing reporting, analytics, and regulatory reporting use cases.<br> Capture business users, data consumers, owners, and downstream system dependencies.<br> Document business objectives, reporting requirements, and success criteria.<br> Inventory operational reports, dashboards, regulatory reports, and analytical solutions.<br> Map reports and dashboards to T24/Temenos Insight source data, transformations, and business logic.<br> Analyze multi-value fields, business rules, and data consumption patterns.<br> Identify duplicate reports and recommend consolidation opportunities.<br> Gather detailed data, metrics, dimensions, and historical retention requirements.<br> Define reporting frequency, latency, SLA, and compliance requirements.<br> Document dependencies between business processes, reports, and data assets.<br> Assess current data quality, availability, performance, and reporting challenges.<br> Support migration planning, reporting continuity, reconciliation, and validation activities.<br> Recommend migration priorities for reports and data domains.<br> Capture future reporting and analytics requirements for modernization initiatives.<br> Maintain reporting inventories, use-case documentation, and governance artefacts.<br> Produce functional documentation for architecture, engineering, testing, and UAT teams.<br> Support User Acceptance Testing (UAT) by validating migrated reports against the legacy Temenos platform.<br> 3+ years of experience as a Business Analyst, Data Analyst, or Technical Business Analyst, ideally in banking or financial services.<br> Strong experience gathering and documenting business and data requirements and producing source-to-report mappings.<br> Hands-on exposure to SQL and BI / reporting tools (Power BI preferred).<br> Understanding of data warehousing, ETL, and analytics concepts.<br> Experience supporting data migration or reporting-modernization projects.<br> Exposure to core banking (Temenos T24) and / or central-bank regulatory reporting is highly desirable.<br></span> </div>

Role: Data Privacy Analyst (Remote) Location: Remote (Work from Anywhere) Job Type: Contract Payout: $31 - $60/hour<br>Role Overview:A leading organization is seeking a Data Privacy Analyst to review and improve data privacy practices, policies, and procedures. The role involves ensuring compliance with privacy regulations and protecting organizational data assets. This position requires collaboration with cross-functional teams to identify risks and implement mitigation strategies.<br>Key Responsibilities:• Conduct data protection impact assessments and audits to evaluate compliance with privacy laws and internal policies.• Monitor and analyze changes in privacy regulations to recommend updates to policies and practices.• Develop and maintain data privacy documentation, including privacy notices, consent forms, and records of processing activities.• Collaborate with IT and security teams to assess data handling processes and recommend technical safeguards.• Report findings and recommendations to stakeholders and provide guidance on privacy best practices.<br>Required Skills & Qualifications:• Experience in data privacy compliance, including GDPR, CCPA, or other regional regulations.• Proficiency in conducting risk assessments and audits related to data protection.• Strong understanding of data privacy frameworks, policies, and governance structures.• Ability to analyze complex regulatory requirements and translate them into actionable policies.• Familiarity with data security principles and technical controls for protecting personal data.<br>More About the Opportunity:This role offers a unique opportunity to work with a global leader in the Technology, Information and Internet industry, contributing to the development of robust data privacy frameworks. The position involves direct impact on safeguarding sensitive information and ensuring regulatory adherence.<br>Equal Opportunity Employer:We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.<br>Apply Now!

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> Job Purpose <p>Support data management, analysis, reporting, and the implementation and daily operation of ERP and Student Information Systems (SIS) across the group schools.</p><br> Key Responsibilities <ul> <li> <p>Collect, clean, validate, and maintain educational and operational data.</p><br> </li> <li> <p>Develop reports, dashboards, and scorecards using Excel and Power BI.</p><br> </li> <li> <p>Analyse student, assessment, and operational data to provide meaningful insights.</p><br> </li> <li> <p>Support ERP and SIS implementation, including requirement gathering, configuration, data migration, testing, and go-live activities.</p><br> </li> <li> <p>Support academic and operational modules within ERP and SIS platforms.</p><br> </li> <li> <p>Maintain data accuracy, consistency, accessibility, security, and confidentiality.</p><br> </li> <li> <p>Identify data-quality issues and coordinate corrective actions with relevant teams.</p><br> </li> <li> <p>Coordinate system issues and enhancement requirements with users, internal teams, and vendors.</p><br> </li> <li> <p>Prepare reports for management, assessments, and KHDA inspections.</p><br> </li> <li> <p>Maintain system documentation, user guides, workflows, and SOPs.</p><br> </li> <li> <p>Train and support users on ERP, SIS, reporting tools, and new system features.</p><br> </li> </ul> Qualifications and Experience <ul> <li> <p>Bachelor’s degree in Data Analytics, Information Management, Computer Science, or a related field.</p><br> </li> <li> <p>Two to three years of relevant UAE experience in data analysis, data management, ERP, or SIS.</p><br> </li> <li> <p>Experience within the UAE education sector is preferred.</p><br> </li> </ul> Required Skills <ul> <li> <p>Good knowledge of ERP and SIS processes and implementation.</p><br> </li> <li> <p>Proficiency in Microsoft Excel and Power BI.</p><br> </li> <li> <p>Working knowledge of Power Query, DAX, SQL, and databases.</p><br> </li> <li> <p>Experience in data migration, validation, system testing, and user support.</p><br> </li> <li> <p>Strong analytical, problem-solving, and data-management skills.</p><br> </li> <li> <p>Good English communication, presentation, and stakeholder-coordination skills.</p><br> </li> <li> <p>Strong attention to detail and ability to manage multiple priorities.</p><br> </li> </ul> </div>

<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>

Role Description This part-time, remote Director of Data & Analytics role is responsible for leading the data vision and strategy for التسويق الالكتروني للمشاريع الصغيرة والمتوسطة, ensuring data is used effectively to support decision-making for small and medium-sized enterprise marketing initiatives. The director oversees the design and implementation of data pipelines, dashboards, and reporting frameworks, collaborating closely with marketing, operations, and leadership to define key performance indicators and measure campaign effectiveness. Daily tasks include reviewing data quality, guiding the selection of analytical tools, conducting advanced analyses, and translating complex findings into clear, actionable insights for non-technical stakeholders. The role also involves mentoring team members, establishing best practices in data governance and privacy, and continuously improving analytical methods to optimize digital marketing performance and business outcomes.<br>Qualifications<br> Strong analytical skills, with the ability to interpret complex datasets and identify meaningful trends and insights. Proficiency in data analytics and data analysis, including experience with modern analytics platforms and business intelligence tools. Solid foundation in statistics and data science, with experience applying statistical models and predictive techniques to real-world problems. Experience designing data strategies, dashboards, and reporting frameworks that support digital marketing and business decision-making. Knowledge of data governance, data quality management, and privacy best practices. Ability to communicate technical concepts clearly to non-technical stakeholders and influence data-driven decisions. Experience mentoring or leading analytics teams or cross-functional projects. Bachelor’s or master’s degree in data science, statistics, computer science, economics, or a related quantitative field, or equivalent practical experience. Familiarity with tools such as SQL, Python or R, and modern visualization tools (e.g., Power BI, Tableau, or similar) is highly beneficial. Background in digital marketing or experience working with small and medium-sized enterprises is an advantage.

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Mindrift is looking for highly skilled Vibecode specialists to join the Tendem project (https://tendem.<br>ai/) and drive specialized data scraping workflows for real-world use cases.<br> Mindrift is looking for highly skilled Senior Python Data Scraping Engineers to join the Tendem project and drive specialized data scraping workflows for real-world applications.<br> In this role, you'll apply your expertise in web scraping, data extraction, and data processing to deliver accurate, reliable, and high-quality 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 innovative technology projects.<br> Our mission is to help develop high-quality AI technologies by combining real-world expertise from professionals across the globe with advanced AI development efforts.<br> About the Role 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 tools such as Apify, OpenRouter, and other technologies, alongside your own technical expertise and 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 available tools and custom workflows to accelerate data collection, validation, and task execution while meeting defined requirement.<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> Educational qualifications 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> Academic and/or Professional Experience Candidates should have a strong technical foundation and practical experience with scripting, automation, and data extraction workflows.<br> We are looking for specialists who can solve non-trivial problems, work confidently with modern development tools and technologies, 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> Technical Skills (Essential) 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) Additional requirements 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>

Role: Data Annotator (Remote) Location: Remote (Work from Anywhere) Job Type: Contract Payout: $6 - $10/hour<br>Role Overview:We are hiring for one of our clients, seeking a Data Annotator to work on a contract basis. The role involves tagging and labeling data to improve machine learning models. This includes processing text, images, and audio for AI training purposes.<br>Key Responsibilities:• Review and annotate text, images, or audio data according to provided guidelines.• Ensure accuracy and consistency in labeling to support model performance.• Follow established annotation protocols and maintain quality standards.• Collaborate with team members to clarify annotation tasks when needed.• Meet daily or weekly productivity targets for annotated data output.<br>Required Skills & Qualifications:• Proficiency in data annotation tools and platforms.• Strong attention to detail for accurate labeling and tagging.• Basic understanding of machine learning and AI concepts.• Ability to follow structured guidelines for consistent results.• Self-motivated with the discipline to work independently in a remote setting.<br>More About the Opportunity:This role offers a unique opportunity to work with a global leader in the Technology, Information and Internet industry, contributing to the development of cutting-edge AI systems. The position supports scalable data processing for machine learning applications.<br>Equal Opportunity Employer:We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.<br>Apply Now!

<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>

Role: Data Partnerships Manager (Remote) Location: Remote (Work from Anywhere) Job Type: Full-Time Payout: $160K - $250K/yr<br>Role Overview:We are hiring for one of our clients, seeking an Associate Data Partnerships Manager to work on a full-time basis. This role involves managing data partnerships to drive business growth and innovation. The position requires collaboration with cross-functional teams to ensure successful partnership implementations.<br>Key Responsibilities:• Develop and maintain strategic data partnerships with key industry players.• Identify and evaluate potential data partnership opportunities to expand market reach.• Negotiate terms and agreements to maximize value from data collaborations.• Monitor and analyze partnership performance to ensure alignment with business objectives.• Coordinate with internal teams to integrate data solutions seamlessly into workflows.<br>Required Skills & Qualifications:• Experience in data partnerships, business development, or a related field is required.• Strong understanding of data ecosystems and their commercial applications is essential.• Proficiency in contract negotiation and deal structuring is necessary.• Excellent communication skills to liaise with external partners and internal stakeholders are required.• Ability to work independently in a remote setting with minimal supervision is expected.<br>More About the Opportunity:This role offers a unique opportunity to work with a global leader in the Technology, Information and Internet industry, contributing to the expansion of data-driven solutions. The position plays a critical role in shaping the future of data partnerships within the organization.<br>Equal Opportunity Employer:We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.<br>Apply Now!

<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><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>

Role: Data Scientist (Remote) Location: Remote (Work from Anywhere) Job Type: Contract Payout: Competitive, based on experience<br>Role Overview:We are hiring for one of our clients, seeking a Data Scientist to work on a contract basis. The role involves developing and deploying machine learning models to solve business problems. You will collaborate with cross-functional teams to deliver data-driven insights and solutions.<br>Key Responsibilities:• Design, build, and deploy predictive models using Python and relevant libraries.• Analyze large datasets to identify trends, patterns, and correlations.• Develop and maintain data pipelines to ensure data quality and accessibility.• Collaborate with stakeholders to translate business requirements into technical specifications.• Present findings and recommendations to non-technical audiences.<br>Required Skills & Qualifications:• Proficiency in Python, including libraries such as Pandas, Num Py, and Scikit-learn.• Experience with machine learning frameworks like Tensor Flow or PyTorch.• Strong SQL skills for querying and manipulating large datasets.• Familiarity with data visualization tools such as Matplotlib or Tableau.• Ability to work independently and manage multiple priorities in a fast-paced environment.<br>More About the Opportunity:This role offers a unique opportunity to work with a global leader in the Technology, Information and Internet industry, contributing to the development of cutting-edge AI solutions. The position is fully remote, providing flexibility to work from anywhere.<br>Equal Opportunity Employer:We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.<br>Apply Now!

We're recruiting a Data Analyst for one of our clients, a globally recognized e-commerce organization.<br><br>About Our Client<br><br>Our client is a globally recognized e-commerce organization known for its innovative approach and customer-centric operations. With a strong presence across international markets, the company offers a dynamic and fast-paced work environment focused on technology-driven solutions. It plays a key role in redefining how products are accessed, purchased, and delivered, and continues to lead the industry in supply chain excellence, digital transformation, and operational efficiency.<br><br>Key Responsibilities<br><br> Accurately input, maintain, and update data across multiple systems and platforms, including Quick Sight dashboards, Share Point, and Excel trackers Own and maintain compliance data reporting, including Page 0 regional data and GOLD Mine dashboard metrics Conduct regular data audits to identify and resolve discrepancies between systems Analyze datasets to identify trends, patterns, and actionable insights for stakeholders Prepare clear reports, dashboards, and visualizations, and define and monitor KPIs aligned with team objectives Support evidence-based decision-making through timely and accurate reporting Manage end-to-end participant enrollment and tracking for leadership development programs, such as SLII, LEW, AD1, and Accelerate, using systems such as i CIMS Effectively utilize and manage data tools and platforms, including Excel, Share Point, Quick Sight, i CIMS, or equivalent systems Support the development and optimization of data workflows and operational processes <br><br>Requirements<br><br> Degree or diploma in Business Administration, Data Science, Human Resources, Information Technology, or a related field Proven experience in data entry, data management, and reporting Advanced proficiency in Microsoft Excel and/or Google Sheets Experience managing program enrollments, scheduling, or event coordination Strong analytical and critical-thinking skills, with excellent attention to detail Excellent organizational skills, with the ability to manage multiple priorities simultaneously Strong verbal and written communication skills <br><br>Desirable<br><br> Experience with data visualization tools such as Quick Sight, Power BI, or Tableau Knowledge of HRIS or learning management systems such as i CIMS or Cornerstone Experience with process automation or workflow optimization using tools such as VBA, Python, or SQL Prior experience in corporate Learning & Development (L&D), HR, or operations environment Familiarity with Share Point and cloud-based collaboration tools<br><br>Benefits<br><br> Competitive Salary Employee Benefits as per the UAE Labor Law

Role: Data Partnerships Manager (Remote) Location: Remote (Work from Anywhere) Job Type: Full-Time Payout: $160K - $250K/yr<br>Role Overview:We are hiring for one of our clients, seeking an Associate Data Partnerships Manager to work on a full-time basis. This role involves managing data partnerships to drive business growth and innovation. The position requires collaboration with cross-functional teams to ensure successful partnership implementations.<br>Key Responsibilities:• Develop and maintain strategic data partnerships with key industry players.• Identify and evaluate potential data partnership opportunities to expand market reach.• Negotiate terms and agreements to maximize value from data collaborations.• Monitor and analyze partnership performance to ensure alignment with business objectives.• Coordinate with internal teams to integrate data solutions seamlessly into workflows.<br>Required Skills & Qualifications:• Experience in data partnerships, business development, or a related field is required.• Strong understanding of data ecosystems and their commercial applications is essential.• Proficiency in contract negotiation and deal structuring is necessary.• Excellent communication skills to liaise with external partners and internal stakeholders are required.• Ability to work independently in a remote setting with minimal supervision is expected.<br>More About the Opportunity:This role offers a unique opportunity to work with a global leader in the Technology, Information and Internet industry, contributing to the expansion of data-driven solutions. The position plays a critical role in shaping the future of data partnerships within the organization.<br>Equal Opportunity Employer:We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.<br>Apply Now!

<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>

About the job This position is being offered on behalf of a partner organization. The partner company will be responsible for managing the application, interview, selection, and hiring process. Our partner is looking for a Junior Data Analyst / Data Scientist to support its remote team across a range of data-focused initiatives within Financial Services, Retail, E-commerce, Logistics, Business Intelligence, Artificial Intelligence (AI), and Machine Learning (ML). The position is designed for an early-career professional who enjoys working with data, solving practical problems, identifying meaningful patterns, and turning analysis into actionable business insights. The selected candidate will gain exposure to diverse data projects, including business analytics, reporting, visualization, statistical analysis, predictive analytics, and Machine Learning applications.<br>Key Responsibilities Gather, organize, validate, and prepare data from multiple business and external sources Apply Python, SQL, statistics, and analytical methods to answer business-related questions Explore datasets to identify patterns, trends, inconsistencies, correlations, and potential business opportunities Create and support dashboards, performance reports, KPIs, and Business Intelligence (BI) reporting solutions Conduct statistical and descriptive analyses to help teams make informed operational and strategic decisions Support the development, testing, and performance evaluation of predictive and Machine Learning models Work on analytics initiatives related to customers, products, sales, marketing, finance, and business operations Investigate customer activity, purchasing patterns, revenue performance, product engagement, and operational metrics Assist with forecasting, segmentation, classification, recommendation, and other predictive analytics use cases Support experimentation, A/B testing, and data-driven hypothesis validation Build effective visualizations that make complex findings easier to understand Communicate analytical results, key findings, and recommendations to technical and business stakeholders Participate in AI, automation, and other initiatives designed to improve data-driven decision-making Identify opportunities to enhance data accuracy, reporting efficiency, and analytical processes Collaborate with cross-functional teams including Product, Engineering, Finance, Marketing, Operations, and Business teams Convert business needs into clearly defined analytical questions, methodologies, and deliverables<br>Requirements Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, Economics, Engineering, Business Analytics, Information Systems, or a related quantitative field Working knowledge of Python and SQLFundamental understanding of statistics, probability, and data analysis methodologies Practical experience analyzing datasets and performing Exploratory Data Analysis (EDA) Familiarity with Python libraries used for data analysis and Machine Learning, including pandas, Num Py, and scikit-learn Understanding of business reporting and visualization platforms such as Power BI, Tableau, Looker, or comparable tools Strong quantitative reasoning, analytical thinking, and problem-solving skills Ability to transform analytical results into clear and understandable business insights Strong verbal and written English communication skills Ability to manage tasks independently while collaborating effectively within a remote and distributed environment<br>Preferred Qualifications Previous experience through internships, university projects, bootcamps, freelance assignments, or personal projects involving Data Analytics, Data Science, Business Intelligence, or Machine Learning Experience or familiarity with industries such as Financial Services, Fin Tech, Retail, E-commerce, Logistics, or Technology Working knowledge of Git and Git Hub Experience using Jupyter Notebook for analysis and experimentation Basic familiarity with cloud platforms such as AWS, Microsoft Azure, or Google Cloud Platform (GCP) Exposure to modern data platforms and warehouses such as Big Query, Snowflake, Amazon Redshift, or Databricks Experience with Excel and/or business intelligence and visualization platforms including Power BI, Tableau, or Looker Familiarity with predictive analytics, Machine Learning algorithms, or statistical modeling Awareness of Generative AI, Large Language Models (LLMs), and AI-powered tools or applications A portfolio showcasing practical analytical work, including Git Hub repositories, Kaggle projects, academic coursework, bootcamp assignments, or independent Data Analytics / Data Science projects

<ul><li><p><strong>Data Management: </strong>Enter and maintain company records, transactions, customer information, and other operational data in the relevant systems.</p></li><li><p><strong>Data Tracking: </strong>Update and maintain records, monitor data accuracy, and ensure information is current and readily available.</p></li><li><p><strong>Documentation: </strong>Verify the accuracy of documents, process updates and amendments, and assist in preparing reports and other administrative records.</p></li><li><p><strong>Administrative Support: </strong>Organize and archive documents, ensure data confidentiality, and perform other duties as assigned by the Department Manager. </p></li></ul><p><strong>Desired Candidate Profile</strong></p><ul><li><p><strong>UAE National</strong> (Valid UAE Passport and Family Book are mandatory).</p></li><li><p>Minimum <strong>High School Certificate</strong> or equivalent.</p></li><li><p>Fluent in <strong>Arabic and English</strong> (spoken and written).</p></li><li><p>Good computer skills, including Microsoft Office applications (especially Excel).</p></li><li><p>Ability to maintain confidentiality and handle information accurately</p></li></ul>