Data Entry Jobs in UAE

Job Description: We are seeking a motivated Data Insights Analyst (Entry / Junior) to support data analysis and provide actionable insights to drive business decisions. You will assist in collecting, interpreting, and presenting data while working closely with cross-functional teams to identify trends and improve business performance. Responsibilities:Collect, clean, and analyze data from multiple sources. Prepare reports, dashboards, and visualizations to support business decisions. Identify trends, patterns, and opportunities through data analysis. Assist in developing and maintaining data models and reporting tools. Collaborate with internal teams to understand business requirements and data needs. Ensure data accuracy, integrity, and consistency across systems. Support ad hoc analysis and provide recommendations based on findings. Requirements:Bachelor’s degree in Data Analytics, Statistics, Computer Science, Business, or related field preferred. Previous experience in data analysis, business intelligence, or related roles is an advantage. Proficiency in Microsoft Excel, SQL, and data visualization tools such as Power BI or Tableau. Strong analytical, problem-solving, and critical-thinking skills. Excellent communication and presentation abilities. Ability to work independently, manage multiple tasks, and meet deadlines. High attention to detail and commitment to data accuracy. Benefits:Competitive salary and performance-based bonuses. Supportive work environment with mentorship opportunities. Access to training, certifications, and professional development programs. Opportunities for career growth in data analytics and business intelligence. Work-life balance with flexible or hybrid scheduling options.

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>We are looking for a Technical Data Analyst is responsible for discovering and documenting enterprise data sources, engaging with application teams and SMEs to gather technical and data-related information, and maintaining a comprehensive data inventory.<br> The role supports the design of the enterprise data platform by validating data source details, identifying integration and data quality requirements, and enabling informed prioritization of data initiatives.<br> Key Roles &amp; Responsibilities Discover and inventory enterprise data sources across the organization.<br> Collaborate with application owners and SMEs to gather technical and business data requirements.<br> Document source systems, technologies, interfaces, and data ownership.<br> Capture data characteristics, including volumes, refresh frequencies, retention, and growth trends.<br> Identify and document data ingestion methods, CDC capabilities, and system dependencies.<br> Assess and record existing data quality issues.<br> Maintain and update the enterprise data source inventory.<br> Validate collected information with data architects and engineering teams.<br> Prepare technical documentation and support data platform planning and prioritization workshops.<br> 3 + years of experience in data analysis, data management, or technical business analysis.<br> Strong SQL skills and understanding of relational databases and integration patterns.<br> Familiarity with APIs, file-based integration, and messaging concepts.<br> Experience with Excel, Confluence, Jira, and data cataloging tools.<br> Banking or financial services experience is desirable.<br></span> </div>

Job Description: We are seeking a motivated Data Insights Analyst (Entry / Junior) to support data analysis and provide actionable insights to drive business decisions. You will assist in collecting, interpreting, and presenting data while working closely with cross-functional teams to identify trends and improve business performance. Responsibilities:Collect, clean, and analyze data from multiple sources. Prepare reports, dashboards, and visualizations to support business decisions. Identify trends, patterns, and opportunities through data analysis. Assist in developing and maintaining data models and reporting tools. Collaborate with internal teams to understand business requirements and data needs. Ensure data accuracy, integrity, and consistency across systems. Support ad hoc analysis and provide recommendations based on findings. Requirements:Bachelor’s degree in Data Analytics, Statistics, Computer Science, Business, or related field preferred. Previous experience in data analysis, business intelligence, or related roles is an advantage. Proficiency in Microsoft Excel, SQL, and data visualization tools such as Power BI or Tableau. Strong analytical, problem-solving, and critical-thinking skills. Excellent communication and presentation abilities. Ability to work independently, manage multiple tasks, and meet deadlines. High attention to detail and commitment to data accuracy. Benefits:Competitive salary and performance-based bonuses. Supportive work environment with mentorship opportunities. Access to training, certifications, and professional development programs. Opportunities for career growth in data analytics and business intelligence. Work-life balance with flexible or hybrid scheduling options.

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><ul><li>Develop and implement comprehensive data governance policies and standards that align with business objectives and regulatory requirements.</li><li>Establish and manage a data stewardship program, empowering individuals to take ownership of critical data assets and ensure their quality and integrity.</li><li>Design and oversee data quality frameworks, including data profiling, cleansing, and monitoring processes, to proactively identify and remediate data anomalies.</li><li>Define and enforce data lineage and metadata management strategies, providing a clear understanding of data origins, transformations, and usage across the organization.</li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li><p><em>Bachelor’s or Master’s degree in data management, IT, Engineering, or a related field</em></p></li><li><p><em>10+ years of experience in data governance, data management, and or enterprise data strategy</em></p></li><li><p><em>Proven experience in implementing large-scale data governance programs</em></p></li><li><p><em>Proven experience in designing, implementing and operationalizing enterprise data governance frameworks and operating models</em></p></li><li><p><em>Hands-on experience in dataset inventory, data catalog implementation, data classification, and data quality rule definition</em></p></li><li><p><em>Experience working with data governance and catalog tools (e.g., Unity Catalog, Microsoft Purview or similar)</em></p></li><li><p><em>Has experience ensuring governance is applied and enforced within systems and processes</em></p></li><li><p><em>Can balance business, governance, and technical requirements</em></p></li></ul><p></p></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Technical Collaboration (Technical Appreciation) ● Bridging Business and IT Translate business data requirements and governance policies into clear, actionable technical specifications for IT and Data Engineering teams. ● Data Lineage &amp; Cataloging Work with data architects to map end-to-end data lineage (system-of-origin to system-of-consumption) and support the population of the Enterprise Data Catalog. ● Tooling Oversight Evaluate and maximize the ROI of technical data governance and data quality tools. Review outputs from data profiling and automated quality checks. ● Querying &amp; Validation Perform lightweight data profiling and validation to verify data quality issues independently before escalating to engineering teams. Required Qualifications &amp; Experience ata quality dashboards.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>● Domain Expertise: 8+ years of total experience, with a minimum of 4 years specifically in Data Governance, Data Stewardship, or Data Quality within the Banking and Financial Services sector. ● Subject Matter Expert: Deep understanding of banking products, processes, and regulatory reporting requirements (e.g., AML, KYC, Risk Management). ● Strategic Execution: Proven track record of drafting data policies, defining CDEs, and successfully establishing a network of data stewards. ● Communication: Exceptional stakeholder management skills, with the ability to translate complex technical constraints into business realities, and vice-versa. ● Certifications: Certifications such as CDMP (Certified Data Management Professional) or equivalent are highly preferred. Technical Skills &amp; Appreciation ● Query Languages: Foundational ability to read and write SQL to query databases, perform basic data profiling, and validate data sets independently. ● Governance Tooling: Familiarity and hands-on conceptual knowledge of industry- standard enterprise tools such as Informatica (Axon, EDC, IDQ), Collibra, or Alation. ● Data Architecture Concepts: Strong conceptual understanding of Relational Databases, Data Warehousing, Data Lakes, and Cloud infrastructure (AWS/Azure) to effectively converse with technical architects. ● BI &amp; Reporting: Appreciation for Business Intelligence tools (Power BI, Tableau) to design and interpret data quality dashboards.</p><p></p></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><ul><li>Transform raw data into actionable insights by utilizing statistical methods and data visualization techniques to support business decision-making.</li><li>Collaborate with cross-functional teams to understand data requirements and provide timely and accurate reports that meet business needs.</li><li>Conduct thorough data cleansing and validation processes to ensure data integrity and reliability before analysis.</li><li>Leverage advanced analytical tools and software, such as SQL and Python, to conduct exploratory data analysis and identify trends.</li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>Bachelor's degree in Data Science, Statistics, Computer Science, or a related field, with a strong foundation in quantitative analysis.</li><li>Minimum of 2-3 years of experience in a data analyst role, demonstrating a solid track record of successful data projects.</li><li>Relevant certifications such as Certified Analytics Professional (CAP) or Microsoft Certified: Data Analyst Associate to validate expertise.</li><li>Experience in industries such as finance, healthcare, or e-commerce where data-driven decision-making is crucial.</li></ul><p></p></section>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Black &amp; Grey HR is seeking an ROV Data Processing Manager to join the client's offshore project delivery team on a permanent basis. You will manage the ROV data processing function, ensuring the quality, accuracy, and timely delivery of subsea inspection and survey data products across multiple offshore projects. The role serves as the technical authority for processed ROV data deliverables, leading the data processing team and ensuring compliance with client requirements and project standards.<br><br>This is a permanent position supporting offshore ROV and subsea project operations. The successful candidate will oversee data processing workflows from acquisition through final delivery, working closely with ROV supervisors, survey teams, project managers, and clients to ensure high-quality data products are delivered within project timelines.<br><br>KEY RESPONSIBILITIES<br><br>1. ROV Data Processing Management<br><br>- Lead and manage the ROV data processing team, allocating workloads, establishing standards, and ensuring quality output across multiple projects<br><br>- Oversee processing and quality control (QC) of ROV-acquired data including inspection video, sonar imagery, pipeline and structure positioning data, and cathodic protection (CP) data<br><br>- Develop and maintain data processing workflows, procedures, software standards, and quality control processes<br><br>- Ensure processed data products meet project specifications, client requirements, and industry standards<br><br>- Manage data processing priorities and resources to support multiple concurrent offshore projects<br><br>2. Data Quality Assurance &amp; Deliverables<br><br>- Review and approve final ROV data deliverables including inspection reports, GIS datasets, survey outputs, and client-specific data formats<br><br>- Ensure data integrity, accuracy, traceability, and completeness throughout the processing lifecycle<br><br>- Manage project data deliverable schedules, ensuring timely submission to clients and project teams<br><br>- Liaise with ROV supervisors, survey teams, and project managers to align acquisition requirements with processing timelines<br><br>- Support technical reviews and resolve data-related queries from project stakeholders and clients<br><br>3. Technical Leadership &amp; Team Development<br><br>- Manage software licensing, hardware requirements, and system capabilities for ROV data processing operations<br><br>- Support client meetings, technical discussions, and presentations related to data processing methodologies, quality standards, and deliverables<br><br>- Mentor and develop data processing personnel, identifying training requirements and competency development opportunities<br><br>- Drive continuous improvement of data processing workflows, tools, and operational practices<br><br>- Ensure awareness and application of relevant industry standards and best practices<br><br></span><br><span>RequirementsEducation<br><br>- Degree in Marine Technology, Geomatics, Ocean Engineering, Hydrographic Survey, or a related discipline from a recognised institution<br><br>- Equivalent technical qualifications with significant ROV data processing experience will be considered<br><br>Experience<br><br>- 8–12 years of experience in ROV operations, subsea survey data processing, or offshore inspection data management<br><br>- Minimum 3 years of experience in a supervisory or team leadership role<br><br>- Proven experience managing ROV data processing activities and delivering subsea inspection and survey data products<br><br>- Expert-level proficiency in ROV and survey data processing software such as Coda Octopus, EIVA, AutoCAD, ArcGIS, or equivalent platforms<br><br>- Strong understanding of ROV inspection data, sonar processing, subsea positioning, GIS datasets, and offshore survey workflows<br><br>- Experience interfacing with ROV teams, survey personnel, project managers, and clients on technical data requirements<br><br>- ADNOC project exposure or experience supporting ADNOC-approved offshore operations is a strong advantage<br><br>Skills and Competencies<br><br>- Strong leadership and team management capabilities<br><br>- Excellent understanding of subsea data processing workflows and quality assurance requirements<br><br>- Ability to manage multiple projects and deliverables within strict timelines<br><br>- Strong technical problem-solving and analytical skills<br><br>- Excellent communication skills with technical teams, clients, and project stakeholders<br><br>- High attention to detail with strong focus on data accuracy and integrity<br><br>CERTIFICATIONS REQUIRED<br><br>- BOSIET or HUET — required if offshore deployment is required. Candidates must hold valid offshore safety certification.<br><br>- IMCA competency framework awareness — preferred<br><br>- Client-specific data management or software certifications — advantageous<br><br>- Relevant ROV, survey, GIS, or data processing certifications — advantageous<br><br>HOW TO APPLY<br><br>Submit your CV along with relevant offshore and technical certifications to: careers@black-grey.com<br><br>Please include in your application:<br><br>- Current CV (PDF preferred)<br><br>- Copy of BOSIET/HUET certificate (if held)<br><br>- Relevant ROV/data processing software certifications<br><br>- Details of ROV data processing experience and software expertise<br><br>- Availability / earliest start date<br><br>- Shortlisted candidates will be contacted within 5 working days of application.<br><br></span><br><span>Benefits- Permanent employment with a growing offshore engineering organization<br><br>- Opportunity to manage ROV data processing activities for ADNOC and international offshore projects<br><br>- Exposure to advanced subsea inspection technologies, survey systems, and digital data solutions<br><br>- Opportunity to lead and develop specialist technical teams<br><br>- Long-term career growth and progression within a stable organization<br><br></span><br> </div>

<p>This role requires a hands-on Data Engineer who has personally delivered and operated a full data lake on Azure. You will initially partner on build, then take full ownership of platform performance, scalability, and evolution. Client Details A multi-regional organisation undergoing a large-scale digital transformation focused on modern data platforms. The business is investing heavily in enterprise-grade cloud, data, and analytics capabilities Description * Design and build Azure-based data lake (ADLS, ADF, Synapse/Fabric) * Develop production-grade Spark pipelines (batch & near real-time) * Own data modelling for Power BI (star schema, semantic layers) * Implement data governance, lineage, and quality controls (e.g. Purview) * Take full ownership of platform BAU: monitoring, performance, cost Job Offer * End-to-end ownership of a business-critical data platform * Exposure to large-scale transformation and senior stakeholders</p><p>* 5-7 years' Data Engineering experience with at least 1 full data lake delivery * Expert in Azure stack (ADF, ADLS, Synapse/Fabric) + strong PySpark * Proven ownership of production pipelines (design, deploy, operate) * Strong SQL & Python; experience with APIs, ERP integrations (e.g. D365) * Demonstrated experience structuring data specifically for Power BI</p>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p><b>Role Overview</b></p><p>The Data Quality Engineer ensures the accuracy, integrity, and regulatory compliance of critical financial data assets. This role focuses on executing data profiling, developing validation rules, and implementing automated cleansing routines using the Informatica IDQ/Other relevant tools suite to support the bank's data governance and risk management frameworks. </p><p><b>Key Responsibilities</b></p><p><b>Data Profiling &amp; Analysis</b></p><ul><li><b>Profile</b> large-scale banking datasets to identify anomalies, patterns, duplicates, and data gaps.</li><li><b>Analyze</b> source data structures across core banking, transactional, and risk systems.</li><li><b>Define</b> data quality metrics and thresholds in alignment with business requirements. </li></ul><p><b>Rule Development &amp; Cleansing</b></p><ul><li><b>Develop</b> reusable data quality rules, mappings, and workflows using Informatica IDQ Developer.</li><li><b>Design</b> automated parsing, standardization, validation, and exception-handling routines.</li><li><b>Deploy</b> data quality scorecards and dashboards within the Informatica Analyst tool. </li></ul><p><b>Governance &amp; Regulatory Compliance</b></p><ul><li><b>Align</b> data quality controls with banking frameworks such as BCBS 239, Basel III, AML, and KYC.</li><li><b>Partner</b> with Data Governance teams to maintain data lineage and update the corporate data glossary.</li><li><b>Investigate</b> data quality issues at the root cause by collaborating with upstream application owners.</li></ul><p><b>Technical Skills</b></p><p><b>Core Toolset</b></p><ul><li><b>Informatica IDQ:</b> Expert knowledge of IDQ Developer, Analyst, Profiling, and Rule Specifications.</li><li><b>SQL:</b> Advanced proficiency in writing complex queries, joins, and window functions.</li><li><b>Power BI:</b> Intermediate skills good to have.</li><li><b>Databases:</b> Strong experience working with Oracle, SQL Server, Teradata, or DB2. </li></ul><p><b>Domain &amp; Architecture</b></p><ul><li><b>Banking Domain:</b> Familiarity with credit risk, retail banking operations, or financial reporting.</li><li><b>Data Warehousing:</b> Solid understanding of ETL/ELT concepts, data lineage, and data lake architectures.</li></ul><p><b>Qualifications</b></p><ul><li><b>Education:</b> Bachelor’s degree in computer science, Information Systems, or a related technical field.</li><li><b>Experience: </b>Overall 12Years+&nbsp;with 3+ years of dedicated data quality engineering experience, specifically within financial services</li></ul><p>&nbsp;</p> </div><h2 class="h5">Skills</h2> <div data-jb-field="skills"><p><b>Core Toolset</b></p><ul><li><b>Informatica IDQ:</b> Expert knowledge of IDQ Developer, Analyst, Profiling, and Rule Specifications.</li><li><b>SQL:</b> Advanced proficiency in writing complex queries, joins, and window functions.</li><li><b>Power BI:</b> Intermediate skills good to have.</li><li><b>Databases:</b> Strong experience working with Oracle, SQL Server, Teradata, or DB2.&nbsp;</li></ul><p><br></p></div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> Job Description<br><p>We are currently looking for Manager – IFRS 9 Risk Data &amp; Model Implementation for our UAE operations</p><br><p>Role Purpose:</p><br><p>This role demands a highly technical, data-driven professional with strong expertise in ETL pipeline development, credit risk data management, and IFRS9 model support. The incumbent will lead the design, implementation, and governance of end-to-end risk data pipelines, ensuring alignment with regulatory and modelling requirements.</p><br><p>As part of the ERM – Risk Function, the Risk Data Management team plays a critical role in meeting CBUAE, IFRS9, and Basel II/III requirements. The role is responsible for ensuring availability, accuracy, and traceability of data used in PD, LGD, and EAD models, including default tagging, post-default events, recovery tracking, and exposure computation.</p><br><p>Key Responsibilities:</p><br><p>1. ETL &amp; Risk Data Engineering</p><br><p>• Design, develop and maintain scalable ETL pipelines using SQL, Python, and SAS</p><br><p>• Support datasets for default identification, post-default events, recovery, and exposure</p><br><p>• Implement incremental and full-load strategies ensuring no duplication or leakage</p><br><p>• Optimize SQL for large-scale distributed processing environments</p><br><p>• Integrate data from core banking, collections, GSAM, and external sources</p><br><p>2. IFRS9 &amp; Credit Risk Data Management</p><br><p>• Translating IFRS9 methodology into technical data pipelines</p><br><p>• Support PD, LGD, EAD model data preparation</p><br><p>• Implement staging (Stage 1/2/3), default, and curing logic</p><br><p>• Handle recoveries, write-offs, restructures, and exposure calculations</p><br><p>3. Model Implementation &amp; Validation Support</p><br><p>• Provision model-ready datasets for deployment</p><br><p>• Support feature engineering, segmentation, and backtesting datasets</p><br><p>• Perform reconciliation with developed/reference outputs and identify mismatches</p><br><p>4. Data Quality &amp; Governance</p><br><p>• Develop DQ frameworks covering completeness, accuracy, and consistency</p><br><p>• Perform root cause analysis on data issues</p><br><p>• Ensure full data lineage and traceability</p><br><p>5. Risk Technology &amp; System Integration</p><br><p>• Collaborate with IT for system integration and model deployment</p><br><p>• Support risk system migration and upgrades</p><br><p>• Perform testing for data migration and model accuracy</p><br><p>6. Automation &amp; Reporting</p><br><p>• Automate regulatory and internal reporting processes</p><br><p>• Prepare datasets for dashboards and regulatory submissions</p><br><p>• Support reporting tools such as Power BI and BusinessObjects</p><br><p>Preferred Tools &amp; Technologies:</p><br><p>SQL (Impala, Hive, Oracle), Python, SAS, Cloudera CDP, Power BI, SAP BO</p><br><p>Core Domain Expertise:</p><br><p>IFRS9, Basel II/III, PD/LGD/EAD modelling, credit risk data lifecycle</p><br><p>Terms and conditions</p><br><p>Joining time frame: Immediate</p><br><br><br> </div>

<p>This role requires a hands-on Data Engineer who has personally delivered and operated a full data lake on Azure. You will initially partner on build, then take full ownership of platform performance, scalability, and evolution. Client Details A multi-regional organisation undergoing a large-scale digital transformation focused on modern data platforms. The business is investing heavily in enterprise-grade cloud, data, and analytics capabilities Description * Design and build Azure-based data lake (ADLS, ADF, Synapse/Fabric) * Develop production-grade Spark pipelines (batch & near real-time) * Own data modelling for Power BI (star schema, semantic layers) * Implement data governance, lineage, and quality controls (e.g. Purview) * Take full ownership of platform BAU: monitoring, performance, cost Job Offer * End-to-end ownership of a business-critical data platform * Exposure to large-scale transformation and senior stakeholders</p><p>* 5-7 years' Data Engineering experience with at least 1 full data lake delivery * Expert in Azure stack (ADF, ADLS, Synapse/Fabric) + strong PySpark * Proven ownership of production pipelines (design, deploy, operate) * Strong SQL & Python; experience with APIs, ERP integrations (e.g. D365) * Demonstrated experience structuring data specifically for Power BI</p>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><ul><li>Architect and implement robust, scalable data pipelines on Azure using Databricks, ensuring efficient data ingestion, transformation, and loading.</li><li>Design and manage real-time data streaming solutions with Kafka, enabling low-latency data processing and event-driven architectures.</li><li>Lead the development of data models and schemas optimized for performance and analytical querying within the Azure ecosystem.</li><li>Oversee the deployment, monitoring, and optimization of data infrastructure, ensuring high availability and cost-effectiveness.</li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>Bachelor's or Master's degree in Computer Science, Engineering, or a related quantitative field.</li><li>5+ years of progressive experience in data engineering, with a strong focus on cloud platforms.</li><li>Proven expertise in Azure services, particularly Azure Databricks and Azure Data Factory.</li><li>Deep understanding of Kafka for real-time data streaming and event processing.</li></ul><p></p></section>

<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"> <p>Bayut &amp; dubizzle have the unique distinction of being iconic, homegrown brands with a strong presence across the seven emirates in the UAE. Connecting millions of users across the country, we are committed to delivering the best online search experience.</p><br><p>As part of Dubizzle Group, we are alongside some of the strongest classified brands in the market. With a collective strength of 5 brands, we have more than 123 million monthly users that trust in our dedication to providing them with the best platform for their needs.</p><br><p>As a Senior Data Analyst, you will be in a central position, evangelising data and our methodologies to other functional analysts and stakeholders across the company. You will have close interaction with teams in marketing, sales, finance, and product.</p><br><p><strong>In this role, you will:</strong></p><br><ul><li>Access data, construct, and manipulate large datasets to support planned analyses using SQL, Python, and similar tools.</li><li>Design and develop BI dashboards with Sisense or similar tools (Tableau, Power BI, Data Studio) for various organisational metrics and indicators, applying best practices and industry standards across finance, sales, inventory, and other areas.</li><li>Conduct full lifecycle analysis to include requirements, activities and design.</li><li>Define KPIs and metrics, and drive data governance through standardisation and communication.</li><li>Create the documentation and presentation for the management.</li><li>Develop analysis and reporting capabilities; monitor performance and quality control plans to identify improvements.</li><li>Adept at queries, report writing and presenting findings.</li><li>Research and validate entity data using appropriate internal and external data sources.</li><li>Validate entity reference data in a central account database.</li><li>Responsible for exception management, reconciliation, and reporting.</li><li>Liaise and perform analysis across projects within the Reference Data environment.</li><li>Analyse, identify specifications, test, and implement interfaces, workflow solutions, and reference data solutions – for example, regression testing systems ahead of upgrades.</li><li>Take ownership of allocated work throughout its entire life cycle.</li><li>Develop new models to address business needs and identify and implement improvements to existing solutions; projects are diverse and can take several forms (e.g., simulation, linear/non-linear optimisation, prediction, machine learning).</li><li>Participate in the design, implementation, and interpretation of experiments and trials to continuously refine ongoing strategies.</li><li>Responsible for data quality and the timely delivery of reports that make common business sense.</li><li>Create and maintain documentation for analytics, tools, and processes to ensure effective transition to the end user.</li><li>Prepare and deliver Data Analytics &amp; Reporting training to evangelise data across the organisation.</li><li>Be able to work autonomously without supervision on complex projects.</li></ul> </div>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><ul><li>Spearhead the end-to-end delivery of treasury data projects, ensuring alignment with strategic financial objectives and risk management frameworks.</li><li>Define project scope, objectives, and deliverables, translating complex treasury requirements into actionable data solutions.</li><li>Develop and manage detailed project plans, timelines, and budgets, proactively identifying and mitigating risks specific to treasury operations.</li><li>Lead cross-functional teams comprising treasury analysts, data scientists, IT specialists, and business stakeholders to achieve project goals.</li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>Bachelor's or Master's degree in Finance, Economics, Data Science, or a related quantitative field.</li><li>A minimum of 7-10 years of progressive experience in project management, with a significant focus on treasury or financial data.</li><li>Proven track record of successfully delivering complex data projects within the financial services or corporate treasury sector.</li><li>PMP, PRINCE2, or Agile certifications are highly preferred to demonstrate structured project management capabilities.</li></ul><p></p></section>

<p>DATA ANALYST</p> <p>Transform information into insights and support smarter business decisions.</p> <p>A professional organization is seeking a detail-oriented and analytical Data Analyst to collect, analyze, and interpret data to support business performance and decision-making. This opportunity is ideal for individuals who enjoy working with numbers, reports, and technology. Freshers are encouraged to apply, while candidates with relevant analytical experience are welcome.</p> <p>Your Responsibilities<br /> Collect, organize, and analyze business data<br /> Prepare reports, dashboards, and data summaries<br /> Identify trends, patterns, and areas for improvement<br /> Maintain accurate databases and information records<br /> Support teams with data-driven insights and recommendations<br /> Monitor key performance indicators and prepare updates<br /> Verify data accuracy and resolve inconsistencies<br /> Assist with improving reporting processes<br /> What You&#8217;ll Need<br /> Freshers are welcome to apply<br /> Degree in Data Analytics, IT, Statistics, Business, or related field is preferred<br /> Strong analytical and problem-solving skills<br /> Good knowledge of Microsoft Excel and data reporting tools<br /> Attention to detail and accuracy<br /> Ability to organize and present information clearly<br /> Why Apply?<br /> Competitive salary package<br /> Visa provided as per UAE Labor Law<br /> Medical insurance and additional company benefits<br /> Career growth opportunities<br /> Professional and technology-focused working environment<br /> Application Details</p> <p>Position: Data Analyst<br /> Employment Type: Full-Time<br /> Location: UAE<br /> Submit your CV to: hr.1globalllc@gmail.com</p> <p>Only shortlisted candidates will be contacted for the interview process.</p>

<p>DATA ANALYST</p> <p>Transform information into insights and support smarter business decisions.</p> <p>A professional organization is seeking a detail-oriented and analytical Data Analyst to collect, analyze, and interpret data to support business performance and decision-making. This opportunity is ideal for individuals who enjoy working with numbers, reports, and technology. Freshers are encouraged to apply, while candidates with relevant analytical experience are welcome.</p> <p>Your Responsibilities<br /> Collect, organize, and analyze business data<br /> Prepare reports, dashboards, and data summaries<br /> Identify trends, patterns, and areas for improvement<br /> Maintain accurate databases and information records<br /> Support teams with data-driven insights and recommendations<br /> Monitor key performance indicators and prepare updates<br /> Verify data accuracy and resolve inconsistencies<br /> Assist with improving reporting processes<br /> What You&#8217;ll Need<br /> Freshers are welcome to apply<br /> Degree in Data Analytics, IT, Statistics, Business, or related field is preferred<br /> Strong analytical and problem-solving skills<br /> Good knowledge of Microsoft Excel and data reporting tools<br /> Attention to detail and accuracy<br /> Ability to organize and present information clearly<br /> Why Apply?<br /> Competitive salary package<br /> Visa provided as per UAE Labor Law<br /> Medical insurance and additional company benefits<br /> Career growth opportunities<br /> Professional and technology-focused working environment<br /> Application Details</p> <p>Position: Data Analyst<br /> Employment Type: Full-Time<br /> Location: UAE<br /> Submit your CV to: hr.1globalllc@gmail.com</p> <p>Only shortlisted candidates will be contacted for the interview process.</p>

<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>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><ol><li><p>Data Analysis &amp; Insight Generation</p></li></ol><p>Analyze large datasets to identify trends and generate actionable insights for decision making and operational efficiency.</p><p>Communicate findings through visualizations and clear storytelling.</p><ol><li><p>Machine Learning &amp; Model Development</p></li></ol><p>Develop and deploy machine learning models for use cases such as forecasting, optimization, and risk analysis.</p><p>Apply statistical and machine learning techniques to solve complex business problems.</p><ol><li><p>Data Preparation &amp; Feature Engineering</p></li></ol><p>Prepare data through extraction, cleaning, preprocessing, and feature engineering.</p><p>Ensure data quality and integrity for reliable model performance.</p><ol><li><p>Model Deployment &amp; Monitoring</p></li></ol><p>Deploy models into production and monitor performance for drift or degradation.</p><p>Continuously improve models based on feedback and new data.</p><ol><li><p>Collaboration &amp; Stakeholder Engagement</p></li></ol><p>Work with business teams to translate requirements into analytical solutions.</p><p>Collaborate with Data Engineering and Data Governance teams for end to end delivery.</p><ol><li><p>AI Governance</p></li></ol><p>Ensure all AI and machine learning activities comply with governance, privacy, and regulatory requirements by following defined lifecycle processes, risk classification, and using approved governed data.</p><p>Implement responsible and secure AI practices, including bias and fairness checks, explainability, model documentation, auditability, and collaboration with Cybersecurity and Data Governance teams.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li><p>Minimum Qualifications</p><ul><li><p>Bachelor's or Master's Degree in Data Science, Artificial Intelligence (AI), Statistics, Computer Science, or a related field.</p></li></ul><p>Minimum Experience</p><ul><li><p>Minimum <strong>5+ years</strong> of experience in Data Science, Machine Learning, Artificial Intelligence, or Advanced Analytics.</p></li><li><p>Proven experience developing, deploying, and maintaining machine learning models in production environments.</p></li><li><p>Experience working with large-scale datasets and cloud-based analytics platforms is preferred.</p></li></ul><p>Skills &amp; Competencies</p><ul><li><p>Strong programming skills in <strong>Python</strong> (preferred) or <strong>R</strong>.</p></li><li><p>Experience with large-scale data processing using <strong>SQL</strong>, <strong>Spark</strong>, or similar technologies.</p></li><li><p>Hands-on experience with machine learning frameworks such as <strong>TensorFlow</strong>, <strong>PyTorch</strong>, and <strong>Scikit-learn</strong>.</p></li><li><p>Experience in end-to-end machine learning model development, validation, deployment, and optimization.</p></li><li><p>Knowledge of <strong>MLOps</strong> practices, including CI/CD pipelines, model monitoring, version control, and automated retraining.</p></li><li><p>Understanding of data engineering concepts, data pipelines, and cloud data platforms, preferably <strong>Microsoft Azure</strong> and <strong>Databricks</strong>.</p></li><li><p>Strong knowledge of statistical analysis, predictive modeling, feature engineering, and data preprocessing techniques.</p></li><li><p>Experience using data visualization tools such as <strong>Power BI</strong> and <strong>Tableau</strong> to communicate analytical insights.</p></li><li><p>Understanding of data governance, data quality management, privacy regulations, and AI governance principles.</p></li><li><p>Strong analytical thinking, problem-solving, and critical reasoning skills.</p></li><li><p>Excellent communication, presentation, and stakeholder management skills.</p></li><li><p>Ability to work collaboratively with cross-functional teams in an agile environment.</p></li><li><p>Strong organizational skills with the ability to manage multiple priorities and deliver high-quality outcomes within deadlines.</p></li></ul></li></ul><p></p></section>

<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>