business analyst Jobs in Dubai United Arab Emirates

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data analyst Jobs in Dubai United Arab Emirates

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business data analyst Jobs in Dubai United Arab Emirates

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Glow Beauty On Demand

Job Title Data Scientist - Advanced Analytics &amp; AI Solutions Dubai UAE Job Description Data Scientist - Advanced Analytics &amp; AI Solutions Dubai UAE Role Summary MetLife Gulf is seeking a talented Data Scientist to join its Data Analytics team, driving innovation and business transformation through advanced analytics and AI solutions. This role is central to MetLife s data-first strategy, helping shape predictive models, optimize decision-making, and elevate customer experience across insurance and financial services. Employment Overview Job Location: Dubai, UAE Industry: Insurance Function: Data Science / Analytics Salary: 25000-32000 monthly (Market estimated) Gender: Any Candidate Nationality: Any Job Type: Full-time (Hybrid) What You ll Do * Lead the design and execution of advanced data science projects, including predictive modeling, AI, and machine learning initiatives * Build and deploy data pipelines, backend models, and scalable analytics solutions * Collaborate with stakeholders to align data projects with strategic objectives * Develop visually impactful dashboards and reports using Power BI * Perform data mining, feature engineering, and statistical analysis for actionable insights * Integrate advanced analytics solutions across business units for pricing, claims, and sales optimization * Mentor and coach team members to enhance analytics and AI capabilities * Drive continuous innovation through experimentation with emerging technologies * Ensure data governance, model validation, and compliance with organizational standards Ideal Profile * Master s degree preferred; Bachelor s in Data Science, Computer Science, or related field * 3+ years of experience in machine learning, deep learning, and predictive analytics * Strong programming skills in Python or R and experience building data pipelines * Expertise in NLP, hypothesis testing, and conceptual modeling * Proficiency in Power BI and knowledge of Alteryx or similar visualization tools * Familiarity with Microsoft Azure or cloud-based environments * Strong storytelling and data visualization skills for non-technical audiences * Business acumen with ability to translate insights into impactful business strategies Why Join Us MetLife offers an inclusive, purpose-driven work culture recognized globally for excellence. Enjoy competitive compensation, hybrid work flexibility, and career growth opportunities in an organization committed to innovation, customer experience, and sustainable business practices.

Data Scientist

Dataiku

The role of a Data Scientist at Dataiku is quite unique. Our Data Scientists not only code up solutions to real-world problems, but also participate in client-facing endeavours throughout the customer journey. This includes supporting their discovery of the platform, helping integrate Dataiku with other tools and technologies, some user training, and co-developing data science projects from design to deployment.
Just as non-technical skills are important, so too are technical skills. Our Data Scientists work on the Dataiku platform every day. Aside from the visual tools, our team primarily uses Python and SQL, with occasional work in other languages (e.g., R, PySpark, JavaScript). An ideal candidate is excited to learn complex new technologies and modelling techniques while being able to explain their work to other data scientists and clients.
In this role, you'll help the team:
<ul>
<li>
Co-develop production-level data science projects with our customers
</li>
<li>
Analyse and investigate various kinds of data and machine learning applications across industries and use cases
</li>
<li>
Help users discover and master the Dataiku platform, via user trainings, office hours, and ongoing consultative support
</li>
<li>
Provide data science expertise both to customers and internally to Dataiku s sales and marketing teams
</li>
<li>
Develop custom Python-based plugins in collaboration with Solutions, R&amp;D, and Product teams, to enhance Dataiku s functionality
</li>
</ul>
Technical skills that may help you in the role:
<ul>
<li>
Experience with Consulting and/or Customer-facing Data Science roles
</li>
<li>
Experience with Data Engineering or MLOps
</li>
<li>
Experience developing WebApps in JavaScript, RShiny, or Dash
</li>
<li>
Experience building APIs
</li>
<li>
Experience using enterprise data science tools
</li>
<li>
Passion for teaching or public speaking
</li>
</ul>

Senior Data Scientist

talabat

<div>
 Since launching in Kuwait in 2004, talabat, the leading on-demand food and Q-commerce app for everyday deliveries, has been offering convenience and reliability to its customers. talabat&rsquo;s local roots run deep, offering a real understanding of the needs of the communities we serve in eight countries across the region.
 
 
 We harness innovative technology and knowledge to simplify everyday life for our customers, optimize operations for our restaurants and local shops, and provide our riders with reliable earning opportunities daily.
 
 
 At talabat, we foster an innovative environment where our talabaty employees can strive to create a positive impact across the region through the use of our platform.
 
 
 
 Job Description
 
 
 
 
 Role Summary
 
 
 
 As the leading delivery company in the region, we have a great responsibility and opportunity to impact the lives of millions of customers, restaurant partners, and riders. To realize our potential, we need to advance our platform to become much more intelligent in how it understands and serves our users.
 
 
 As a data scientist on the analysis track, your mission will be to improve the quality of the decisions made across product and business via relevant, reliable, and actionable data. You will own a particular domain across product and business and will work closely with the corresponding product and business managers as part of a talented team of data scientists and data engineers. You will own the entire data value chain including logging, data modeling, analysis, reporting, and experimentation.
 
 
 
 What&rsquo;s On Your Plate?
 
 
 
 <ul>
 <li>
 Leveraging ambiguous business problems as opportunities to drive objective criteria using data.
 </li>
 <li>
 Developing a deep understanding of the product experiences and business processes that make up your area of focus.
 </li>
 <li>
 Developing a deep familiarity with the source data and its generating systems through documentation, interacting with the engineering teams, and systematic data profiling.
 </li>
 <li>
 Contributing heavily to the design and maintenance of the data models that allow us to measure performance and comprehend performance drivers for your area of focus.
 </li>
 <li>
 Working closely with product and business teams to identify important questions that can be answered effectively with data.
 </li>
 <li>
 Delivering well-formed, relevant, reliable, and actionable insights and recommendations to support data-driven decision making through deep analysis and automated reports.
 </li>
 <li>
 Designing, planning and analyzing experiments (A/B and multivariate tests).
 </li>
 <li>
 Supporting product and business managers with KPI design and goal setting.
 </li>
 <li>
 Mentoring other data scientists in their growth journeys.
 </li>
 <li>
 Contributing to improving our ways of work, our tooling, and our internal training programs.
 
 
 </li>
 </ul>
 
 What Did We Order?
 
 
 
 
 Technical Experience
 
 
 
 <ul>
 <li>
 Excellent SQL.
 </li>
 <li>
 Competence with reproducible data analysis using Python or R.
 </li>
 <li>
 Familiarity with data modeling and dimensional design.
 </li>
 <li>
 Strong command over the entire data analysis lifecycle including; problem formulation, data auditing, rigorous analysis, interpretation, recommendations, and presentation.
 </li>
 <li>
 Familiarity with different types of analysis including; descriptive, exploratory, inferential, causal, and predictive analysis.
 </li>
 <li>
 Deep understanding of the various experiment design and analysis workflows and the corresponding statistical techniques.
 </li>
 <li>
 Familiarity with product data (impressions, events, ..) and product health measurement (conversion, engagement, retention, ..).
 </li>
 <li>
 Familiarity with BigQuery and the Google Cloud Platform is a plus.
 </li>
 <li>
 Data engineering and data pipeline development experience (e.g. via Airflow) is a plus.
 </li>
 <li>
 Experience with classical ML frameworks (e.g. Scikit-learn, XGBoost, LightGBM, ...) is a plus.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Bachelor's degree in engineering, computer science, technology, or similar fields. A postgraduate degree is a plus but not required.
 </li>
 <li>
 3+ years of overall experience working in data science and machine learning.
 </li>
 <li>
 Experience doing data science in an online consumer product setting is a plus.
 </li>
 <li>
 A good problem solver with a &lsquo;figure it out&rsquo; growth mindset.
 </li>
 <li>
 An excellent collaborator.
 </li>
 <li>
 An excellent communicator.
 </li>
 <li>
 A strong sense of ownership and accountability.
 </li>
 <li>
 A &lsquo;keep it simple&rsquo; approach to #makeithappen.
 </li>
 </ul>
</div>

Product Data Scientist II (Based in Dubai, UAE)

Accord Business Group

<div>
<div>
<div>
 Department/Group: PSD
 Reporting to: Solution Development Director
</div>
</div>
 Position Type: full-time
 
</div>
 Essential Duties &amp; Key Responsibilities: 
<ul>
<li>Support the team as they identify business problems and develop an offering vision. Support to include planning, research, and development of POCs.</li>
<li>Collaboratively translate business requirements into functional specifications. Produce appropriate documentation and actively participate in developing technology and workflow solutions.</li>
<li>Able to solve complex data science problems including problem framing, data preparation, model building, model deployment, model management, and output consumption</li>
<li>Strong data management skills for data extraction from relational databases, NoSQL databases, flat files, and data preparation, data quality assessment, and structuring the modeling data mart</li>
<li>Strong fundamentals of applied data science in a business setting</li>
<li>Strong analytical and problem-solving skills required, including a thorough understanding of how to interpret customer business needs and translate them into solution and operational requirements</li>
<li>Hands-on experience building and implementing predictive models using machine learning algorithms R or Python Language</li>
<li>Gathering business requirement and converting to technical design</li>
<li>Analyzing the ML algorithms that could be used to solve a given problem and ranking them by their success probability</li>
<li>Exploring and visualizing data to gain an understanding of it, then identifying differences in data distribution that could affect performance when deploying the model in the real world</li>
<li>Verifying data quality, and/or ensuring it via data cleaning</li>
<li>Supervising the data acquisition process if more data is needed</li>
<li>Finding available datasets online that could be used for training Defining validation strategies</li>
<li>Defining the pre-processing or feature engineering to be done on a given dataset</li>
<li>Defining data augmentation pipelines</li>
<li>Training models and tuning their hyperparameters</li>
<li>Analyzing the errors of the model and designing strategies to overcome them</li>
<li>Coding and Deploying models to production</li>
<li>Testing the performance of the models</li>
<li>Working with integration team and source systems team for seamless integration of data from source system.</li>
<li>Perform ETL data flow, source-target data mapping and creation of Data Mart, Data Model and staging area for data loading.</li>
<li>Strong customer interaction experience</li>
</ul>
 Job Specifications 
<ul>
<li>7+ yrs. of experience in advanced analytics and predictive modeling (related to Telecom CVM Analytics) and in real-world business experience in a data science role</li>
<li>Ability to understand/translate customer business needs into data requirements and analytical techniques</li>
<li>Support data acquisition, validation, cleaning/preparation, and management from incoming data sources to facilitate analysis. Fluency in SQL is required.</li>
<li>Covering the areas of full Analytics life cycle, from data preparation to advanced analytics predictive modelling, AI and dynamic dashboards for data visualization and ML-Ops</li>
<li>Telecom experience is required at least 4 years</li>
<li>High communication skills, Ability to communicate with and instruct people with various technical backgrounds, think analytically, write and edit technical material, and relate statistical concepts and applications to statistical and non-statistical SAS users</li>
<li>Have excellent programming skills</li>
<li>Have excellent English oral and written skills</li></ul>

Global Mission Support Services LLC

We Are Hiring: Healthcare Data AnalystLocation: Nauru Medical Centre, Republic of NauruNauru Medical Centre is seeking a highly skilled and experienced Healthcare Data Analyst to join our healthcare team. The Healthcare Data Analyst will be responsible for creating, maintaining, and analyzing medical databases to support clinical, administrative, and operational needs. This role involves working closely with healthcare providers, IT teams, and hospital administration to ensure data integrity, compliance with healthcare regulations, and the effective use of data for decision-making, research, and patient care improvement. The analyst will also be expected to explore data, identify trends, and provide actionable insights to guide hospital strategy and improve healthcare outcomes.Key Responsibilities<ul><li>Design, develop, and maintain medical/clinical databases and data pipelines.</li><li>Collect, clean, and standardize healthcare data from multiple sources (government and hospital databases, lab results, patient records, billing, etc.).</li><li>Ensure data accuracy, consistency, and compliance with healthcare standards.</li><li>Collaborate with clinicians and administrators to define reporting, research, and analytics needs.</li><li>Explore healthcare data to identify trends, anomalies, and opportunities for improvement.</li><li>Generate dashboards, reports, and visualizations for clinical, operational, and strategic insights.</li><li>Support hospital research projects with data extraction, structuring, statistical analysis, and reporting.</li><li>Conduct data-driven investigations to answer key business and clinical questions.</li><li>Identify opportunities to improve data collection processes and workflows.</li></ul>Qualifications<ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Health Informatics, Data Science, Statistics, Computer Science, or related field.</li><li>Experience with healthcare data management, EMR/EHR systems, or medical coding (ICD, CPT, SNOMED).</li><li>Proficiency in SQL and database management.</li><li>Strong skills in data analysis and statistical tools (Excel, Python, R, or similar).</li><li>Experience with BI tools (Power BI, Tableau, etc.) is a plus.</li><li>Knowledge of healthcare data standards and compliance requirements.</li><li>Strong problem-solving and research skills, with the ability to uncover insights from complex datasets.</li><li>Excellent communication skills to work effectively with both technical and non-technical stakeholders.</li></ul>What We Offer:<ul><li>Competitive tax-free salary</li><li>Free accommodation and meals</li><li>12-month contract with possibility of extension</li><li>30 days paid annual leave</li><li>Round-trip airfare</li><li>A unique professional and personal experience in an island healthcare system</li></ul>Apply Now:Submit your CV and supporting documents to talent@gmss.ltdJob Types: Full-time, Contract Contract length: 12 months

Health Care Data Analyst

LEAMS Education

Job Title Data Analyst Education Group Operations Dubai, UAE Job Description Data Analyst Education Group Operations Dubai, UAE Position Overview We are seeking a detail-oriented and technically skilled Data Analyst to join a leading education group in Dubai. This full-time role focuses on leveraging academic and operational data across multiple schools to drive performance improvements, inform strategy, and support data-driven decision-making at all levels. The successful candidate will work with school leaders, administrators, and technical teams to deliver dashboards, analytics models, and system improvements aligned with institutional goals. Job Details Job Location: Dubai, UAE Industry: Education / Teaching / Training Function: Data Science / Analytics Gender: Any Candidate Nationality: Any Candidate Current Location: Any Job Type: Full-time Job Overview As a Data Analyst, you will be responsible for analyzing and interpreting educational and operational data, creating interactive dashboards, validating school system data, and providing insight to guide school performance. Your work will directly contribute to improving learning outcomes, optimizing operational efficiency, and ensuring compliance with internal and external reporting standards. What You ll Do * Analyze academic and administrative data to support strategic planning across schools * Design Power BI dashboards, scorecards, and visual reports for school leaders and stakeholders * Perform data cleaning, merging, and modeling to unify information from various platforms * Evaluate trends and patterns to provide actionable insights for school performance improvements * Validate school assessment structures and data configurations within School Management Systems * Support academic module configurations and troubleshooting in the school database * Collaborate with internal departments and external vendors to streamline data integration * Train staff on data tools, systems usage, and reporting functions * Identify and resolve data quality issues while maintaining documentation and version control * Assist with KHDA inspection reporting and internal reviews * Support coding tasks, database queries, and optimization of analytics pipelines using Power Query and DAX * Recommend new data tools or processes for ongoing efficiency improvements Ideal Profile * Bachelor s or Master s degree in Data Analytics, Computer Science, Mathematics, or related field * Minimum 3 years experience in a data-focused role, preferably within the education sector * Strong proficiency in Power BI, Microsoft Excel, SQL, and data visualization tools * Excellent understanding of data modeling, cleaning, and validation techniques * Experience working with academic databases, School Management Systems, or similar platforms * Strong communication skills with the ability to present data insights clearly to non-technical users * Detail-oriented, analytical, and capable of handling large data sets accurately * Demonstrated ability to work collaboratively across departments and manage multiple priorities

Data Analyst

Job Title Data Analyst Education Group Operations Dubai, UAE Job Description Data Analyst Education Group Operations Dubai, UAE Position Overview We are seeking a detail-oriented and technically skilled Data Analyst to join a leading education group in Dubai. This full-time role focuses on leveraging academic and operational data across multiple schools to drive performance improvements, inform strategy, and support data-driven decision-making at all levels. The successful candidate will work with school leaders, administrators, and technical teams to deliver dashboards, analytics models, and system improvements aligned with institutional goals. Job Details Job Location: Dubai, UAE Industry: Education / Teaching / Training Function: Data Science / Analytics Gender: Any Candidate Nationality: Any Candidate Current Location: Any Job Type: Full-time Job Overview As a Data Analyst, you will be responsible for analyzing and interpreting educational and operational data, creating interactive dashboards, validating school system data, and providing insight to guide school performance. Your work will directly contribute to improving learning outcomes, optimizing operational efficiency, and ensuring compliance with internal and external reporting standards. What You ll Do * Analyze academic and administrative data to support strategic planning across schools * Design Power BI dashboards, scorecards, and visual reports for school leaders and stakeholders * Perform data cleaning, merging, and modeling to unify information from various platforms * Evaluate trends and patterns to provide actionable insights for school performance improvements * Validate school assessment structures and data configurations within School Management Systems * Support academic module configurations and troubleshooting in the school database * Collaborate with internal departments and external vendors to streamline data integration * Train staff on data tools, systems usage, and reporting functions * Identify and resolve data quality issues while maintaining documentation and version control * Assist with KHDA inspection reporting and internal reviews * Support coding tasks, database queries, and optimization of analytics pipelines using Power Query and DAX * Recommend new data tools or processes for ongoing efficiency improvements Ideal Profile * Bachelor s or Master s degree in Data Analytics, Computer Science, Mathematics, or related field * Minimum 3 years experience in a data-focused role, preferably within the education sector * Strong proficiency in Power BI, Microsoft Excel, SQL, and data visualization tools * Excellent understanding of data modeling, cleaning, and validation techniques * Experience working with academic databases, School Management Systems, or similar platforms * Strong communication skills with the ability to present data insights clearly to non-technical users * Detail-oriented, analytical, and capable of handling large data sets accurately * Demonstrated ability to work collaboratively across departments and manage multiple priorities Why Join Us * Be part of a progressive education group committed to innovation and excellence * Use your data skills to directly impact student outcomes and institutional efficiency * Work with advanced analytics tools and a supportive cross-functional team * Competitive salary and professional growth opportunities in the education sector

Data Analyst Education Group Operations

Explore 4441+ Data science analyst in Dubai United Arab Emirates this November. Find roles across top companies and apply now to boost your career.

4441 data science analyst jobs IN Dubai United Arab Emirates

Data Scientist

Senior Data Scientist

Product Data Scientist II (Based in Dubai, UAE)

Senior Data Scientist

Health Care Data Analyst

Data Analyst

Data Analyst Education Group Operations