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2027 point72 academy investment analyst summer internship program - emea Jobs in Dubai

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data analyst

Charterhouse Middle East

<div>
 <p>
  <strong>
   AED 15,000 - 20,000 Per Month
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  Charterhouse is working on behalf of a pioneering research and innovation hub that is redefining education. This organization integrates nature, culture, inquiry, and innovation to create transformative learning environments. Its dedicated research arm focuses on designing, prototyping, and evaluating new educational approaches, using data-driven insights to shape the future of learning. Our client is looking to hire a Data Analyst, which will play a critical role in generating real-time insights into learner growth, pilot projects, and system impact.
 </p>
 <p>
  <br/>
 </p>
 <p>
  The Data Analyst designs and manages data systems, analyze research outcomes, and produce evidence-based reports that inform strategic decisions. Working as a Data Analyst, the role involves developing and maintaining data frameworks, tools, and dashboards for research and pilot projects while ensuring accurate, timely, and ethical collection and management of quantitative and qualitative data.
 </p>
 <p>
  <br/>
 </p>
 <p>
  Responsibilities includes conducting statistical analysis, identifying patterns, and translating findings into actionable insights. The role will also prepare clear visualizations and reports for leadership, internal teams, and stakeholders. Collaboration with educators, researchers, and external partners will be essential to integrate data into innovation processes. The role will further support evaluation of pilot projects, including baseline measures and impact assessments, while staying current with best practices in educational data analytics and learning sciences.
 </p>
 <p>
  <br/>
 </p>
 <p>
  The ideal Data Analyst will hold a Bachelor&rsquo;s or Master&rsquo;s degree in Data Science, Statistics, Education, Psychology, or a related field. The candidate should have two to four years of experience in data analysis, preferably within education, social sciences, or innovation sectors. Strong proficiency in data analysis tools such as Excel, R, Python, or SPSS is required, along with experience using dashboard and visualization tools like Tableau or Power BI. Demonstrating the ability to communicate complex data insights to non-technical audiences and possess knowledge of ethical data collection and safeguarding practices are essential for the role.
 </p>
 <p>
  <br/>
 </p>
 <p>
  Our client requires an analytical and creative thinker with strong critical reasoning skills. Excellent communication and collaboration abilities are essential, as is adaptability to evolving questions and iterative projects. Integrity and commitment to ethical data practices are fundamental to this role. This position is ideal for someone who sees data not just as numbers, but as a powerful storytelling tool to drive innovation.
 </p>
</div>


Data Analyst

Boundless

<div>
 <p>
  <strong>
   Company overview
  </strong>
 </p>
 <p>
  Our client, a long-established, globally regulated financial and technology group, operates across multiple international markets and serves millions of users through advanced trading platforms and digital financial products. The business combines institutional-grade trading infrastructure with modern data and analytics capabilities, supporting high-volume, accuracy-critical decision-making across dealing, risk, and performance functions.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Role overview
  </strong>
 </p>
 <p>
  This role sits close to the quantitative dealing function, working day-to-day with Quantitative Analysts and internal stakeholders to support reporting pipelines, production datasets, and analytical workflows. In addition to maintaining reporting outputs, the Data Analyst will validate trading and risk metrics, investigate discrepancies across data sources, and support continuous improvements to the analytical frameworks used in daily decision-making. It offers hands-on exposure to real trading data, risk management processes, and modern data infrastructure&mdash;well-suited to an early-career professional or recent graduate seeking growth in a quantitative dealing environment.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Responsibilities
  </strong>
 </p>
 <ul>
  <li>
   Monitor and validate daily and periodic reports to ensure accuracy, consistency, and alignment with agreed definitions and benchmarks.
  </li>
  <li>
   Perform first-level reconciliation and discrepancy analysis across multiple data sources, identifying root causes and documenting findings.
  </li>
  <li>
   Maintain reporting datasets and support updates to filters/parameters, validating changes prior to release.
  </li>
  <li>
   Contribute to the quality, completeness, and reliability of data inputs used in risk management and hedging decisions.
  </li>
  <li>
   Use Excel, SQL, and Python to extract, compare, and analyze structured datasets for reporting and reconciliation.
  </li>
  <li>
   Support backtesting and verification of existing risk management and dealing algorithms, assessing behavior across historical periods and different scenarios.
  </li>
  <li>
   Document reporting logic, data assumptions, and procedural changes to improve transparency and reduce recurring discrepancies.
  </li>
  <li>
   Collaborate with Quantitative Analysts, dealers, and internal stakeholders to ensure smooth daily operations and data-driven decision-making.
  </li>
  <li>
   Gain exposure to cloud-based data and analytics services, contributing to scalable and increasingly automated workflows.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Requirements
  </strong>
 </p>
 <ul>
  <li>
   Strong attention to detail and a methodical approach to working with data in accuracy-critical environments.
  </li>
  <li>
   Basic working knowledge of Python for data analysis and manipulation.
  </li>
  <li>
   Basic to intermediate SQL skills for querying and validating structured datasets.
  </li>
  <li>
   High proficiency in Excel, including formulas, reconciliation methods, and structured analysis.
  </li>
  <li>
   Ability to work across multiple data sources and identify inconsistencies, anomalies, and potential data quality issues.
  </li>
  <li>
   Strong motivation to learn, take ownership of tasks, and develop technical skills through hands-on exposure.
  </li>
  <li>
   Good communication skills, with the ability to clearly document findings and explain outcomes to technical and non-technical stakeholders.
  </li>
  <li>
   Bachelor&rsquo;s degree (preferred) in Data Science, Statistics, Economics, Finance, or a related quantitative discipline.
  </li>
  <li>
   Genuine interest in trading and financial markets is an advantage.
  </li>
 </ul>
</div>


Bartawi General Contracting

<p>The Data Analyst is responsible for collecting, analyzing, and interpreting data related to real estate development, construction projects, sales, leasing, and operational performance. The role supports management by providing insights that improve decision-making, optimize project performance, and enhance profitability.</p><ul><li>Collect data from internal systems such as ERP, CRM, construction management software, and property management systems.</li><li>Maintain databases related to property sales, leasing, construction costs, and project timelines.</li><li>Ensure data accuracy, integrity, and consistency across all business units.</li><li>Analyze property prices, rental trends, demand-supply data, and competitor projects.</li><li>Monitor market performance in UAE real estate sectors (residential, commercial, retail, industrial).</li><li>Prepare reports on investment opportunities and market trends.</li><li>Identify risks such as project delays or cost overruns.</li><li>Develop financial models and forecasts for real estate projects.</li><li>Analyze project ROI, IRR, NPV, and profitability metrics.</li><li>Support budgeting and financial planning processes.</li><li>Create interactive dashboards and reports for management using tools like: Power BI, Tableau, Excel.</li><li>Provide insights to senior management for strategic planning.</li><li>Identify patterns, trends, and improvement opportunities.</li><li>Recommend data-driven strategies to improve operational efficiency</li></ul><p>Job Type: Full-time</p><p>Pay: AED5,000.00 - AED7,000.00 per month</p><p>Work Location: In person</p>

Create Group

<div>
 <p>
  📍Dubai
 </p>
 <p>
  ⏱ Start: ASAP
 </p>
 <p>
  <br/>
 </p>
 <p>
  At
  <strong>
   Create
  </strong>
  , data isn&rsquo;t just numbers, it&rsquo;s the story behind what makes people click, share, and come back.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Create Group
  </strong>
  is a Dubai-based, strategic digital creative agency &mdash; awarded Campaign Middle East's Digital Agency and Independent Creative Agency of the Year in both 2024 and 2025, and named one of Adweek's fastest-growing creative agencies globally. We believe great work doesn't just reach audiences &mdash; it turns them into fans. We do that by connecting brave, ambitious regional brands with their communities through world-class experiences across social, content, and digital. From always-on social programmes and campaign platforms to enterprise-level web builds and apps, everything we deliver is backed by data, culture, and a genuine obsession with craft. We're growing fast &mdash; and we're building the team to match.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   We&rsquo;re looking for a Data Analyst who turns data into decisions.
  </strong>
 </p>
 <p>
  You&rsquo;ll work inside cross-functional squads (strategy, design, dev) and help prioritize the roadmap using data, build measurement frameworks and run experimentation that drives measurable outcomes. Expect stakeholder-facing storytelling, deep analysis and hands-on tracking/dashboards.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   What You&rsquo;ll Do
  </strong>
 </p>
 <ul>
  <li>
   Own
   <strong>
    measurement strategy
   </strong>
   across website + app (KPIs, taxonomy, dashboards, reporting cadence)
  </li>
  <li>
   Implement and QA tracking via
   <strong>
    GA4 + GTM
   </strong>
   (and
   <strong>
    Firebase
   </strong>
   for app, if applicable)
  </li>
  <li>
   Build usable reporting in
   <strong>
    Looker Studio
   </strong>
   backed by
   <strong>
    BigQuery
   </strong>
   (clean, scalable data)
  </li>
  <li>
   Conduct
   <strong>
    deep-dive analysis
   </strong>
   (funnels, cohorts, segmentation, market/channel/device performance)
  </li>
  <li>
   Lead
   <strong>
    A/B testing and experimentation
   </strong>
   (hypotheses, success metrics, readouts, next tests)
  </li>
  <li>
   Translate findings into
   <strong>
    strategic recommendations
   </strong>
   for both internal teams and client stakeholders
  </li>
  <li>
   Improve governance: UTM standards, event naming conventions, data quality checks, documentation
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   What You&rsquo;ll Bring
  </strong>
 </p>
 <ul>
  <li>
   5+ years in
   <strong>
    digital analytics / product analytics
   </strong>
   (web + app preferred)
  </li>
  <li>
   Strong hands-on skills with
   <strong>
    GA4, GTM, BigQuery, Looker Studio
   </strong>
  </li>
  <li>
   Solid
   <strong>
    SQL
   </strong>
   (required) and comfort working with event-level datasets
  </li>
  <li>
   Demonstrated experience running or evaluating
   <strong>
    A/B tests / experiments
   </strong>
  </li>
  <li>
   Strong grasp of
   <strong>
    funnel analysis, attribution/measurement, and KPI frameworks
   </strong>
  </li>
  <li>
   Ability to communicate clearly with
   <strong>
    product squads and senior stakeholders
   </strong>
  </li>
  <li>
   Bonus: Firebase, Amplitude/Mixpanel, dbt, statistics foundations, consent/privacy implications
  </li>
 </ul>
 <p>
 </p>
</div>


edari

<div>
 <p>
  <strong>
   We are looking to hire a Data Analyst
  </strong>
  who will be responsible for supporting Customer 360 initiatives for our client based in Dubai, which is one of the largest semi-government companies in the region.
 </p>
 <p>
  <br/>
 </p>
 <p>
  This position is a
  <strong>
   contract role with an initial duration of 12 months
  </strong>
  and is
  <strong>
   renewable
  </strong>
  based on performance and business requirements.
 </p>
 <p>
  <br/>
 </p>
 <p>
  The role sits within the
  <strong>
   CRM Team
  </strong>
  and works closely with
  <strong>
   IT and Data teams
  </strong>
  to ensure customer data consistency, accuracy, and reliability across systems.
 </p>
 <p>
  <br/>
 </p>
 <p>
  We are looking for a
  <strong>
   detail-oriented and analytical Data Analyst
  </strong>
  who is passionate about data quality, customer data governance, and building a single, accurate golden customer profile. You should have hands-on experience working with CRM platforms, preferably Salesforce, and be comfortable handling large datasets with a structured, rule-based approach.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Key responsibilities:
  </strong>
 </p>
 <ul>
  <li>
   Review and analyze customer records across the Customer 360 resolution portal and connected systems.
  </li>
  <li>
   Validate customer data in Salesforce and identify duplicate or conflicting records.
  </li>
  <li>
   Merge and consolidate customer accounts to create a single golden customer profile based on defined business rules.
  </li>
  <li>
   Perform data quality checks to ensure accuracy, completeness, and consistency of customer data.
  </li>
  <li>
   Document resolution decisions in line with data governance standards and processes.
  </li>
  <li>
   Identify, flag, and escalate data issues, edge cases, and systemic gaps to relevant stakeholders.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Knowledge, skills &amp; experience:
  </strong>
 </p>
 <ul>
  <li>
   Must have
   <strong>
    2 - 4 years
   </strong>
   of working experience as a Data Analyst or similar roles.
  </li>
  <li>
   Prior experience working with CRM systems;
   <strong>
    Salesforce
   </strong>
   experience is required.
  </li>
  <li>
   Strong Excel skills with basic data analysis capabilities.
  </li>
  <li>
   High attention to detail with a structured and methodical problem-solving mindset.
  </li>
  <li>
   Ability to interpret data rules, customer hierarchies, and unique identifiers.
  </li>
  <li>
   Strong documentation and communication skills, with the ability to work cross-functionally.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Availability:
  </strong>
 </p>
 <ul>
  <li>
   Preference will be given to candidates who are
   <strong>
    available immediately
   </strong>
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  We are looking for a candidate who will be able to work in the
  <strong>
   United Arab Emirates
  </strong>
  . Please apply with your updated resume and ensure your contact details are clearly mentioned.
 </p>
 <p>
  <br/>
 </p>
 <p>
  We will review your application within
  <strong>
   7 working days
  </strong>
  . Should your profile meet the requirements, a consultant from
  <strong>
   Edari
  </strong>
  will contact you to gain a deeper understanding of your experience, discuss the role in more detail, and outline the next steps.
 </p>
 <p>
 </p>
</div>


Data Analyst (Salesforce)

HireAlpha

<div>
 <p>
  <strong>
   JOB DESCRIPTION - DATA ANALYST
  </strong>
 </p>
 <p>
  <strong>
   Role-Senior Data Analyst &ndash; Azure &amp; Databricks (Banking Domain)
  </strong>
 </p>
 <p>
  <strong>
   Exp-5+ Years
  </strong>
 </p>
 <p>
  <strong>
   Location-Dubai
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Core Skills:
  </strong>
 </p>
 <ul>
  <li>
   Strong analytical and problem-solving skills to effectively design data solutions.
  </li>
  <li>
   Banking Retail, Business &amp; Wholesale Product Knowledge and understanding
  </li>
  <li>
   Attention to detail and a commitment to delivering high-quality work.
  </li>
  <li>
   Excellent communication and teamwork skills to collaborate with cross-functional teams.
  </li>
  <li>
   Ability to manage time effectively and prioritize tasks in a dynamic work environment.
  </li>
  <li>
   Technical Skills:
  </li>
  <li>
   Strong data querying and processing skills using SQL, Oracle, Apache Spark or similar language
  </li>
  <li>
   Data Visualization tools &ndash; Power BI, Business Objects, Crystal or similar tool
  </li>
  <li>
   Data Warehousing and ETL concepts
  </li>
  <li>
   Competencies:
  </li>
  <li>
   Expert-level proficiency in SQL, Python with SAS/R/Spark as plus
  </li>
  <li>
   Deep understanding of distributed data processing frameworks, particularly Apache Spark.
  </li>
  <li>
   Experience with cloud platforms (Azure, AWS) &mdash; including Object storage, compute, networking, and data integration services.
  </li>
  <li>
   Familiarity with data modeling techniques, including schema design, partitioning, and performance tuning.
  </li>
  <li>
   Experience working with structured and semi-structured data formats (e.g., JSON, Parquet, Avro, XML).
  </li>
  <li>
   Knowledge of data governance, quality assurance, and compliance best practices.
  </li>
  <li>
   Solid grasp of core computer science fundamentals (e.g., data structures, search algorithms, queues) relevant to performance-critical data engineering
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Education and Experience-
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Minimum formal education
  </strong>
 </p>
 <ul>
  <li>
   Bachelors or master&rsquo;s degree in computer science, Information Technology, or a related field.
  </li>
  <li>
   Demonstrated expertise in working with Data Bricks for data processing and analysis.
  </li>
  <li>
   Experience in implementing and optimizing data solutions using multiple programming languages in an Azure environment.
  </li>
 </ul>
 <p>
  <strong>
   Certification requirement
  </strong>
 </p>
 <p>
  Any Cloud Technology Certification an advantage
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Experience
  </strong>
 </p>
 <ul>
  <li>
   Proven experience as a Data Analyst or in a similar role, with at least X years of hands-on experience in developing data pipelines and managing data infrastructure within Azure.
  </li>
  <li>
   3 years of experience in banking data
  </li>
  <li>
   Databricks and SQL experience required
  </li>
  <li>
   Experience in reporting, analysis and MIS teams preferred
  </li>
  <li>
   Worked on end-to-end Data Product deployment
  </li>
 </ul>
 <p>
 </p>
</div>


Lead Data Analyst

Intech Creative Services

<div></div><div><div><div><div><div><div><h6 class="jobSectionHeader"><b>Experience:</b></h6>
</div><div>3-5 years
</div></div><div><div><h6 class="jobSectionHeader"><b>Technology:</b></h6>
</div><div>Power BI
</div></div><div><div><h6 class="jobSectionHeader"><b>Job Type:</b></h6>
</div><div>Permanent
</div></div><div><div><h6 class="jobSectionHeader"><b>Vacancies:</b></h6>
</div><div>1
</div></div><div><div><h6 class="jobSectionHeader"><b>Location:</b></h6>
</div><div>Dubai
</div></div></div><div><div><h2 class="jobSectionHeader"><b>Job Description</b></h2>
</div><div><h2 class="jobSectionHeader"><b>Job Title: Power BI Developer</b></h2><p><b>
Location:</b> Dubai, UAE</p><p>
<b>
Experience:</b> 3&ndash;5 Years</p><p>
<b>
Employment Type:</b> Full-time</p><h2 class="jobSectionHeader"><b>
Job Summary</b></h2><p>
We are seeking a skilled <b>Power BI Developer</b> to design, build, and optimize business intelligence dashboards and data models. The ideal candidate will have strong analytical capabilities, hands-on experience with Power BI development, and the ability to work closely with business stakeholders to deliver insightful analytics solutions.</p><h2 class="jobSectionHeader"><b>
Key Responsibilities</b></h2><ul>
<li><p>
Develop, design, and deploy <b>Power BI dashboards</b>, reports, and data visualizations.</p></li>
<li><p>
Build <b>data models</b>, create measures using DAX, and optimize data sets for efficient reporting.</p></li>
<li><p>
Collaborate with business teams to <b>gather requirements</b> and translate them into technical specifications.</p></li>
<li><p>
Create <b>ETL processes</b>, integrate data from multiple sources, and ensure data quality.</p></li>
<li><p>
Optimize dashboard performance through efficient data modeling and best practices.</p></li>
<li><p>
Manage <b>Power BI workspace</b>, datasets, scheduled refresh, and access permissions.</p></li>
<li><p>
Troubleshoot issues related to data accuracy, report performance, and system integration.</p></li>
<li><p>
Maintain documentation for data sources, models, and dashboards.</p></li>
<li><p>
Support ongoing enhancements and contribute to overall BI roadmap.</p></li>
</ul><h2 class="jobSectionHeader"><b>
Required Skills &amp; Qualifications</b></h2><ul>
<li><p>
Bachelor&rsquo;s degree in Computer Science, Information Technology, Engineering, or related field.</p></li>
<li><p><b>
3&ndash;5 years of hands-on experience</b> in Power BI development.</p></li>
<li><p>
Strong proficiency in:</p><ul>
<li><p>
Power BI Desktop &amp; Power BI Service</p></li>
<li><p><b>
DAX</b>, Power Query (M language)</p></li>
<li><p>
Data modeling, star schema, and ETL concepts</p></li>
</ul></li>
<li><p>Good SQL skills for writing complex queries.</p></li>
<li><p>
Experience working with data sources such as Azure SQL, SQL Server, Excel, SharePoint, APIs, etc.</p></li>
<li><p>
Understanding of data warehousing, data validation, and BI best practices.</p></li>
<li><p>
Ability to interpret business requirements and convert them into logical dashboards.</p></li>
<li><p>
Strong analytical, problem-solving, and communication skills.</p></li>
</ul><h2 class="jobSectionHeader"><b>
Preferred Qualifications (Nice-to-Have)</b></h2><ul>
<li><p>
Experience with <b>Azure Data Factory</b>, Azure Synapse, or other cloud data platforms.</p></li>
<li><p>
Knowledge of Python or R for analytics.</p></li>
<li><p>
Exposure to Power Automate or integration with Microsoft ecosystem.</p></li>
<li><p>
Experience in fast-paced industries like fintech, retail, logistics, or consulting.</p></li>
</ul><h2 class="jobSectionHeader"><b>
Benefits</b></h2><ul>
<li><p>
Competitive salary package based on UAE market standards.</p></li>
<li><p>
Annual leave, medical insurance, and other statutory benefits.</p></li>
<li><p>
Opportunity to work with cutting-edge BI tools and enterprise-level data platforms.</p></li>
<li><p>
Collaborative and multicultural work environment.</p></li></ul></div></div></div></div></div><p></p>

Explore 827+ Data analyst in Dubai this March. Find roles across top companies and apply now to boost your career.

827 data analyst jobs In Dubai

Data Analyst

Data Analyst

Data Analyst

Data Analyst

Data Analyst (Salesforce)

Lead Data Analyst

Data Analyst