data analyst

senior data scientist

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data and analytics architect Jobs in Dubai

data and analytics architect

senior data analyst

Swedishtechnology

<p><b>Job Purpose</b></p><p>We are seeking a Senior Data Analyst to serve as a key resource in fulfilling data requests from internal departments, executive leadership, and external stakeholders. The role ensures timely, accurate, and compliant delivery of data analysis, census reporting, and validation outputs that inform regulatory decisions and strategic planning aligned with Dubai&rsquo;s E33 education agenda.</p><p><b>Key Responsibilities Strategic Responsibilities</b></p><ul><li>Support data governance initiatives and continuous improvement of data processes</li><li>Participate in stakeholder workshops and document business requirements</li><li>Contribute to data documentation, metadata management, and business glossary development</li><li>Support API integrations and cross-entity data sharing initiatives</li><li>Identify opportunities to streamline data collection and analysis workflows</li></ul><p><b>Operational Responsibilities</b></p><ul><li>Extract, clean, and analyze sector data (Schools, Higher Education, ECCs, Training Institutes)</li><li>Conduct descriptive and diagnostic analysis for ad-hoc requests</li><li>Manage and prioritize incoming data service requests</li><li>Ensure compliance with data sharing agreements and Dubai Data Law</li><li>Prepare executive-ready reports and validation summaries</li><li>Perform data quality checks and root cause analysis</li><li>Support master data management and single-source-of-truth initiatives</li><li>Automate reporting workflows and repetitive data tasks</li><li>Collaborate with IT on system enhancements and validation rules</li><li>Communicate insights to non-technical stakeholders</li></ul><p><b>Qualifications Education</b></p><p>Bachelor&rsquo;s degree in Data Science, Statistics, Economics, Computer Science, or related field</p><p><b>Experience</b></p><ul><li>4+ years of experience in data analysis (preferably in government, education, or regulatory sectors)</li><li>Experience preparing executive-level reports</li><li>Experience streamlining processes through automation</li><li>Experience translating business requirements into system enhancements</li></ul><p><b>Technical Skills</b></p><ul><li>Advanced Excel, SQL, and Python (automation &amp; scripting)</li><li>Power BI or similar data visualization tools</li><li>Data governance and compliance knowledge</li><li>Data quality profiling and reconciliation techniques</li><li>Understanding of master data management concepts</li></ul><p><b>Nice to Have</b></p><ul><li>Experience with education sector data</li><li>Familiarity with Dubai Data Law and government data frameworks</li><li>Arabic language proficiency</li></ul><p>Job Type: Full-time</p><p>Application Question(s):</p><ul><li>Have you worked in a government or regulatory environment?</li><li>Are you familiar with data governance frameworks or data sharing agreements?</li></ul><p>Experience:</p><ul><li>Power Query, Pivot, VBA or automation: 3 years (Preferred)</li><li>Power BI or similar data visualization tools: 4 years (Preferred)</li><li>data analysis: 4 years (Required)</li><li>SQL and Python for data analysis and automation: 2 years (Required)</li></ul><p>Language:</p><ul><li>fluent in Arabic (Preferred)</li></ul><p>License/Certification:</p><ul><li>Driving License  (Preferred)</li></ul><p>Location:</p><ul><li>Dubai (Preferred)</li></ul>

Senior Data Analyst

ITCAN

<div><div><div><div><b>Role Summary</b><br>
We are looking for a Senior Data Analyst with strong technical depth and product sense to help us measure what matters, improve data quality, and turn platform data into clear reporting, insights, and growth opportunities. You will own analytics across key product and commercial areas, lead instrumentation and tracking practices, and partner closely with Product, Engineering, Growth, and Business teams in a high-scale digital platform environment.<br>
<br>
<b>Key Responsibilities</b><br>
<ul><li>Own end-to-end product analytics: define KPIs, build reporting, generate insights, and recommend opportunities that translate into shipped improvements and measurable impact.</li><li>Build scalable, trusted dashboards and recurring reports for leadership and squads.</li><li>Lead measurement planning for new features and initiatives, including defining success metrics, baselines, and monitoring.</li><li>Drive analytics deep-dives (funnels, cohorts, retention, segmentation, LTV, churn, attribution as relevant) to identify growth levers and friction points.</li><li>Design and analyze experiments (A/B testing and incrementality where applicable), and clearly translate outcomes into decisions and next steps.</li><li>Own data tracking and instrumentation standards:</li></ul>
Create and maintain tracking plans, event taxonomies, and analytics specifications.<br>
Partner with Engineering to implement event instrumentation across web and mobile (client-side and server-side where relevant).<br>
Validate tracking via QA, data reconciliation, and anomaly detection to ensure accuracy and completeness.<br>
<ul><li>Improve data foundations in collaboration with Data Engineering:</li></ul>
Contribute to data modeling and transformation workflows (dbt or equivalent).<br>
Help define and maintain semantic layers / metric definitions to ensure consistency.<br>
Monitor data quality and reliability (freshness, completeness, accuracy).<br>
<ul><li>Produce clear, executive-ready narratives and recommendations for technical and non-technical stakeholders.</li></ul><br>
<b>
What Success Looks Like</b></div><ul><div><div>
Teams trust the metrics and dashboards as the source of truth, with consistent definitions and minimal data disputes.</div></div><div><div>
Tracking and instrumentation are reliable, documented, and scalable across product surfaces.</div></div><div><div>
Insights consistently influence prioritization and lead to measurable improvements in activation, retention, conversion, and revenue.</div></div><div><div>
Experimentation becomes faster, more rigorous, and more decision-oriented.</div></div></ul><div><div><b><br>
Required Qualifications</b><br>
<ul><li>5+ years of experience in product analytics / data analytics within a high-scale digital platform (marketplace, SaaS, consumer app, fintech, martech, or similar).</li><li>Expert SQL and strong experience working with large, complex datasets.</li><li>Strong proficiency in analytics and reporting tools (Looker, Power BI, Tableau, Metabase, Superset, or similar).</li><li>Hands-on experience with tracking and data instrumentation:</li></ul>
Event-based analytics, tracking plans, and event taxonomies.<br>
Collaboration with engineers on implementation and QA.<br>
Familiarity with tools like Segment, RudderStack, Snowplow, mParticle, Amplitude, Mixpanel, GA4 (or equivalents).<br>
<ul><li>Solid statistical foundations: experimentation, inference, cohort analysis, and measurement design.</li><li>Strong product sense with the ability to frame ambiguous problems, define metrics, and influence roadmaps with evidence.</li><li>Strong communication and stakeholder management, including leadership-level storytelling.</li></ul>
Preferred Qualifications (Bonus)<br>
<ul><li>Proficiency in Python (or R) for analysis, automation, and advanced modeling.</li><li>Experience with modern data stacks (BigQuery/Snowflake/Redshift, dbt, Airflow/Dagster).</li><li>Experience with AI-related analytics or applied AI use cases, such as:</li></ul>
Building evaluation frameworks for model performance (accuracy, drift, bias, latency).<br>
Experimenting with recommendation/ranking systems, predictive models, or LLM-powered features.<br>
Creating monitoring and reporting for AI features in production.<br>
<ul><li>Familiarity with privacy-aware tracking and consent frameworks (where relevant).</li></ul><br>
<b>
Core Skills &amp; Behaviors</b></div></div><ul><div><div>
High ownership and practical prioritization, with a bias toward action and impact.</div></div><div><div>
Strong analytical rigor and attention to data quality details.</div></div><div><div>
Collaborative partner who can align Product and Engineering on measurement and tracking.</div></div><div><div>
Clear communicator who can simplify complexity and drive decisions.</div></div></ul></div></div></div>
<br><div><div><b>Department</b></div>
<div>Product Management
</div><div><b>Remote status</b></div>
<div>Fully Remote</div></div>

Al Tayer Insignia

<div>
 <br/>
 <br/>
 <strong>
  About Us
  <br/>
  <br/>
 </strong>
 As a leader in luxury retail in the Middle East, Al Tayer Group's retail division, Al Tayer Insignia, hosts a portfolio of some of the world&rsquo;s best luxury brands across fashion, jewellery, home, and department store categories. Complementing its position in luxury retail, Al Tayer Insignia has also built new frontiers in lifestyle retail, representing leading brands in the Beauty, Home, Fashion, and Hospitality sectors.
 <br/>
 <br/>
 Our portfolio includes globally renowned brands such as Bloomingdale&rsquo;s, Harvey Nichols, Armani, and many more.
 <br/>
 <br/>
 <strong>
  Job Purpose
  <br/>
  <br/>
 </strong>
 We are seeking a highly skilled Senior Data Analyst to drive data-driven decision-making within our logistics and e-commerce fulfillment operations.
 <br/>
 <br/>
 This role will focus on budget monitoring, manpower productivity, labor and resource planning, delivery performance, SLA compliance, and predictive analytics to optimize last-mile fulfillment and inventory management.
 <br/>
 <br/>
</div>


Senior Data Analyst – Logistics & E-commerce Fulfillment

Hope Global School

<div><h3 class="jobSectionHeader"><b>Job Description</b></h3>
<div><p>Lead Data Analyst in Banking drives data strategy, builds advanced analytics solutions, ensures regulatory compliance, supports digital transformation, and delivers actionable insights to enhance profitability, risk management, and customer experience.</p>
</div>
<h3 class="jobSectionHeader"><b>Key Responsibilities</b></h3>
<ul><li>Lead banking data analytics and reporting initiatives</li>
<li>Develop predictive models for financial risk analysis</li>
<li>Oversee regulatory reporting and compliance data accuracy</li>
<li>Collaborate with stakeholders on strategic decisions</li>
<li>Manage data warehouses and ETL processes</li>
<li>Ensure data governance and quality standards</li>
<li>Mentor junior analysts and analytics teams</li>
<li>Deliver executive dashboards with actionable insights.</li>
</ul><h3 class="jobSectionHeader"><b>Skill &amp; Experience</b></h3>
<ul><li>Advanced SQL, Python, and analytics expertise</li>
<li>Strong banking domain and regulatory knowledge</li>
<li>Experience with data visualization tools</li>
<li>Expertise in predictive modeling techniques</li>
<li>Excellent leadership and stakeholder communication skills</li>
<li>Proficiency in big data technologies.</li>
</ul>
<p><b>Note:</b> Salary is disbursed in the local currency of the country of employment.</p></div>
<br><div></div><div><ul><li><div><div>Date Posted</div>
<div>February 15, 2026</div>
</div></li><div></div><li><div><div>Location</div>
<div><div>Dubai, UAE
</div></div></div></li><div></div><li><div><div>Offered Salary:</div>
 <div>384000 - 438000 / year</div>
</div></li><div></div><li><div><div>Expiration date</div>
<div>August 21, 2028
</div></div></li><div></div><li><div><div>Experience</div>
<div>2 Year
</div></div></li><div></div><li><div><div>Gender</div>
<div>Both
</div></div></li><div></div><li><div><div>Qualification</div>
<div>Bachelor Degree</div></div></li></ul></div>

Lead Data Analyst – Banking

Emirates NBD

<div>
 <p>
  <strong>
   Organization Unit Purpose
  </strong>
 </p>
 <p>
  Emirates NBD is one of the largest banks in the Middle East, with over USD 6Bn in revenues and 14000 employees globally. As part of its strategic mandate, the bank has recently setup its Advanced Analytics Centre of Excellence for driving ENBD&rsquo;s ambitious advanced analytics agenda across ENBD.
 </p>
 <p>
  <br/>
 </p>
 <p>
  Core objectives of the center include:
 </p>
 <p>
  - Deliver 500-800 Mn AED business impact through a series of use cases/ AA projects executed in collaboration with the BU&rsquo;s
 </p>
 <p>
  - Instill a data driven culture across ENBD by building organization wide capabilities in advanced analytics
 </p>
 <p>
  <br/>
 </p>
 <p>
  The CoE will act as an enabler to the BUs to deploy advanced analytics models to drive smarter decisions across different domains. It will act as a guiding light to BUs to ideate on what&rsquo;s possible with advanced analytics, help them prioritize these ideas, and pilot and productionalize them through cross-functional AA squads.
 </p>
 <p>
  <br/>
 </p>
 <p>
  It will house highly skilled data scientists, data engineers and other digital talent that will be an integral part of cross-functional squads that execute AA projects.
 </p>
 <p>
  <br/>
 </p>
 <p>
  The AA agenda is a high visibility and high priority initiative for ENBD. AA CoE will be governed at ExCo level, including impact tracking, a ringfenced budget &amp; performance management
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Job Purpose
  </strong>
 </p>
 <ul>
  <li>
   The data scientist scopes, designs, and implements machine-learning models to support use case execution with a view of achieving overall objectives and targets
  </li>
  <li>
   The role is highly collaborative and works with product owners, business translator, data warehousing and data engineering teams in creating big data applications through the utilization of structured and unstructured data, designing optimal data architecture, and experimenting on new machine learning techniques
  </li>
  <li>
   The senior data scientist is expected to take charge of end to end delivery of machine learning models including regularly testing and maintain analytical models to improve efficiency and keep up with changing business needs
  </li>
  <li>
   The role supports Translators in communicating the design, functioning and output of the analytical models/solutions developed
  </li>
  <li>
   The senior data scientist additionally plays a mentorship role to others in the team, guiding junior colleagues in execution of their duties, and mentoring them in their professional growth
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Job Content
  </strong>
 </p>
 <p>
  Deliver a strong roadmap of AA projects in collaboration with Business Units
 </p>
 <ul>
  <li>
   Designs and implement machine-learning models to support the business&rsquo;s numerous initiatives and programs with a view of achieving overall objectives and targets
  </li>
 </ul>
 <p>
  <u>
   Artefact documentation
  </u>
 </p>
 <ul>
  <li>
   Successful documentation of reusable code
  </li>
 </ul>
 <p>
  <u>
   Development and learning
  </u>
 </p>
 <ul>
  <li>
   Achieve personal technical development and learning goals
  </li>
 </ul>
 <p>
  <u>
   Collaboration and knowledge share
  </u>
 </p>
 <ul>
  <li>
   Conduct knowledge sharing sessions internally within the CoE as well as externally in meetups, conferences etc
  </li>
  <li>
   Participates in and helps plan cultural initiatives for CoE
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Education
  </strong>
 </p>
 <ul>
  <li>
   University degree
  </li>
  <li>
   Advanced degree (MS/Ph.D) in Computer Applications, Economics, Statistics or Mathematics or related technical discipline with high analytical rigor is desirable
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Experiences
  </strong>
 </p>
 <p>
  6-8 years of experience in a data science role is essential
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Knowledge &amp; Skills
  </strong>
 </p>
 <ul>
  <li>
   Validated experience of defining analytics road map and leading analytics engagements
  </li>
  <li>
   Should have experience in machine learning, statistics, optimization or related fields
  </li>
  <li>
   Experience with programming is a must; specifically experience in R or Python
  </li>
  <li>
   Experience of working with large data sets, simulation/ optimization and distributed computing tools (Map/Reduce, Hadoop, Hive, Spark, etc.) is essential
  </li>
  <li>
   Strong analytical and problem-solving skills
  </li>
  <li>
   Worked in agile environments with multiple stakeholders from the business
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Behavioral Competencies
  </strong>
 </p>
 <ul>
  <li>
   Practical and action oriented
  </li>
  <li>
   Compelling communicator
  </li>
  <li>
   Excellent stakeholder management
  </li>
  <li>
   Foster and promote entrepreneurial spirit and curiosity amongst team members
  </li>
  <li>
   Team player
  </li>
  <li>
   Quick learner
  </li>
 </ul>
 <p>
 </p>
</div>


Senior Data Scientist

The School of Research Science

<p><b>Job Summary</b></p><p>The Academic Analyst is responsible for collecting, analyzing, and interpreting academic data to support informed decision-making and improve student outcomes. The role focuses on performance metrics, curriculum effectiveness, student achievement trends, accreditation requirements, and institutional reporting within a school or university environment.</p><p><b>Key Responsibilities1. Data Collection &amp; Management</b></p><ul><li>Collect and maintain academic data from multiple sources (SIS, LMS, assessment systems, surveys, etc.).</li><li>Ensure data accuracy, integrity, and confidentiality.</li><li>Develop and manage academic dashboards and reporting systems.</li></ul><p><b>2. Academic Performance Analysis</b></p><ul><li>Analyze student performance data (grades, assessments, standardized tests).</li><li>Identify trends, gaps, and areas for improvement.</li><li>Provide comparative analysis across departments, grades, or programs.</li><li>Support early intervention strategies through predictive analysis.</li></ul><p><b>3. Reporting &amp; Insights</b></p><ul><li>Prepare detailed academic reports for senior leadership, principals, deans, and department heads.</li><li>Generate KPI reports (student progress, retention, attendance, graduation rates).</li><li>Support accreditation and inspection data requirements.</li><li>Present findings with actionable recommendations.</li></ul><p><b>4. Strategic Support</b></p><ul><li>Assist in academic planning and curriculum evaluation.</li><li>Support institutional research initiatives.</li><li>Contribute to school improvement plans and strategic objectives.</li><li>Provide data-driven recommendations to enhance teaching effectiveness.</li></ul><p><b>5. Collaboration</b></p><ul><li>Work closely with academic staff, IT department, admissions, and quality assurance teams.</li><li>Train staff on data interpretation and dashboard usage when required.</li></ul><p><b>Qualifications</b></p><ul><li>Bachelor&rsquo;s degree in Data Analytics, Statistics, Education, Business Analytics, or related field.</li><li>Master&rsquo;s degree preferred (especially in Education, Educational Leadership, or Data Science).</li></ul><p><b>Experience</b></p><ul><li>2&ndash;5 years of experience in data analysis.</li><li>Experience in educational institutions (school or university) preferred.</li><li>Familiarity with academic accreditation standards is an advantage.</li></ul><p>Job Type: Full-time</p><p>Ability to commute/relocate:</p><ul><li>Dubai: Reliably commute or planning to relocate before starting work (Required)</li></ul><p>Experience:</p><ul><li>data analyzing: 2 years (Required)</li></ul>

Academic Analyst

Dubai Airports

<div><div><div><div><p>Senior Manager - Commercial Analytics</p>
</div></div></div><div><div><div><p>Commercial</p>
</div></div></div><div><div><p><b>THIS IS WHAT AGILITY FEELS LIKE</b></p>
<p><b>
COMMERCIAL</b></p>
<p><b>
Senior Manager &ndash; Commercial Analyst</b></p>
<p>
Revenue. Reputation. Relationships with 1300 organisations. Our team&rsquo;s task is as challenging as it is complex. They develop the revenue that drives our profitability, funds future development, and improves customer service. From flights to fuel, parking to property leasing, and in-flight meals to landside lattes, they make the best of every revenue stream through fresh service propositions.</p>
<p><b>
What you&rsquo;ll deliver</b></p>
<ul><li>You'll lead the development and execution of comprehensive commercial analysis to support strategic decision-making and business planning. You&rsquo;ll analyze market trends, customer behaviors, and competitive landscape to identify opportunities and risks.</li></ul>
<ul><li>You'll be responsible to design, implement, and manage reporting frameworks to track commercial performance, for all business units within the Commercial Unit, including revenue, profitability, and key business metrics and ensure regular updates are provided to senior management with actionable insights and recommendations</li></ul>
<ul><li>You'll also be responsible to lead and manage strategic projects related to commercial growth, including market entry strategies, pricing analysis, and profitability optimization. You will collaborate with cross-functional teams to drive project execution and ensure alignment with business objectives.</li></ul>
<ul><li>You&rsquo;ll develop and maintain concession forecasting models to predict future commercial performance and inform budgeting processes and analyze variances between forecasted and actual performance and provide insights to support financial planning.</li></ul>
<ul><li>In summary, you will be responsible for leading the commercial analytics function within the organization. This involves analyzing business performance, providing actionable insights, and driving strategic decision-making to enhance commercial outcomes. You will possess strong analytical skills, a deep understanding of commercial operations, and the ability to communicate complex data insights effectively to senior leadership.</li></ul>
<p><b>
What you bring</b></p>
<ul><li>You should be educated to a Bachelor degree level or a field relevant to Business Administration, Data Analytics, Business Strategy, Commercial planning, or related with a minimum of 7-10 years of relevant experience within Commercial or Retail field, ideally in the Aviation, Airport, Travel &amp; Tourism domains. MBA is preferred.</li></ul>
<ul><li>You&rsquo;ll have experience in of delivering actionable insights and driving business performance and proven ability to communicate complex data insights clearly and effectively.</li></ul>
<ul><li>You&rsquo;ll have strong proficiency in data analysis tools and software (e.g., Tableau, Microsoft Power BI, SQL, Alteryx, Snowflake etc.).</li></ul>
<ul><li>You&rsquo;ll have experience in working in a cross-functional large organisation as well as managing and leading teams, with a focus on mentoring and development.</li></ul>
<p><b>
Life at Dubai Airports</b></p>
<p>
Fast-moving and fast-growing, Dubai Airports is a business that&rsquo;s all about delivering great airport experiences, 24 hours a day. Life here means always pushing &ndash; and being pushed &ndash; to work better and smarter. With us, you&rsquo;ll be encouraged to be the best you can be. You&rsquo;ll be part of the team that connects the world. And at every opportunity, you&rsquo;ll go beyond; delivering an advanced, innovative future for yourself and our business, and making an Impact that delivers for Dubai.</p></div></div></div><div></div>

Senior Manager - Commercial Analytics

Explore 1507+ Senior data analyst in Dubai this March. Find roles across top companies and apply now to boost your career.

1507 senior data analyst jobs In Dubai

Senior Data Analyst

Senior Data Analyst

Senior Data Analyst – Logistics & E-commerce Fulfillment

Lead Data Analyst – Banking

Senior Data Scientist

Academic Analyst

Senior Manager - Commercial Analytics