business analyst

data analyst

data analyst with ba

data scientist

senior data scientist

senior data mining analyst

Almosafer

<div>
 <p>
  <strong>
   About the company:
  </strong>
 </p>
 <p>
  At Almosafer (part of Seera Group), we&rsquo;re not just part of the travel industry, we&rsquo;re helping shape its future.
 </p>
 <p>
  <br/>
 </p>
 <p>
  As Saudi Arabia&rsquo;s leading travel company, we serve millions across every segment of the travel and tourism ecosystem.
 </p>
 <p>
  Rooted in our name &ldquo;Almosafer,&rdquo; meaning the traveler, we strive to make every journey seamless, personal, and purposeful. Our diverse platforms and services are built to deliver enriching experiences that reflect the spirit of Saudi Arabia and the wider region.
 </p>
 <p>
  We&rsquo;re united by a bold vision:
 </p>
 <p>
  To be the undisputed leader in travel services, fostering lasting connections and setting new benchmarks for excellence in the Kingdom and beyond.
 </p>
 <p>
  Our team across Saudi Arabia and the wider region blends deep cultural understanding with forward-thinking innovation, shaping a new standard for travel in the region.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   About the Role:
  </strong>
 </p>
 <p>
  We are seeking a Senior Data Analyst to join Almosafer&rsquo;s Data Intelligence team, embedded within the Marketing and CRM function, to power acquisition and retention strategies with data. You will partner closely with digital marketing (brand and performance), CRM, and loyalty teams to optimize spend, increase retention, and maximize customer lifetime value, while ensuring analytics follow Data Intelligence standards and governance. The ideal candidate will have 5+ years of analytical experience in e-commerce or travel, strong expertise in digital marketing and CRM analytics, and hands-on experience with BI tools for delivering insights at scale. Knowledge of machine learning and rule-based models is a strong advantage.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Responsibilities:
  </strong>
 </p>
 <p>
  Acquisition &amp; Digital Marketing Analytics:
 </p>
 <ul>
  <li>
   Act as the primary data partner for digital marketing channels (paid search, paid social, display, programmatic) and organic channels (SEO, referral, content).
  </li>
  <li>
   Build and maintain attribution models to evaluate channel effectiveness and optimize spend.
  </li>
  <li>
   Develop targeting strategies and audience segments for prospecting and retargeting campaigns.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  CRM &amp; Retention Analytics:
 </p>
 <ul>
  <li>
   Analyze customer behavior, repeat booking patterns, churn risk, and loyalty program engagement.
  </li>
  <li>
   Build retention and churn prediction models to improve CRM targeting.
  </li>
  <li>
   Measure and optimize CRM campaigns (email, push, in-app, SMS) for engagement and conversion.
  </li>
  <li>
   Partner with CRM managers to design and analyze A/B tests for lifecycle marketing.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  Advanced Modelling &amp; Data Solutions:
 </p>
 <ul>
  <li>
   Design and deploy ML and rule-based models for bid optimization, lifetime value prediction, and personalized offers.
  </li>
  <li>
   Ensure marketing and CRM datasets are high-quality and aligned with DI governance.
  </li>
  <li>
   Work with Marketing Automation teams to integrate model outputs into execution tools (Moengage, Salesforce Marketing Cloud, etc.).
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  BI Reporting &amp; Data Storytelling:
 </p>
 <ul>
  <li>
   Build self-service dashboards in Tableau, Power BI, Looker, or similar to monitor acquisition, retention, and ROI metrics.
  </li>
  <li>
   Translate data into clear, actionable insights for marketing and CRM leadership.
  </li>
  <li>
   Monitor and report on KPIs such as CAC, ROAS, CLV, retention rates, and campaign ROI.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  Collaboration &amp; Governance:
 </p>
 <ul>
  <li>
   Act as a bridge between Marketing/CRM and the central Data Intelligence function, ensuring consistent definitions and methodologies.
  </li>
  <li>
   Share analytical best practices with other embedded analysts across functions.
  </li>
  <li>
   Promote data literacy within marketing and CRM teams.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Profile Requirements:
  </strong>
 </p>
 <ul>
  <li>
   Bachelor&rsquo;s or Master&rsquo;s degree in STEM, Business Analytics, or related field.
  </li>
  <li>
   5+ years of experience as a Data Analyst, preferably in e-commerce, online travel, or digital-first businesses.
  </li>
  <li>
   Proficiency in SQL, Python or R, and advanced Excel.
  </li>
  <li>
   Strong experience in digital marketing analytics platforms (Google Analytics, Google Ads, Facebook Ads Manager, DV360) and CRM analytics.
  </li>
  <li>
   Hands-on experience with BI tools such as Tableau, Power BI, Looker, or similar for dashboard development and storytelling.
  </li>
  <li>
   Strong knowledge of customer lifecycle metrics (CAC, CLV, churn rate, retention cohorts).
  </li>
  <li>
   Excellent stakeholder management and communication skills; English fluency (Arabic preferred).
  </li>
  <li>
   Experience building and deploying machine learning models for acquisition and retention.
  </li>
  <li>
   Knowledge of rule-based targeting and marketing automation tools (Moengage, Salesforce Marketing Cloud, Adobe Campaign).
  </li>
  <li>
   Familiarity with big data warehouses (Google BigQuery, AWS Redshift, Snowflake).
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Being you @ Almosafer:
  </strong>
 </p>
 <p>
  At Almosafer, our teams work with purpose, clarity, and a shared commitment to doing things the right way.
 </p>
 <p>
  Whether you're building platforms, supporting travelers, or shaping strategy, your work connects to something bigger. Across functions and locations, we value accountability, trust, and collaboration - and we create the structure and space for you to contribute meaningfully from day one.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Here, you will find:
  </strong>
 </p>
 <p>
  A purpose-led workplace where your ideas can create real impact
 </p>
 <p>
  Ongoing learning and development to help you grow with intention
 </p>
 <p>
  Recognition that celebrates your wins, both big and small
 </p>
 <p>
  A community built on trust, curiosity, and shared momentum
 </p>
 <p>
  <br/>
 </p>
 <p>
  No matter where your journey started, at Almosafer, you will find space to grow, connect, and contribute meaningfully.
 </p>
</div>


Senior Specialist - Data Intelligence

edari

<div>
 <p>
  We are currently seeking a
  <strong>
   Senior
  </strong>
  <strong>
   AI/ML Data Scientist
  </strong>
  who will be responsible for designing, developing, and productionizing AI/ML models that deliver measurable business impact. The ideal candidate will own the full lifecycle from framing business problems and shaping datasets to model training, deployment with MLOps best practices, and post-launch monitoring. The role ensures models are accurate, reliable, and aligned with business objectives, while translating complex business requirements into actionable AI solutions and promoting transparency across key processes and performance indicators.
 </p>
 <p>
  <br/>
 </p>
 <p>
  Our client based in
  <strong>
   Dubai
  </strong>
  , is one of the largest semi-government organisations in the region. This position is a contract role with an initial duration of
  <strong>
   15 months
  </strong>
  and is
  <strong>
   renewable.
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Key Responsibilities:
  </strong>
 </p>
 <ul>
  <li>
   Design, train, validate, and deploy advanced ML/DL models (NLP, CV, transformers, statistical learning).
  </li>
  <li>
   Optimize models for accuracy, scalability, and latency to ensure production readiness.
  </li>
  <li>
   Apply responsible AI principles, including fairness, bias detection, and explainability.
  </li>
  <li>
   Build and manage pipelines, feature stores, and ingestion frameworks (real-time and batch).
  </li>
  <li>
   Implement MLOps practices: CI/CD workflows, registries, automated retraining, and observability.
  </li>
  <li>
   Monitor and resolve issues related to data drift, leakage, and model reliability.
  </li>
  <li>
   Ensure compliance with GDPR, ISO standards, ICAO digital/AI frameworks, and organizational policies.
  </li>
  <li>
   Promote transparency of AI-driven KPIs and processes across the enterprise.
  </li>
  <li>
   Conduct fairness audits, model explainability, and ethical risk assessments.
  </li>
  <li>
   Translate complex, ambiguous business challenges into AI/ML opportunities.
  </li>
  <li>
   Define scope, feasibility, and expected value of AI initiatives.
  </li>
  <li>
   Advise stakeholders on risks, trade-offs, and adoption strategies.
  </li>
  <li>
   Deliver insights, dashboards, and validation reports to senior management and cross-functional teams.
  </li>
  <li>
   Influence adoption of AI solutions using expert authority and evidence-based recommendations.
  </li>
  <li>
   Act as a subject matter expert, supporting enterprise-wide AI strategy and operational decisions.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Knowledge, skills &amp; experience:
  </strong>
 </p>
 <ul>
  <li>
   Professional certification in Machine Learning (preferred).
  </li>
  <li>
   Bachelor's degree in Computer Science, Mathematics, Statistics, Data Science, or related
  </li>
  <li>
   Proven experience applying AI/ML solutions in real-world domains.
  </li>
  <li>
   Strong track record in translating business challenges into AI/ML opportunities with measurable business impact.
  </li>
  <li>
   Expertise in deep learning and statistical methods, with hands-on model development and production deployment.
  </li>
  <li>
   Familiarity with responsible AI principles and their application in regulated industries.
  </li>
  <li>
   Programming &amp; Data Science: Python, R, SQL, StreamLit
  </li>
  <li>
   ML &amp; AI Frameworks: TensorFlow, PyTorch, Keras, scikit-learn, Hugging Face
  </li>
  <li>
   MLOps &amp; Deployment: Docker, Kubernetes, Git CI/CD
  </li>
  <li>
   Data Engineering: Apache Spark, Kafka, dbt
  </li>
  <li>
   Cloud Platforms: Azure ML
  </li>
  <li>
   Visualization: Power BI, Tableau
  </li>
  <li>
   Responsible AI Tools: AI Governance Platform (e.g. Atlan)
  </li>
 </ul>
</div>


Senior AI/ML Data Scientist

Tap Growth ai

<div>
 <strong>
  🌟 We're Hiring: Senior Data Scientist - Machine Learning! 🌟
  <br/>
  <br/>
 </strong>
 The role is responsible for designing, developing, and productionizing AI/ML models that deliver measurable business impact. It owns the full lifecycle from framing business problems and shaping data sets to model training, deployment with MLOps best practices, and post- launch monitoring. The role ensures models are accurate, reliable, and aligned with business objectives, while translating complex business requirements into actionable AI solutions and promoting transparency across key processes and performance indicators.
 <br/>
 <br/>
 <strong>
  📍 Location:
 </strong>
 Dubai, United Arab Emirates
 <br/>
 <br/>
 <strong>
  ⏰ Work Mode:
 </strong>
 Work From Office
 <br/>
 <br/>
 <strong>
  💼 Role:
 </strong>
 Senior Data Scientist - Machine Learning
 <br/>
 <br/>
 Experience - 3 to 10 years
 <br/>
 <br/>
 Salary - 20000 AED to 22000 AED + Benefits
 <br/>
 <br/>
 <strong>
  Core Activities Experience
  <br/>
  <br/>
 </strong>
 Proven experience applying AI/ML solutions in real-world domains such as aviation, transportation, or enterprise operations. Strong track record in translating business challenges into AI/ML opportunities with measurable business impact.
 <br/>
 <br/>
 Expertise in deep learning and statistical methods, with hands- on model development and production deployment. Familiarity with Responsible AI principles and their application in regulated industries
 <em>
  .
  <br/>
  <br/>
 </em>
 <ul>
  <li>
   Machine Learning Model Development &amp; Deployment
  </li>
  <li>
   Data Engineering &amp; MLOps
  </li>
  <li>
   Governance, Compliance &amp; Responsible AI
  </li>
  <li>
   Problem Framing &amp; Business Alignment
  </li>
  <li>
   Stakeholder Engagement &amp; Decision Support
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Skills,Tools ,and Systems Experience
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Programming &amp; Data Science: Python, R, SQL, Stream Lit
  </li>
  <li>
   ML&amp;AI Frameworks: Tensor Flow, PyTorch, Keras, scikit-learn, Hugging Face MLOps &amp;Deployment: Docker, Kubernetes, GitCI /CD
  </li>
  <li>
   Data Engineering: Apache Spark, Kafka, dbt
  </li>
  <li>
   Cloud Platforms : Azure ML
  </li>
  <li>
   Visualization : Power BI, Tableau Responsible AI Tools AI Governance Platform(e.g. Atlan)
   <br/>
   <br/>
  </li>
 </ul>
 Ready to make an impact? 🚀 Apply now and let's innovate together!
</div>


Senior Data Scientist - Machine Learning

Ceenex Global LLC

Commercial Bank of Dubai

<div><div><div><div><div>Description</div>
<div><div>Operating in the UAE for over 50 years, CBD manages the financial requirements of some of the largest corporates and businesses operating in the country, driving the UAE economy. Over the years, CBD has transformed into a progressive and modern banking institution winning multiple awards for its digital initiatives, credit cards, bank accounts, mobile app features and services.</div><div></div><div><br>
CBD has been recognized as the number one bank in the UAE on the Forbes list of The World&rsquo;s Best Banks 2022.</div><div></div><div><br>
As we continue to build upon our successes, we are looking for ambitious individuals who are passionate about the banking and finance industry and the markets in which CBD operates. Just as important to us is your ability to demonstrate a talent for dealing with people - your colleagues and our customers - and delivering service that really goes the extra mile.</div><div></div><div><br>
You will report to the Head of FCC and will work with Compliance and IT to develop data analytics capability and actionable insights for the function. Translating regulatory reporting requirements into highly accurate data models and set strategy for how we ensure the best possible data accuracy.</div><div></div><div><b><br>
Responsibilities:
</b></div><ul><li>Develop and leverage innovative data analytics methodology and algorithms to reduce false positive rates.</li><li>
Drive actionable insights through data analytics to identify new and emerging financial crime patterns to pro-active develop detection/prevention scenarios in transaction monitoring system.</li><li>
Extract, validate, transform, and load data from multiple sources and data warehouse, big data platform and other data sources available in the bank to provide efficient and effective analytics for the Financial Crime Compliance department.</li><li>
Undertake periodic assessment on AML/CFT typologies and scenarios configured in the transaction monitoring system</li><li>
Support maintain and assist in enhancing the exiting systems and controls owned by the team.</li><li>
Pro-actively manage data quality issues as they are arisen.</li><li>
Responsible for developing and delivering insightful dashboards for Financial Crime team by incorporating key performance measures and indicators that drive bank&rsquo;s performance measurements across products, segments and channels and abreast senior leadership on a regular basis on the health of the business and any early waning indicators.</li><li>
Transform the analytic insights into understandable and actionable recommendations and then communicate them effectively across the organization.</li><li>
Using appropriate Machine Learning algorithms and techniques develop advanced analytics and predictive analytics solutions
</li><li>Manage consolidation, collection, and reporting of KPIs pertaining to Compliance and Risk functions.</li></ul></div><br>
<div></div>
</div></div><div><div><div>Requirements</div><br>
<div></div><div><br>
<div><b>Qualifications</b></div><ul><li>
Bachelor&rsquo;s degree in Computer science / Statistics/ Mathematics from a reputed university.
</li><li>Understanding and proficiency in Analytics and BI tools like &ndash; SAS, SQL, Power BI etc.
</li><li>Strong communication and interpersonal skills</li></ul><div></div><div><b><br>
Experience</b></div><ul><li>
At least 10+ years of experience in the banking/financial services sector including, typologies, systems and data analytics</li></ul><div></div><div><b><br>
Skills</b></div><ul><li>
Experience and an understanding of a wide variety of analytical techniques including machine learning techniques.
</li><li>Ability to clearly present data-rich insights to senior management using appropriate graphics and business language, so that key messages can be actioned.
</li><li>Strong commercial acumen and ability to distil complex analysis and turn into easily understandable, business-oriented insights.
</li><li>Ability to visualize and develop graphical presentations for decision support.</li><li>
Excellent written and verbal communication skills.
</li><li>Ability to build and motivate a team to achieve well communicated expectations.</li><li>
Strong negotiating and consensus building abilities</li></ul></div></div></div></div></div><p></p>

Senior Manager, Financial Crime Data Analytics

Azadea Group

<div>
 <p>
  We are looking for a Senior Commercial Data Analyst to join our regional retail team!
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   JOB PURPOSE
  </strong>
 </p>
 <p>
  The Data Analyst is responsible for collecting and storing data on sales, customer data, market research, logistics, linguistics, or other behaviors. He/she brings technical expertise to ensure the quality and accuracy of that data, then processes, designs, and presents it in ways to help people, businesses, and the organization make better decisions.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   RESPONSIBILITIES
  </strong>
 </p>
 <ul>
  <li>
   Generate and automate reports across departments like marketing, customer experience, trading, last mile, and finance.
  </li>
  <li>
   Collaborate closely with the media and merchandising teams to suggest modifications and optimizations.
  </li>
  <li>
   Create organized reports for daily, weekly, and monthly analysis for the wider team.
  </li>
  <li>
   Identify and solve data problems and inconsistencies.
  </li>
  <li>
   Clean and formulate data for report template population.
  </li>
  <li>
   Provide technical expertise in data storage structures, data mining, and data cleansing.
  </li>
  <li>
   Troubleshoot the reporting database environment and reports.
  </li>
  <li>
   Develop and implement data analyses, data collection systems, and other strategies that optimize statistical efficiency and quality.
  </li>
  <li>
   Document key metrics and additional performance indicators to aid in analysis and optimization.
  </li>
  <li>
   Gather data from primary or secondary data sources and maintain databases.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Qualifications:
  </strong>
 </p>
 <ul>
  <li>
   Bachelor&rsquo;s degree in Business Administration, or Computer Sciences, or a related field.
  </li>
  <li>
   Two to four years of experience in analytics, or a similar role.
  </li>
  <li>
   Strong knowledge of SQL, Power BI, Qlik, Advance Excel and working knowledge of Google Analytics or Facebook BM.
  </li>
  <li>
   Fluency in English.
  </li>
  <li>
   Proficiency in MS Office.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Azadea Group is an Equal Employment Employer &ndash;
  </strong>
  <em>
   All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or any other characteristic protected by relevant local laws.
  </em>
 </p>
 <p>
 </p>
</div>


Senior Commercial Data Analyst

Explore 2704+ Senior data mining analyst in Dubai this September. Find roles across top companies and apply now to boost your career.

2704 senior data mining analyst jobs IN Dubai

Senior Specialist - Data Intelligence

Senior Specialist - Data Intelligence

Senior AI/ML Data Scientist

Senior Data Scientist - Machine Learning

Senior Data Scientist - Machine Learning

Senior Manager, Financial Crime Data Analytics

Senior Commercial Data Analyst