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Salt

<div>
 
 
 **Hiring**
 
 
 
 
 
 
 
 Job Title &ndash; Data Analyst
 
 
 
 
 Salary &ndash; AED 22,500 &ndash; AED 24,000 Per Month (Open to discussing)
 
 
 
 
 Contract Length &ndash; 6 Months with view to extend
 
 
 
 
 Location &ndash; Abu Dhabi
 
 
 
 
 Start Date &ndash; ASAP
 
 
 
 
 Interview Stages &ndash; 2
 
 
 
 
 
 
 Senior Data Analyst (Enterprise Analytics &amp; Integration)- (Analysts with credible Architecture experience)
 
 
 
 
 
 Project Info
 
 <ul>
 <li>
 Because of the impact, they have had to pause, but they need Live Feed Integration, whilst some areas in operations are down.
 </li>
 <li>
 Live Feed Integration project - Connecting Data Sources and Feeder systems into one foundational data warehouse.
 </li>
 <li>
 Both roles reporting into Head of Data &amp; Ai.
 </li>
 </ul>
 
 
 
 
 
 
 
 
 Outcomes expected within 6 months
 
 
 <ul>
 <li>
 Support establishment of the enterprise data platform foundations &mdash; target architecture, governed data layers/canonical datasets, integration patterns, and standards for documentation and handover into BAU.
 </li>
 <li>
 Lead data modelling across ERP and non-ERP sources, defining reusable canonical datasets and integration patterns.
 </li>
 <li>
 Own end-to-end delivery of priority enterprise analytics use cases (e.g., productivity, profitability, optimization) from data sourcing to exec-ready insights.
 </li>
 <li>
 Define and enforce data quality rules, reconciliation logic and documentation standards.
 </li>
 <li>
 Guide junior analysts, review deliverables and act as first escalation point.
 </li>
 <li>
 Translate business questions into analytical models and decision-ready insights for leadership forums.
 </li>
 <li>
 Support handover into BAU, including documentation and knowledge transfer.
 </li>
 </ul>
 
 
 
 
 
 Non-negotiable skills
 
 
 <ul>
 <li>
 Advanced Power BI (complex models, scenario analysis).
 </li>
 <li>
 Strong understanding of enterprise finance data (GL/cost centres/allocations) and how it reconciles to operational drivers.
 </li>
 <li>
 Proven experience delivering cross-domain models (finance + ops) and governance-ready reporting.
 </li>
 <li>
 Strong stakeholder engagement across Finance, Operations, IT and vendors.
 </li>
 <li>
 Able to operate with ambiguity and shape the approach (not only execute tasks).
 </li>
 <li>
 Aviation industry experience would be a plus &ndash; not essential
 </li>
 <li>
 Proven experience setting up or operating within a governed data environment (data ownership, lineage, quality rules, access controls, retention/auditability)
 </li>
 </ul>
 
 
 
 
 Thanks,
 
 
 Ollie
 
 
 
</div>

Senior Data Analyst

<div>
 
 *Required Skills:*
 
 
 
 
 
 1. Data analysis and interpretation
 
 
 2. HR knowledge (e.g., metrics, trends)
 
 
 3. Statistical tools (e.g., Excel, R, Python)
 
 
 4. Data visualization (e.g., Tableau, Power BI)
 
 
 5. Communication and presentation skills
 
 
 6.SAP tool experience
 
 
 7.Minimum of 8 years of experience
 
 
 8.Handling escalation
 
 
 9.Troubleshooting
 
 
 10. helping on the payroll side
 
 
 
</div>

HTC Global Services

<div>
 
 Exciting Opportunity Alert! 🌟 HTC Global Services is hiring Senior Data Integration Analyst for an 1-year extendable contract in Abu Dhabi, UAE (Onsite).
 
 
 
 
 
 HTC Global Services - a leading CMM level 5 global provider of innovative IT and Business Process Services and Solutions since 1990 with headquarters in Troy, Michigan, USA.
 
 
 
 
 
 
 Project Overview
 
 
 
 We are working on building a Customer 360 platform for an airline client, aimed at creating a unified view of customer data across multiple systems. This platform will support various business use cases including customer insights, personalization, and data-driven decision-making.
 
 
 
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Elicit, analyse, and document business and technical requirements across multiple workstreams
 </li>
 <li>
 Collaborate with stakeholders to understand and define requirements for a Customer 360 data platform
 </li>
 <li>
 Analyse data flows, data feeds, and integration points across ~40+ source systems
 </li>
 <li>
 Work closely with technical teams, data engineers, and vendors to validate solutions
 </li>
 <li>
 Define and document data models, schemas, and data structures
 </li>
 <li>
 Ensure proper data governance, data lineage, and data quality checks are in place
 </li>
 <li>
 Support data integration and stitching of customer data from multiple platforms
 </li>
 <li>
 Produce clear documentation including process flows, user stories, and acceptance criteria
 </li>
 <li>
 Facilitate Agile ceremonies and work closely with delivery teams
 </li>
 </ul>
 
 
 
 
 
 Essential Skills &amp; Experience
 
 
 <ul>
 <li>
 Proven experience in data-driven or data migration programs
 </li>
 <li>
 Strong understanding of data analysis concepts including:
 </li>
 <li>
 Data modelling &amp; schemas
 </li>
 <li>
 Data lineage &amp; governance
 </li>
 <li>
 Data quality and validation
 </li>
 <li>
 Data integration &amp; servicing
 </li>
 <li>
 Ability to interpret data feeds, schemas, and integration specifications
 </li>
 <li>
 Hands-on experience working with data platforms / data ecosystems, such as: Data Lake / ADLS or Databricks or AWS (Redshift, S3, etc.) or Google BigQuery
 </li>
 <li>
 Experience working on data warehouse or Customer 360 implementations
 </li>
 <li>
 Strong ability to communicate with both technical and business stakeholders
 </li>
 <li>
 Agile/Scrum delivery experience
 </li>
 <li>
 Excellent written and verbal communication skills
 </li>
 </ul>
 
 
 
 
 
 Nice to Have
 
 
 <ul>
 <li>
 Experience in Airline / Travel domain
 </li>
 <li>
 Exposure to CRM, customer communication, or marketing platforms
 </li>
 <li>
 Experience with Adobe Journey Optimizer or Amadeus
 </li>
 </ul>
 
 
 
 
 Interested candidates please do share your updated CV to mubeenakamal.basha@htcinc.com mentioning your Current CTC, expected CTC and notice period details.
 
 
 
 
 
 #HTCGlobalServices #ITJobs #hiring #lookingforjob #careers #jobs #immediatejoiner #recruitment #technology #jobseekers #interview #lookingforjobchange #newjob #dataanalyst #Datamodelling #schema #datamigration #datagovernance #dataintegration
 
</div>

Senior Data Integration Analyst

Almosafer

<div>
 
 
 About the Company:
 
 
 
 At Almosafer Travel &amp; Tourism Co,
 
 
 we&rsquo;re not just part of the travel industry, we&rsquo;re helping shape its future.
 
 
 As Saudi Arabia&rsquo;s leading travel company, we serve millions across every segment of the travel and tourism ecosystem.
 
 
 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.
 
 
 
 
 
 We&rsquo;re united by a bold vision:
 
 
 To be the undisputed leader in travel services, fostering lasting connections and setting new benchmarks for excellence in the Kingdom and beyond.
 
 
 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.
 
 
 
 
 
 
 About the Role:
 
 
 
 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.
 
 
 
 
 
 
 Responsibilities:
 
 
 
 
 Acquisition &amp; Digital Marketing Analytics:
 
 
 <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>
 
 
 CRM &amp; Retention Analytics:
 
 
 <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>
 
 
 Advanced Modelling &amp; Data Solutions:
 
 
 <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>
 
 
 BI Reporting &amp; Data Storytelling:
 
 
 <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>
 
 
 Collaboration &amp; Governance:
 
 
 <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>
 
 
 
 
 
 Profile Requirements:
 
 
 <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>
 
 
 
 
 
 Being you @ Almosafer:
 
 
 
 At Almosafer, our teams work with purpose, clarity, and a shared commitment to doing things the right way. 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.
 
 
 
 
 
 Here, you will find:
 
 
 A purpose-led workplace where your ideas can create real impact
 
 
 Ongoing learning and development to help you grow with intention
 
 
 Recognition that celebrates your wins, both big and small
 
 
 A community built on trust, curiosity, and shared momentum
 
 
 
 
 
 No matter where your journey started, at Almosafer, you will find space to grow, connect, and contribute meaningfully.
 
</div>

Senior Specialist - Data Intelligence

GEMS Education

<div>
 
 Job Description
 
 
 
 GEMS Cambridge International School, Abu Dhabi is seeking a detail-oriented and tech-savvy professional to join our team as an
 
 Examinations Officer &amp; Academic Data Analyst
 
 for a
 
 May 2026
 
 start. This dual-role position supports both internal school improvement through data analysis and the administration of external assessments.
 
 
 
 Examinations Officer &ndash; Key Responsibilities
 
 
 
 <ul>
 <li>
 Oversee all external examinations (Cambridge, Edexcel, AQA, Oxford), ensuring full compliance with board requirements.
 </li>
 <li>
 Manage candidate registration, entry submissions, forecast grades, amendments, and withdrawals via online portals.
 </li>
 <li>
 Provide students with Statements of Entry, candidate IDs, and exam-related materials (digital and hard copies).
 </li>
 <li>
 Liaise with exam boards and represent the school at official meetings.
 </li>
 <li>
 Prepare detailed examination timetables for students, staff, and parents.
 </li>
 <li>
 Receive, check, and securely store confidential exam materials.
 </li>
 <li>
 Coordinate internal assessments and ensure proper administration of all exams.
 </li>
 <li>
 Access and distribute electronic results; handle post-results services and issue final certificates.
 </li>
 <li>
 Stay updated on annual exam board changes and implement them effectively.
 </li>
 <li>
 Draft and issue official letters (course completion, visa support, etc.) in response to student requests.
 </li>
 <li>
 Respond calmly and efficiently to any unforeseen issues during examination sessions.
 </li>
 <li>
 Coordinate with internal teams (teachers, Heads of Departments, IT, reception) for smooth exam operations.
 
 
 </li>
 </ul>
 
 Academic Data &amp; Assessment Coordinator
 
 
 
 <ul>
 <li>
 Collect, manage, and analyze student achievement data to support school improvement and instructional planning.
 </li>
 <li>
 Generate reports from internal, national, and international assessments to identify trends and monitor progress.
 </li>
 <li>
 Maintain accurate data systems (SIMS/Phoenix), ensuring data integrity and security.
 </li>
 <li>
 Support teachers and leaders in interpreting assessment data; lead data literacy sessions and training.
 </li>
 <li>
 Design and produce clear, user-friendly data reports for staff.
 </li>
 <li>
 Input and transfer data accurately between assessment platforms.
 
 
 </li>
 </ul>
 
 Skills
 
 
 
 
 Required Qualifications, Experience &amp; Skills:
 
 
 
 <ul>
 <li>
 Degree in IT/Computer Science (B.E., MCA, M.Sc. preferred).
 </li>
 <li>
 Prior school experience in a British curriculum school is mandatory.
 </li>
 <li>
 Strong analytical and statistical skills; attention to detail.
 </li>
 <li>
 Proficiency in Microsoft Office; experience with SIMS/Phoenix is a plus.
 </li>
 <li>
 Excellent communication, organization, and time management skills.
 </li>
 <li>
 Able to work under pressure, especially during exam periods.
 </li>
 <li>
 Team player with a service-oriented attitude and willingness to learn.
 
 
 </li>
 </ul>
 
 GEMS Education is committed to safeguarding and promoting the welfare of all of its students and staff. A UK-enhanced DBS or equivalent police check is a pre-requisite for all appointments.
 
</div>

Examinations Officer/Data Analyst (May 2026 Start)

Hays

<div>
 
 
 Senior Data Scientist
 
 
 
 
 Financial Services
 
 
 
 
 Dubai, United Arab Emirates
 
 
 
 
 Permanent position
 
 
 
 
 
 
 We are looking for a Senior Data Scientist to join an investment team to help advance the next stage of growth for of tech‑driven wealth management firm.
 
 
 
 
 
 This role sits at the intersection of quant finance, AI and engineering. You will work directly quant analysts and researchers, to build models, tools, and insights that enhance investment decisions across multi‑asset portfolios.
 
 
 
 
 
 
 Asset class
 
 
 
 Experience working with multi‑asset datasets: equities, FX/currencies, rates, credit, commodities, derivatives.
 
 
 
 
 
 
 Experience needed
 
 
 <ul>
 <li>
 Python expertise
 </li>
 <li>
 ML proficiency
 </li>
 <li>
 Develop and maintain quantitative models for asset allocation
 </li>
 <li>
 Design and deploy LLM‑powered tools
 </li>
 <li>
 Familiarity with portfolio construction frameworks and allocation strategies
 </li>
 <li>
 Deep understanding of quantitative finance and financial datasets
 </li>
 <li>
 Implement AI models for quant research and investment workflows
 </li>
 <li>
 Previous QR/QA/SDS industry role within wealth management, managers, funds, or investment banks
 </li>
 </ul>
 
 
 
 
 
 Education
 
 
 <ul>
 <li>
 PhD in Com Sci or relevant STEM
 </li>
 </ul>
 
 
 
 
 Salary, bonus, family visa, family medical, flight &amp; relocation assistance available for successful overseas applicants.
 
 
 
 
 
 **Due to the high number of applicants, only applicants with the above skillset will be contacted**
 
</div>

Senior Data Scientist

ALDAR

<div>
 
 Job Purpose
 
 
 
 As a Senior Associate &ndash; Data Scientist, you will design, build, and productionize advanced analytics and AI solutions that drive measurable business value. You will work closely with Data Product Owners, Data Analysts, BI Developers, and Data Quality Specialists to translate complex business challenges into data-driven models and experiments. Leveraging Python, SQL, and modern ML frameworks, you will develop scalable machine learning solutions that are explainable, governed, and aligned with organizational priorities.
 
 
 
 Roles And Responsibilities
 
 
 
 Translate business problems into data science projects by defining clear hypotheses, success metrics, and validation methods.
 
 
 Explore, clean, and transform structured and unstructured data using Python and SQL to prepare high-quality datasets for modeling.
 
 
 Design, train, and evaluate machine learning models using appropriate algorithms and statistical techniques (e.g., regression, classification, clustering, NLP, forecasting).
 
 
 Collaborate with engineering and platform teams to productionize AI models through reproducible pipelines and CI/CD workflows.
 
 
 Apply model explainability, fairness, and interpretability techniques (e.g., SHAP, LIME, feature importance) to ensure transparency and accountability.
 
 
 Support AI governance activities, including Model Risk Management (MRM) processes, ensuring compliance and responsible use of AI.
 
 
 Conduct and analyze A/B tests or controlled experiments to assess model and feature performance.
 
 
 Work with Data Product Owners to define business outcomes, monitor model performance post-deployment, and ensure continued relevance.
 
 
 Collaborate with Data Quality Specialists to ensure input data meets quality, lineage, and governance standards.
 
 
 Communicate results effectively through visualizations, storytelling, and presentations tailored to technical and non-technical audiences.
 
 
 
 Related Years Of Experience
 
 
 
 5+ years of experience in data science, applied machine learning, or advanced analytics.
 
 
 Proven experience delivering models that have been deployed and integrated into business processes or digital products.
 
 
 Experience working in agile, cross-functional teams with Product Owners, Data Analysts, and Data Engineers.
 
 
 
 Technical And Interpersonal Skills
 
 
 
 Advanced proficiency in Python (pandas, NumPy, scikit-learn, XGBoost, LightGBM).
 
 
 Strong command of SQL for data extraction, transformation, and validation.
 
 
 Experience working in Databricks or equivalent data and ML platforms.
 
 
 Familiarity with deep learning frameworks (PyTorch, TensorFlow) and ML lifecycle tools (MLflow, Airflow, Docker, Kubernetes).
 
 
 Understanding of model explainability, ethics, fairness, and governance.
 
 
 Knowledge of AI governance processes and documentation standards, including Model Risk Management (MRM).
 
 
 Exposure to cloud platforms (Azure, Snowflake) and APIs for integrating AI models into applications.
 
 
 Familiarity with version control (Git/GitHub) and collaborative coding practices.
 
 
 Excellent communication skills to explain technical findings in clear business terms.
 
 
 Collaborative and curious, with a passion for continuous learning and innovation
 
 
 
 QUALIFICATION
 
 
 
 Bachelor&rsquo;s degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related quantitative field.
 
 
 Master&rsquo;s degree or higher in Data Science, Machine Learning, or Applied Statistics is an advantage.
 
 
 We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
</div>

Senior Associate – Data Scientist

Explore 1696+ Senior data analyst in United Arab Emirates this May. Find roles across top companies and apply now to boost your career.

1696 senior data analyst jobs In United Arab Emirates

Senior Data Analyst

Senior Data Analyst

Senior Data Integration Analyst

Senior Specialist - Data Intelligence

Examinations Officer/Data Analyst (May 2026 Start)

Senior Data Scientist

Senior Associate – Data Scientist