226 Data Analytics jobs in Dubai

Locally available candidates only apply for this job; Jobseekers from any GCC country

• Data Analysis
  
  • Collect and analyze structured and unstructured data from various sources (e.g., CRM, ERP, databases).
  • Develop dashboards, KPIs, and reports using tools like Power BI, Tableau, or Excel.
  • Interpret data trends and patterns to support business decisions and improve operational efficiency.
  • Translate business problems into data-driven solutions.
  • Provide actionable insights and strategic recommendations to clients.
  • Work with clients to understand data needs and deliver appropriate analysis.
  • Ensure data accuracy, integrity, and consistency across reporting tools.
  • Maintain documentation and metadata related to data sources, definitions, and logic.
  • Collaborate with data architects and Data Engineers to align data pipelines and data modeling for overall data solutions.
  • Participate in cross-functional projects including readiness assessment, data gathering, KPI definition, and interaction with clients during data projects.
  • Act as a liaison between business and technical teams to define requirements and validate data deliverables.
  • Understand statistical methods and models (e.g., regression, forecasting) to predict trends and behavior.
  • Support data science or AI/ML projects with exploratory data analysis and feature engineering.
  
  
• Required Skills & Competencies:
  
  • Analytical Thinking: Strong problem-solving skills and ability to interpret complex datasets.
  • Business Acumen: Understanding of industry-specific processes, KPIs, and challenges.
  • Data Tools: Proficient in Excel, SQL, and BI tools like Power BI, Tableau, or Qlik.
  • Communication: Able to communicate technical findings to non-technical stakeholders.
  • Project Management: Time management and task prioritization skills; familiarity with Agile/Scrum is a plus.
  
  
• Technical Skills (Preferred):
  
  • SQL (Intermediate to Advanced)
  • Power BI, Tableau, or similar BI platforms
  • Excel (Pivot tables, advanced formulas, Power Query)
  • Python or R (basic data analysis/scripting, optional)
  • CRM or ERP systems knowledge (Salesforce, SAP, Oracle, etc.)
  • Data modeling concepts and tools (e.g., Power Pivot, Star/Snowflake schema)
  
  
• Educational Requirements:
  
  • Bachelor's degree in Business Analytics, Data Science, Computer Science, Economics, Statistics, or related field.
  • Master's degree or certifications (e.g., CBDA, Microsoft DA-100, Tableau Desktop Specialist) are a plus.
  
  

• Consulting
• Management Consulting
• Advisory Services

• IT Software

• DATA ANALYTICS SPECIALIST

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The role of Data Analytics Head is to lead the development and implementation of data-driven strategies to inform business decisions.

Responsibilities include defining, developing, and executing data governance, as well as ensuring management teams have access to necessary data for strategic decision-making.

• Develop and manage key performance indicators (KPIs) for health functions across all business lines and markets.
• Design and enhance operational dashboards using effective data visualization principles.
• Ensure all data points and reports are available through a group data repository.

Required Skills and Qualifications

• Educated at least to 3rd level degree level, Masters preferred.
• At least five years of relevant commercial experience, including leading a complex technical department.
• Strong leadership skills, including ability to identify key talent, coach, develop talent, engage employees, and hold accountable and invested in their results.

Benefits

• Opportunity to work with a diverse and inclusive workforce.
• Chance to apply long-term, big-picture perspective that supports innovation and focuses people on changes that will add value to the business.

Others

This is a senior-level position that requires strong leadership skills and experience in data analytics and operations. If you are looking for a challenging role that offers opportunities for growth and development, please apply.

Job Title: Project Manager – Data & Analytics
Location: Dubai, UAE
Client: Leading Banking Group
Job Type: Full-time | Onsite

About the Role:
We are seeking a highly experienced Project Manager to lead and deliver strategic Data & Analytics initiatives for one of the largest banks in the region. The ideal candidate should have a strong background in managing complex IT/data projects using Agile or hybrid delivery models and a proven ability to work with senior business and technical stakeholders.

Key Responsibilities:

• Drive end-to-end project lifecycle management for Data & Analytics programs
• Collaborate with cross-functional teams (Data Engineering, Analytics, Business SMEs) to define project scope and timelines
• Manage project risks, interdependencies, and ensure alignment with business goals
• Deliver projects on time, within scope, and budget with high-quality standards
• Provide regular updates and reports to PMO, business owners, and steering committees
• Ensure compliance with internal governance, audit, and quality standards
• Conduct project retrospectives and identify continuous improvement opportunities

Required Experience:

• 8+ years of experience as an IT Project Manager with minimum 3 years managing Data & Analytics or Data Platform initiatives
• Strong expertise in project planning, tracking, risk/issue management
• Experience delivering projects using Agile, Waterfall or Hybrid methodologies
• Excellent communication, stakeholder engagement, and vendor coordination skills
• Experience working with or for consulting firms is preferred
• Experience in banking/financial services industry is a plus

Education & Certifications:

• Bachelor's degree in IT, Engineering, or related field
• PMP / Prince2 / Agile Scrum certifications are mandatory

Why Join?

• Work with a reputed bank on high-impact data transformation programs
• Competitive compensation and career growth opportunities
• Collaborative and dynamic working environment

Our client is an international law firm and they are currently wishing to recruit an experienced law firm Data Analytics Specialist.

They are seeking a specialist with technical skills in data analysis who is comfortable doing formulas and data analysis on massive excel spreadsheets.

You must be experienced in using visio; design PPT presentations; etc.

This person would be a timekeeper and would bill time like a paralegal, but the real emphasis here isn’t on research, but rather technical/analysis skills.

• You would fix coding errors and other data-related problems.
• Mining data from primary and secondary sources, then reorganizing said data in a format that can be easily read by either human or machine.
• Using statistical tools to interpret data sets, paying particular attention to trends and patterns that could be valuable for diagnostic and predictive analytics efforts.

Please email your CV ASAP to discuss.

At Emirates our People Experience team is pivotal in ensuring that we are creating a positive employee experience. At all touch points, from recruitment to on boarding all the way to an employee's end of service, we are committed to providing an excellent employee life cycle!

As an HR Specialist – Data Science, you will support the People Experience team and “One HR” by applying analytics best practices to enhance employee experiences across the people lifecycle—covering areas like workforce planning, performance, engagement, recruitment, and retention. You’ll collaborate with HR, IT, and ED&A teams to drive data-informed decisions. A background in data science is essential for this role.

This role is for an experienced Data Scientist with at least 5 years of hands-on expertise specifically in data science, not just general IT. You will analyse large volumes of structured and unstructured HR data to uncover insights and drive data-informed decisions. Using statistical methods, machine learning, and visualization tools, you will solve HR-related business challenges and work closely with cross-functional teams to turn insights into actionable strategies.

In this role, you will

• Support the HR Manager – Data & Analytics in managing the people analytics demand funnel, aligning with HR’s strategic goals and stakeholder engagement.
• Participate in requirement-gathering sessions with internal (e.g., C&B, HRBP, L&T) and external stakeholders (e.g., P&L, IT, Legal, Finance, ED&A).
• Assist in developing delivery roadmaps across the data value chain—from ingestion to modelling and visualization.
• Lead development of people analytics data products in collaboration with HR, ED&A, and IT; build and test data ingestion pipelines and domain products within the Enterprise Data Platform (EDP).
• Maintain and enhance existing data products and models based on evolving business needs.
• Define key people metrics and develop information products (e.g., dashboards, reports, data science models) to generate actionable insights.
• Monitor KPI trends and recommend insights to relevant stakeholders.
• Maintain and enhance existing dashboards and reports to ensure relevance, accuracy, and business value.
• Support self-service analytics enablement by guiding HR stakeholders, data analysts, and power users on best practices and standardized tools.
• Contribute to analytics capability building by designing and delivering training, workshops, and consultations to upskill HR teams.
• Promote adoption of advanced analytics and data visualization through best practices and internal advocacy.
• Collaborate with the HR Systems & Technology team to align analytics needs with system design, ensuring integration of data across the employee lifecycle.
• Partner with the HR Governance & Compliance team and ED&A to support data quality, regulatory compliance, and master data governance within the Enterprise Data Platform.

To be considered for the role, you must meet the below requirements

• Bachelor's degree and 5+ years’ experience in data science
• Proficient in data mining, machine learning, AI, mathematics, and statistical analysis
• Advanced skills in pattern recognition and predictive modeling
• Experienced with Python, SQL, Excel, and Tableau
• Familiar with HR systems (e.g., ERP, P2P, Taleo) and/or airline industry preferred
• Proven experience in leading transformational initiatives
• Skilled in project management with a focus on investment, scope, and success metrics
• Strong relationship-building and stakeholder engagement across all levels

You’ll have an edge if you have

• Able to understand diverse user needs and translate them into practical solutions
• Excellent communication and presentation skills with the ability to influence stakeholders

Get AI-powered advice on this job and more exclusive features.

Job Title: Project Manager - Data & Analytics
Location: Dubai, UAE
Client: Leading Banking Group
Job Type: Full-time | Onsite
About the Role:
We are seeking a highly experienced Project Manager to lead and deliver strategic Data & Analytics initiatives for one of the largest banks in the region. The ideal candidate should have a strong background in managing complex IT/data projects using Agile or hybrid delivery models and a proven ability to work with senior business and technical stakeholders.
Key Responsibilities:

• Drive end-to-end project lifecycle management for Data & Analytics programs
• Collaborate with cross-functional teams (Data Engineering, Analytics, Business SMEs) to define project scope and timelines
• Manage project risks, interdependencies, and ensure alignment with business goals
• Deliver projects on time, within scope, and budget with high-quality standards
• Provide regular updates and reports to PMO, business owners, and steering committees
• Ensure compliance with internal governance, audit, and quality standards
• Conduct project retrospectives and identify continuous improvement opportunities
  

• 8+ years of experience as an IT Project Manager with minimum 3 years managing Data & Analytics or Data Platform initiatives
• Strong expertise in project planning, tracking, risk/issue management
• Experience delivering projects using Agile, Waterfall or Hybrid methodologies
• Excellent communication, stakeholder engagement, and vendor coordination skills
• Experience working with or for consulting firms is preferred
• Experience in banking/financial services industry is a plus
  

• Bachelor's degree in IT, Engineering, or related field
• PMP / Prince2 / Agile Scrum certifications are mandatory
  

• Work with a reputed bank on high-impact data transformation programs
• Competitive compensation and career growth opportunities
• Collaborative and dynamic working environment

• Seniority levelMid-Senior level

• Employment typeFull-time

• Job functionOther
• IndustriesIT Services and IT Consulting

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RAKBANK, also known as the National Bank of Ras Al-Khaimah, is a Public Joint Stock Company based in the United Arab Emirates (UAE). It was founded in 1976 and is one of the oldest banks in the UAE. The Bank operates within retail and corporate banking, offering a range of services including personal and business banking, credit cards, loans, investment services, and wealth management.

In recent years, the Bank has achieved significant milestones, including being named one of the world's best banks by Forbes ME (2022) and receiving the UAE's SME Bank of the Year award by the Asian Banking and Finance Awards. The Bank has maintained the highest profitability and lowest cost of risk since 2015, with notable growth in acquiring business, card spending, and business loans.

As part of its transformational journey, RAKBANK has partnered with Honeywell to take steps towards sustainability by reducing energy consumption.

We are a diverse team of over 3,000 employees from 58 countries, committed to building talented, diversified teams and fostering a work environment that promotes work-life balance, career development, recognition, and security.

Aligned with our strategy, a key aspect of our transformation is to future-proof our bank and establish ourselves as a ‘Digital bank with a human touch’ for our customers.

Join us in co-creating the future of RAKBANK!

We are seeking an experienced and analytical Assistant Vice President (AVP) of Fraud Data Analytics to join our team in Dubai, UAE. In this role, you will lead our fraud detection and prevention efforts using advanced data analytics techniques.

The role involves overseeing fraud risk assessment by developing, implementing, and maintaining fraud detection systems and analytics processes. You will collaborate with IT, compliance, risk management, and operations to ensure system integrity and security. Your responsibilities include analyzing large datasets to identify fraudulent behavior and designing automated systems for real-time monitoring, staying updated on fraud trends and technologies to enhance prevention strategies. This position requires excellent problem-solving skills, integrity, and the ability to communicate complex technical information to non-technical stakeholders.

• Develop and implement fraud prevention strategies using advanced analytics, machine learning, and real-time monitoring systems.
• Ensure compliance with relevant laws and regulations, working closely with legal and compliance teams.
• Lead a team of fraud analysts and collaborate with departments such as IT, legal, and customer service. Communicate effectively with senior management and stakeholders.

• Design and maintain dashboards and reports on fraud losses, transaction monitoring, and key risk indicators using SAS Visual Analytics, Power BI, and SAP Business Objects.
• Analyze large datasets from banking systems to generate insights for fraud prevention and risk assessment.
• Support regulatory and internal reporting, ensuring compliance with standards.

• Develop and optimize fraud detection rules within SAS Fraud Management.
• Monitor rule performance, conduct root cause analysis, and fine-tune rules.
• Collaborate on fraud rules strategy and support deployment of machine learning models.
• Document rule logic, maintain version control, and manage workflows for rules deployment.

• Lead advanced analytics initiatives with the Analytics Department.
• Partner with stakeholders to identify analytics-driven fraud mitigation opportunities.
• Present findings to senior management and influence strategic decisions.
• Share intelligence with Cyber Security and AML teams.

• Review and enhance counter-fraud strategies and policies.
• Ensure adherence to internal controls and data governance standards.
• Assist in implementing the Anti-Fraud Framework and related policies.

What you will bring:

• Bachelor’s or master’s degree in data science, Statistics, Computer Science, Banking, or related field.
• 8-10 years’ experience in fraud analytics or risk management in banking or financial services.
• Experience with rules deployment on fraud management systems (e.g., SAS Fraud Management, FICO Falcon).
• Expertise in data analysis, statistical modeling, and fraud detection technologies.
• Understanding of banking products, digital channels, and fraud risks.
• Excellent problem-solving, communication, and stakeholder management skills.
• Knowledge of programming and databases (SAS, SQL, Python, R).
• Certifications like CFE are highly desirable.

Competencies include analytical skills, technological proficiency, investigative skills, regulatory knowledge, communication skills, problem-solving, and attention to detail.

Job Title: Project Manager – Data & Analytics
Location: Dubai, UAE
Client: Leading Banking Group
Job Type: Full-time | Onsite

About the Role:
We are seeking a highly experienced Project Manager to lead and deliver strategic Data & Analytics initiatives for one of the largest banks in the region. The ideal candidate should have a strong background in managing complex IT/data projects using Agile or hybrid delivery models and a proven ability to work with senior business and technical stakeholders.

Key Responsibilities:

• Drive end-to-end project lifecycle management for Data & Analytics programs
• Collaborate with cross-functional teams (Data Engineering, Analytics, Business SMEs) to define project scope and timelines
• Manage project risks, interdependencies, and ensure alignment with business goals
• Deliver projects on time, within scope, and budget with high-quality standards
• Provide regular updates and reports to PMO, business owners, and steering committees
• Ensure compliance with internal governance, audit, and quality standards
• Conduct project retrospectives and identify continuous improvement opportunities

Required Experience:

• 8+ years of experience as an IT Project Manager with minimum 3 years managing Data & Analytics or Data Platform initiatives
• Strong expertise in project planning, tracking, risk/issue management
• Experience delivering projects using Agile, Waterfall or Hybrid methodologies
• Excellent communication, stakeholder engagement, and vendor coordination skills
• Experience working with or for consulting firms is preferred
• Experience in banking/financial services industry is a plus

Education & Certifications:

• Bachelor's degree in IT, Engineering, or related field
• PMP / Prince2 / Agile Scrum certifications are mandatory

Why Join?

• Work with a reputed bank on high-impact data transformation programs
• Competitive compensation and career growth opportunities
• Collaborative and dynamic working environment

Our client is an international law firm and they are currently wishing to recruit an experienced law firm Data Analytics Specialist.

They are seeking a specialist with technical skills in data analysis who is comfortable doing formulas and data analysis on massive excel spreadsheets.

You must be experienced in using visio; design PPT presentations; etc.

This person would be a timekeeper and would bill time like a paralegal, but the real emphasis here isn’t on research, but rather technical/analysis skills.

• You would fix coding errors and other data-related problems.
• Mining data from primary and secondary sources, then reorganizing said data in a format that can be easily read by either human or machine.
• Using statistical tools to interpret data sets, paying particular attention to trends and patterns that could be valuable for diagnostic and predictive analytics efforts.

Please email your CV ASAP to discuss.