75 Data Mining jobs in the United Arab Emirates

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.

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.

Michael Page Abu Dhabi, Abu Dhabi Emirate, United Arab Emirates

Michael Page Abu Dhabi, Abu Dhabi Emirate, United Arab Emirates

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Executive Director: Data, Analytics & AI - UAE National

• Lead data strategy at enterprise scale with real impact
• Exec experience leading data strategy in multi-entity organisations is essential
  
  

• Define and lead a unified data strategy across a multi-entity organisation.
• Establish governance frameworks to ensure data quality, privacy, and compliance.
• Oversee scalable data platforms supporting advanced analytics and decision-making.
• Drive adoption of AI and machine learning to deliver actionable insights.
• Enable secure and ethical data sharing across internal and external stakeholders.
• Promote a data-driven culture through training and capability building.
• Lead and develop a high-performing team of data professionals.
  
  

• Minimum 15 years' experience in data strategy, governance, or analytics, with at least 5 years in executive leadership roles.
• Proven track record of leading large-scale data programmes across complex organisations.
• Strong expertise in data governance, privacy, AI ethics, and regulatory compliance.
• Advanced knowledge of data infrastructure, cloud platforms, and analytical tools.
• Exceptional stakeholder engagement and cross-functional collaboration skills.
• Master's degree in Data Science, Computer Science, Engineering, or a related field; Ph.D. preferred.
  
  

• A high-impact leadership role shaping data strategy across a major organisation with multiple subsidiaries.
• A collaborative and forward-thinking environment committed to ethical data use and excellence.
• Based in Abu Dhabi, offering a dynamic lifestyle and access to a thriving professional ecosystem.
  
  

• Seniority level Executive

• Employment type Full-time

• Job function Business Development and Sales
• Industries Staffing and Recruiting

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We are hiring a Senior Solution Architect for one of our prestigious banking clients in the UAE. If you are a technical leader with expertise in real-time data architectures, APIs, and mobile ecosystems , this opportunity is for you!

• Develop and maintain real-time data architecture standards, guidelines, and best practices
• Design and implement end-to-end real-time data solutions, including data ingestion, processing, and analytics
• Collaborate with the Information security team to ensure the confidentiality, integrity, and availability of the bank’s data assets
• Developing and designing requirements for mobile apps and its associated ecosystem in consultation with involved internal departments and subsidiaries
• Utilize best practices for mobile app design, user interface, and overall architecture
• Ensure all designs align with internal ENBD development standards, user journeys, wireframes, and architectural patterns used by ENBD
• 5+ years of experience designing mobile apps, microservices, and APIs
• Participated in and/or led at least 3 projects designing and architecting mobile apps within a microservices and API-based ecosystem

• Strong knowledge of real-time data processing technologies, including Kafka, Flink, and PySpark
• Experience with end-to-end design patterns and solutions
• Experience integrating mobile app ecosystems with technologies such as micro-services, containers/cloud-native, event-streams, APIs, and message brokers
• Deep understanding of architectural patterns like micro-services, APIs, and mobile app development
• Proficiency with enterprise architecture tools (e.g., Enterprise Architect) and data modeling tools

• Focus on delivery while balancing customer experience, business requirements, performance, reliability, and security
• High energy, enthusiasm, and passion
• Excellent analytical and critical thinking skills
• Strong stakeholder, time management, and expectation management skills
• Autonomous decision-making with minimal guidance
• High learning potential
• Ability to coach and mentor junior architects

Binance is the leading global blockchain ecosystem and cryptocurrency infrastructure provider whose suite of financial products includes the world’s largest digital-asset exchange.

Our mission is to accelerate cryptocurrency adoption and increase the freedom of money.

If you’re looking for a fast-paced, mission-driven organization where opportunities to learn and excel are endless, then Binance is the place for you.

• Use data to provide value-added analysis and reporting on operations
• Manage process enhancements and monitor the effectiveness of enhancements
• Work closely with PM and provide business requirement documents to push product optimization
• Provide findings and recommendations for execution by operational teams and executives
• Support day-to-day operations and promote a data-driven decision-making culture
• Conduct training of team members to maximize their potential
• Empower team members with skills to improve their confidence, product knowledge, and communication skills
• Be part of a fast-paced industry and organization where time to market is critical
• Willing to work on alternative hours (e.g. work in the evenings to connect with teams based in different jurisdictions)

• At least 1-2 years’ directly related experience in an operations management role or other relevant roles
• Thinks outside the box, data driven, self starter
• Strong financial and economics knowledge
• Proven ability to connect and work collaboratively with multiple teams to address operational requirements and tackle complex issues
• Strong ethical standards and integrity, with dedication and passion for the organization
• Capacity to work both independently and collaboratively with teams across different business units and regions, often under minimal supervision
• Strong research and writing skills, attention to detail, and analytical aptitude
• Graduate from disciplines such as Management, Business Administration, Operations Management, or other relevant fields
• Fluency in English
• Background in financial services or investment banking would be a plus
• Experience in leading projects would be a plus

• Be a part of the world’s leading blockchain ecosystem that continues to grow and offers excellent career development opportunities
• Work alongside diverse, world-class talent in an environment where learning and growth opportunities are endless
• Tackle fast-paced, challenging and unique projects
• Work in a truly global organization, with international teams and a flat organizational structure
• Competitive salary and benefits
• Flexible working hours, remote-first, and casual work attire

Learn more about how Binancians embody the organization’s core values , creating a unified culture that enables collaboration, excellence, and growth.

Apply today to be a part of the Web3 revolution!

Binance is committed to being an equal opportunity employer. We believe that having a diverse workforce is fundamental to our success.

By submitting a job application, you confirm that you have read and agree to our Candidate Privacy Notice .

Strategic & Managerial Responsibilities:

• Support the execution of the health insurance cost containment strategy by delivering timely and accurate data insights that align with organizational priorities.
• Proactively identify opportunities to improve data processes, analytics workflows, and reporting tools to enhance fraud, waste, and abuse (FWA) detection capabilities.
• Collaborate with cross-functional teams to contribute to the development and refinement of fraud detection methodologies and healthcare cost optimization initiatives.
• Participate in continuous improvement efforts to elevate data quality and analytical rigor within MIAD Data Analytics.

Core Responsibilities:

• Develop, maintain, and enhance interactive dashboards and detailed reports using Power BI and other visualization tools to monitor provider, clinician, and member utilization patterns for FWA risks.
• Execute complex data extraction, transformation, and analysis workflows using SQL, Power BI, and scripting tools to detect abnormal utilization and potential waste.
• Work closely with senior data scientists to support advanced modelling efforts and ensure data consistency and integrity across analytics projects.
• Prepare clear, concise business insights and presentations that translate technical findings into actionable recommendations for leadership and operational teams.

Quality & Excellence Management:

• Monitor data quality and consistency in all reporting outputs, ensuring adherence to internal standards and regulatory requirements.
• Assist in the development and implementation of quality assurance procedures for data accuracy in reporting and analysis.
• Optimize and document analytics workflows to improve efficiency and reproducibility of results.
• Stay current on emerging FWA trends and healthcare data innovations to enhance analytical responsiveness and accuracy.

People Management Responsibilities:

• Provide guidance and training to business users on data visualization tools and self-service analytics platforms to promote data-driven decision-making.
• Collaborate with team members and stakeholders to facilitate knowledge sharing and support seamless execution of analytics projects.
• Assist in mentoring junior analysts or interns, contributing to their professional development and skill enhancement.

Preferred Educational Qualifications and Professional Certifications

• Bachelor’s degree required; strongly preferred fields are related to Computer Science or Programming, Statistics or Mathematics, Health Economics or Healthcare Management
• Master’s degree or PhD is preferred

Experience

• Minimum 3 years of experience in the healthcare industry data management or data analysis/reports/automations
• Minimum 3 years of experience in applying advanced analytical techniques to decision making in the healthcare/insurance industry incorporating some of the following skills: Data Analytics, Targeting, Optimization, Simulation, Decision Support, Statistics, and/or Mass-Data Analysis. Diversification and depth of subject matter excellence is preferred
• Experience working with medical coding using CPT4 and ICD10 and one of the following coding systems: UCLS, DRG, MOH, HCPCS or SRVC or similar healthcare methodology experience preferred
• Experience in FWA highly desired

We are hiring a Senior Solution Architect for one of our prestigious banking clients in the UAE. If you are a technical leader with expertise in real-time data architectures, APIs, and mobile ecosystems, this opportunity is for you!

• Develop and maintain real-time data architecture standards, guidelines, and best practices
• Design and implement end-to-end real-time data solutions, including data ingestion, processing, and analytics
• Collaborate with the Information security team to ensure the confidentiality, integrity, and availability of the bank’s data assets
• Developing and designing requirements for mobile apps and its associated ecosystem in consultation with involved internal departments and subsidiaries
• Utilize best practices for mobile app design, user interface, and overall architecture
• Ensure all designs align with internal ENBD development standards, user journeys, wireframes, and architectural patterns used by ENBD
• 5+ years of experience designing mobile apps, microservices, and APIs
• Participated in and/or led at least 3 projects designing and architecting mobile apps within a microservices and API-based ecosystem

• Strong knowledge of real-time data processing technologies, including Kafka, Flink, and PySpark
• Experience with end-to-end design patterns and solutions
• Experience integrating mobile app ecosystems with technologies such as micro-services, containers/cloud-native, event-streams, APIs, and message brokers
• Deep understanding of architectural patterns like micro-services, APIs, and mobile app development
• Proficiency with enterprise architecture tools (e.g., Enterprise Architect) and data modeling tools

• Focus on delivery while balancing customer experience, business requirements, performance, reliability, and security
• High energy, enthusiasm, and passion
• Excellent analytical and critical thinking skills
• Strong stakeholder, time management, and expectation management skills
• Autonomous decision-making with minimal guidance
• High learning potential
• Ability to coach and mentor junior architects

Data Science Lead

• Lead end-to-end data analytics and business intelligence projects, employing statistical methods, machine learning algorithms, and data mining techniques.
• Collaborate with cross-functional teams to understand client requirements, design solutions, and deliver actionable insights.
• Develop and maintain scalable data pipelines and analytics infrastructure for efficient data processing and analysis.
• Design and develop AI models for predictive analytics, anomaly detection, and pattern recognition.
• Collaborate with clients to identify business objectives and translate them into data analysis and reporting requirements.
• Create and maintain dashboards and reports to visualize and communicate data-driven insights.
• Ensure data quality and accuracy by implementing data cleansing, transformation, and validation processes.
• Continuously evaluate and enhance data analytics processes, tools, and techniques to optimize efficiency and effectiveness.
• P present findings and recommendations to clients in a clear and understandable manner.

• A Ph.D. or Master's degree in a relevant field such as Computer Science, Data Science, Statistics, or a related discipline.
• At least 7 years of experience in data analytics, business intelligence, or related roles, with a strong background in AI and machine learning applications.
• Proficiency in programming languages such as Python and R, as well as data analysis libraries (e.g., Pandas, NumPy, Scikit-Learn).
• Hands-on experience with data visualization tools (e.g., Tableau, Power BI) and database management systems (e.g., SQL).
• Experience in working with cloud computing platforms (e.g., AWS, Azure, Google Cloud) and big data technologies.

Strategic & Managerial Responsibilities:

• Support the execution of the health insurance cost containment strategy by delivering timely and accurate data insights that align with organizational priorities.
• Proactively identify opportunities to improve data processes, analytics workflows, and reporting tools to enhance fraud, waste, and abuse (FWA) detection capabilities.
• Collaborate with cross-functional teams to contribute to the development and refinement of fraud detection methodologies and healthcare cost optimization initiatives.
• Participate in continuous improvement efforts to elevate data quality and analytical rigor within MIAD Data Analytics.

Core Responsibilities:

• Develop, maintain, and enhance interactive dashboards and detailed reports using Power BI and other visualization tools to monitor provider, clinician, and member utilization patterns for FWA risks.
• Execute complex data extraction, transformation, and analysis workflows using SQL, Power BI, and scripting tools to detect abnormal utilization and potential waste.
• Work closely with senior data scientists to support advanced modelling efforts and ensure data consistency and integrity across analytics projects.
• Prepare clear, concise business insights and presentations that translate technical findings into actionable recommendations for leadership and operational teams.

Quality & Excellence Management:

• Monitor data quality and consistency in all reporting outputs, ensuring adherence to internal standards and regulatory requirements.
• Assist in the development and implementation of quality assurance procedures for data accuracy in reporting and analysis.
• Optimize and document analytics workflows to improve efficiency and reproducibility of results.
• Stay current on emerging FWA trends and healthcare data innovations to enhance analytical responsiveness and accuracy.

People Management Responsibilities:

• Provide guidance and training to business users on data visualization tools and self-service analytics platforms to promote data-driven decision-making.
• Collaborate with team members and stakeholders to facilitate knowledge sharing and support seamless execution of analytics projects.
• Assist in mentoring junior analysts or interns, contributing to their professional development and skill enhancement.

Preferred Educational Qualifications and Professional Certifications

• Bachelor's degree required; strongly preferred fields are related to Computer Science or Programming, Statistics or Mathematics, Health Economics or Healthcare Management
• Master's degree or PhD is preferred

Experience

• Minimum 3 years of experience in the healthcare industry data management or data analysis/reports/automations
• Minimum 3 years of experience in applying advanced analytical techniques to decision making in the healthcare/insurance industry incorporating some of the following skills: Data Analytics, Targeting, Optimization, Simulation, Decision Support, Statistics, and/or Mass-Data Analysis. Diversification and depth of subject matter excellence is preferred
• Experience working with medical coding using CPT4 and ICD10 and one of the following coding systems: UCLS, DRG, MOH, HCPCS or SRVC or similar healthcare methodology experience preferred
• Experience in FWA highly desired