66 Data Analytics jobs in Abu Dhabi

As a data analytics specialist, you will play a key role in supporting the analysis of ecological and biological datasets. With 1+ years of experience in data analysis, R/Python skills, and expertise in statistical modeling, machine learning, and data visualization, you will work on handling, cleaning, and organizing large datasets for statistical analysis.

• Conduct in-depth statistical analysis of ecological and biological datasets to inform conservation strategies
• Develop and implement complex statistical models using R and Python to identify trends and patterns
• Collaborate with cross-functional teams to integrate statistical insights into conservation initiatives
• Stay up-to-date with emerging tools and methodologies in data science and conservation technology

Strong problem-solving skills, attention to detail, organizational and time management skills, effective communication skills, and a collaborative team player attitude are essential for this role.

Benefits: This position offers opportunities for professional growth and development, as well as a chance to make a meaningful impact in the field of conservation.

AML Data Analytics role at Dicetek LLC .

• Policies, Systems, Process & Procedures
  • Follow all relevant departmental policies, processes, standard operating procedures, and instructions so that the work is carried out in a controlled and consistent manner.
• Data Analysis and Continuous Improvement
  • Support the Compliance Technology, Data and Reporting Department in identifying continuous improvement and sustainability improvement opportunities for the related systems, processes and practices.
  • Support in implementation of the AML Group compliance systems Road map as agreed with the Compliance management and keep Head of AML Data Analytics & Head of Compliance Technology & Data Analytics.
  • Ensure comprehensive SIT/UAT is carried out including negative testing for every project with relevant resources and ensure successful completion.
  • Co-ordinate all relevant AML compliance system changes required in the existing platform as per business requirements as change requests with Group IT setting timelines, creating programme structures and installing/updating systems architecture where appropriate to support compliance capabilities for major changes.
  • To conduct complete data analysis on Group Customers and transactions to establish transaction behaviour/patterns, to generate proactive intelligence to assist in recalibration of the Customer segmentation for better monitoring.
  • To establish predictive Customer behaviour patterns for betterment of Transaction Monitoring and to pave ways for thematic review.
  • Map identified risks to internal data and systems, assess and analyse the banks' exposure, quantify the potential impact and escalate to the team lead where threats or control vulnerabilities are identified
  • Provide inputs into Compliance risk models and systems.
• Technology
  • Assist in producing procedures and processes aligned to Group Policy of Group CTDA function
  • Assist in conducting feasibility studies to assess need for new systems and provide technical inputs during technology vendor selection
  • Assist in exercises such as design and system architecture of compliance related systems by consulting with business users.
  • Build necessary data models pre-empting customer transactional behaviour performing Near Neighbour analysis.
  • Performing periodic scenario threshold reviews identifying the following:
    • a. Identifying redundant, non-performing scenarios
    • b. Identifying new patterns using data models identifying new scenarios for implementation
    • c. Co-relate SAR data with alerts/case closures to identify trigger points for identifying customer behaviour.
  • Periodically consult with compliance SMEs to get inputs on system, data and reporting requirements and drive projects from conceptualisation through implementation.
  • Perform the management of change orders for modifications and upgrades to compliance related systems and tools development.
  • Oversee and Manage system updates in response to risks identified or GIA ( Group Internal Audit) findings.
• Reporting
  • Collaborate with Compliance SMEs to develop Compliance related MI dashboards.
  • Develop periodic reporting plan and maintain the schedule and workflow for multiple reports.
  • Populate management information dashboards by extracting relevant data from source systems including using logical queries and basic programming.
  • Collaborate with Compliance colleagues to obtain information to populate dashboards.
  • Submit MI dashboards to team lead for review.

• Bachelor's degree in computer science/technology or finance systems

• At least 4 years of experience in risk analysis, data analytics or relevant statistic discipline
• At least 2 years of experience in an AML Financial Crime Compliance role

• Contract

• Information Technology

• IT Services and IT Consulting

This executive leadership role is responsible for shaping and driving a vast data strategy, enabling data-driven decision-making, and fostering innovation through advanced analytics and AI. The position oversees data governance, infrastructure, and ecosystem development, ensuring secure, ethical, and impactful use of data across multiple organisations.

This is a prominent organisation undergoing a bold digital transformation, with a strong focus on data-driven innovation across its diverse portfolio of subsidiaries. The company offers a dynamic and forward-thinking environment where strategic leadership in data can drive real impact at scale.

• 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.

Analytics, data

Data & Analytics Manager

Location: Abu Dhabi

We are hiring on behalf of a major multinational in the energy & infrastructure sector, recognised for its scale, innovation, and impact. This is a rare opportunity to join a prestigious organisation driving digital and data transformation across the region.

• Lead enterprise data strategy, governance, and compliance
• Oversee data platforms, BI, and analytics solutions
• Drive insights for executive decision-making
• Build and mentor a high-performing data team

• Degree in Computer Science, Data, IT, Statistics, or related (Master's preferred)
• 7+ years' experience in data/analytics leadership roles
• Strong background in data governance, BI, and platform management
• Excellent stakeholder management & leadership skills

We are hiring on behalf of a major multinational in the energy & infrastructure sector, recognised for its scale, innovation, and impact. This is a rare opportunity to join a prestigious organisation driving digital and data transformation across the region.

Key Focus:

• Lead enterprise data strategy, governance, and compliance
• Oversee data platforms, BI, and analytics solutions
• Build and mentor a high-performing data team

Requirements:

• Degree in Computer Science, Data, IT, Statistics, or related (Master's preferred)
• 7+ years' experience in data/analytics leadership roles
• Strong background in data governance, BI, and platform management

Job Details:

• Seniority level: Mid-Senior level
• Employment type: Full-time
• Job function: Information Technology
• Industries: Services for Renewable Energy and Energy Technology

This is a high-level role that requires the development and implementation of risk management strategies for our organization. The ideal candidate will have extensive knowledge of data management, analytics, and machine learning techniques.

• Manage and maintain data for risk models implementation and scorecards development.
• Develop and implement efficient and secure procedures for data management and analysis with attention to all technical aspects.
• Perform data analytics for modelling teams in development recalibration and validation of Risk and statistical models by carrying out data preparation segmentation analysis and testing tasks. Assist with data extraction when needed.
• Apply techniques such as generative AI classification regression clustering and other related methods.

The following are the minimum qualifications required for this position:

• Minimum 5 years of total experience in handling data management projects data science machine learning model development within banking and finance sector preferably in Credit Risk domain i.e. Basel II and IFRS 9 Risk models development and implementation risk analytics reporting
• Bachelors degree in computer science Engineering Information Systems or a related field.
• Masters degree is preferred.

This role offers the opportunity to work in a collaborative and dynamic environment with a team of experienced professionals. You will have the chance to develop your skills and expertise while contributing to the success of our organization.

Other responsibilities include ensuring data quality review and standard checks to assess the data completeness accuracy timeliness uniqueness and traceability, and providing analytics and quantitative support as and when necessitated.

A key role responsible for overseeing the health and performance of the company's portfolio at the group level. This position involves developing and implementing robust monitoring frameworks, conducting in-depth data analysis to identify trends, risks, and opportunities, and providing actionable insights to support strategic decision-making, risk mitigation, and portfolio optimization.

The role will collaborate closely with risk, credit, product, and finance teams to ensure the portfolio aligns with the organization's risk appetite and business objectives.

• Design, develop, and maintain comprehensive portfolio monitoring dashboards and reports tracking key performance indicators (KPIs) and key risk indicators (KRIs) such as delinquency rates, default rates, loss severity, vintage performance, and portfolio concentration.
• Automate and streamline reporting processes to ensure timely and accurate dissemination of portfolio insights to stakeholders.
• Monitor portfolio trends against established benchmarks, risk appetite limits, and industry best practices.

• Conduct deep-dive analyses of the loan portfolio to identify emerging risks, uncover performance drivers, and assess the impact of new initiatives or market changes.
• Perform segmentation analysis (e.g., by product, geography, customer segment, credit score bands) to understand varying risk-return profiles.
• Analyse portfolio vintage performance to assess underwriting quality and the effectiveness of credit policies over time.

• Develop and implement early warning systems to proactively identify deteriorating credit quality or adverse portfolio trends.
• Support the development, validation, and ongoing monitoring of credit risk models (e.g., Probability of Default, Loss Given Default, Exposure at Default).
• Utilize statistical and analytical techniques to forecast portfolio losses, provisions, and other key metrics.
• Collaborate with the data science team to leverage advanced analytics and machine learning for predictive insights and risk assessment.

• Work closely with the Risk team to provide data-driven insights for policy adjustments and underwriting criteria.
• Partner with Product teams to assess the risk implications of new product launches or changes to existing products.
• Collaborate with Finance and Collections teams on forecasting, provisioning, and recovery strategies.
• Clearly and concisely present analytical findings, insights, and recommendations to senior management and other stakeholders.

• Responsible for fetching and mapping standardized templates for holding companies and supporting subsidiaries.
• Ensure the accuracy, completeness, and integrity of data used for portfolio analysis and reporting.
• Work with data engineering and IT teams to improve data infrastructure and accessibility for analytics purposes.

• Bachelor's degree in a quantitative field such as Statistics, Economics, Finance, Mathematics, Computer Science, Engineering, or a related discipline.
• 10-15+ years of experience in data analytics, portfolio monitoring, or credit risk management, preferably within the lending or fintech industry.
• Strong proficiency in SQL for data extraction, manipulation, and analysis.
• Advanced skills in data visualization tools (e.g., Tableau, Power BI, Qlik Sense) to create impactful reports and dashboards.
• Experience with statistical programming languages (e.g., Python, R) for data analysis and modelling.
• Solid understanding of credit products, credit lifecycle, and key risk metrics.
• Excellent analytical, problem-solving, and critical-thinking skills with a strong attention to detail.
• Ability to translate complex data into actionable business insights.
• Strong communication and presentation skills, with the ability to convey technical information to non-technical audiences.
• Proven ability to work collaboratively in a team-oriented environment.

• A relevant professional certification (e.g., FRM, CFA) is a plus.
• Experience with big data technologies and cloud-based data warehousing solutions.
• Familiarity with AI & machine learning techniques and their application in credit risk.
• Experience in developing and implementing automated reporting solutions.

Overview

Data Analyst, AMET Central Data Analytics team

Job ID: | Q-Express Documents Transport - G25

Amazon is a highly data driven company highly obsessive about metrics. The Data analysts play a crucial role in creating unique reports from data available in multiple locations and providing vital insights into the root cause of quality defects and inventory adjustments. ICQA Data Analyst will work closely with the ICQA, Learning and Finance departments to provide data and analytical support for the business.

• Development of data collection processes and data management systems
• Designing of queries, compiling of data, and generation of reports in SQL
• Charting and graphing of data for reporting purposes
• Develop dashboard (Amazon QuickSight) to support business decision making and dive deep activities
• Develop automation solution for analysis (Python)
• Prepare and publish reports for business reviews (Weekly Business Review, Quarterly Business Review, Project Updates)
• Support leadership team how to interpret data trends as needed
• In depth research of defect trends
• Present analysis in easily digestible standard reports
• Support to ICQA & Learning Team Projects

• Problem-solving and analytical thinking
• Clear communication with stakeholders
• Project planning and execution
• Ability to translate business needs into technical solutions
• Hands-on experience with AWS core services (S3, Lambda, Glue, Redshift, EMR), Python data stack (pandas, numpy, scikit-learn), advanced SQL, ETL pipeline design and implementation, and data lake/warehouse architecture

• Experience with machine learning projects including model development and deployment

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

Location: ES, Community of Madrid, Madrid

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Job Title : Software Engineer - Data Analytics and Machine Learning

About the Role:

We are seeking a highly skilled Software Engineer to join our team and collaborate on an end-to-end data analytics and machine learning solution.

Key Responsibilities:

• Develop a deep understanding of the entire Linux stack, from kernel, networking, and storage, to the application layer.
• Design, build, and maintain solutions that will be deployed on public and private clouds and local workstations.
• Master distributed systems concepts such as observability, identity, tracing.
• Work with both Kubernetes and machine-oriented open source applications.
• Collaborate proactively with a distributed team of engineers, designers, and product managers.
• Debug issues and interact in public with upstream and Ubuntu communities.

Requirements:

• Professional or academic software delivery using Python or Golang.
• Exceptional academic track record from both high school and university.
• Undergraduate degree in a technical subject or a compelling narrative about your alternative chosen path.
• Confidence to respectfully speak up, exchange feedback, and share ideas without hesitation.
• Track record of going above-and-beyond expectations to achieve outstanding results.
• Passion for technology evidenced by personal projects and initiatives.
• The work ethic and confidence to shine alongside motivated colleagues.
• Professional written and spoken English with excellent presentation skills.
• Experience with Linux (Debian or Ubuntu preferred).
• Excellent interpersonal skills, curiosity, flexibility, and accountability.
• Appreciative of diversity, polite, and effective in a multi-cultural, multi-national organisation.
• Thoughtfulness and self-motivation.
• Result-oriented, with a personal drive to meet commitments.

Additional Skills That Would Be Nice To Have:

• Hands-on experience with machine learning libraries, or tools.
• Proven track record of building highly automated machine learning solutions for the cloud.
• Experience with container technologies (Docker, LXD, Kubernetes, etc.).
• Experience with public clouds (AWS, Azure, Google Cloud).
• Working knowledge of cloud computing.
• Passionate about software quality and testing.
• Experience working on an open-source project.

About Us:

We are a pioneering tech firm at the forefront of the global move to open source. We publish Ubuntu, one of the most important open-source projects and the platform for AI, IoT, and the cloud. We change the world of software.

Our workplace is free from discrimination, and we promote diversity. Whatever your identity, we will give your application fair consideration.