42 Data Analytics jobs in Dubai

Overview

Мы ищем опытного Data Engineer / Python Developer с сильными навыками работы с Python и облачными платформами данных для трансформации, управления и оптимизации финансовых данных.

• Проектирование, разработка и поддержка ETL/ELT-процессов для финансовых и торговых данных.
• Работа с ClickHouse, Snowflake, Postgres, Kafka для эффективного хранения, обработки и управления данными.
• Взаимодействие с аналитиками, риск-менеджерами и трейдерами для предоставления чистых, структурированных наборов данных.
• Разработка и поддержка дашбордов, API и автоматизированных отчетов.
• Внедрение лучших практик в области качества данных, их управления и отслеживания.
• Оптимизация производительности баз данных, мониторинг конвейеров данных и поддержка в продакшене.

WeSource HR is currently seeking a Project Manager / Scrum Master – Data & Analytics to lead high-impact data initiatives for one of our key clients in Dubai. This is a contract-based role ideal for a proactive and organized professional with a strong background in Agile methodologies and data-driven project delivery. You’ll play a pivotal role in driving collaboration, removing roadblocks, and ensuring projects stay aligned with strategic business goals.

Manage end-to-end delivery of data projects
Foster collaboration between business and technical teams
Implement agile best practices and manage project backlogs

5+ years in project management, with 2+ in agile environments
Certified Scrum Master (CSM or equivalent)
Experienced with data engineering, analytics, BI tools
Skilled in JIRA, Azure DevOps, and project tracking tools

At WeSource HR, we specialize in connecting top-tier talent with innovative organizations across the Middle East. Based in Dubai, our mission is to streamline human resources solutions through integrity, agility, and a people-first approach. As a trusted partner in workforce development, we empower businesses by delivering customized HR and talent acquisition strategies. Learn more at wesource.ae.

ESL Group seeks an experienced professional to join our organization as the Manager Operations, Data Analytics. This key role will drive strategy, oversight, and management of our data and analytics initiatives. This is a pivotal role in driving a company-wide transformation, partnering with key stakeholders. The ideal candidate will have a background in the carrier or shipping line industry, with a deep understanding of their unique data and analytics needs.

Responsibilities:

• Develop and implement a comprehensive data and analytics strategy aligned with the overall business objectives to drive data literacy and data-driven decision-making across the organization.
• Collaborate with cross-functional teams to identify and define key performance indicators (KPIs) and metrics that align with the business goals and support data-driven decision-making.
• Ensure data accuracy, integrity, and security throughout the organization by implementing robust data governance and management practices.
• Identify opportunities to leverage advanced analytics techniques, such as predictive modelling and AI, to derive insights, improve operational efficiency, and enhance service offerings.
• Stay current with industry trends, technologies, and best practices in data and analytics and apply them to drive innovation and continuous improvement.
• Develop strong relationships with internal stakeholders, including senior leadership, to understand their requirements, provide analytics solutions, and communicate insights effectively.
• Track and report on key performance metrics related to data and analytics initiatives and present findings, trends, and recommendations to the executive team.

Requirements:

• Tools Smart forecasting – partners’ and ESL’s volumes using algorithms based on historical volumes and “on the books” data.
• Deploying AI/optimization – Researching, sourcing and implementing new tools that enhance visibility and decision making, prepare data landscape to take ESL’s offerings online
• Source all options of external data including known sources on volumes (Eg: CTS, RITAS) and price (Xeneta, CCFI,SCFI). Similarly, also look for ways to build a lead indicator of demand and supply using data from eSea, commodity prices, supply data and others like PMI.
• Setup data connections and key metrics like booking uptake as well as assist with automation of tasks and reporting

• Bachelor's degree in a relevant field, such as Data Science, Computer Science, Statistics, or a related discipline. A master's degree or higher is preferred—a minimum of 8 years of progressive experience in data and analytics.
• A background in the carrier or maritime industry, with an understanding of its challenges is preferred but not mandatory.
• Proven track record of developing and implementing successful data and analytics strategies, driving business growth, and delivering actionable insights.
• Demonstrated expertise in data management, data governance, and data quality assurance.
• Knowledge of advanced analytics techniques, such as predictive modelling and AI, and their applications in the industry.
• Strong communication and presentation skills, with the ability to translate complex analytical concepts into clear and concise insights for non-technical stakeholders.
• Outstanding problem-solving and analytical thinking abilities, with a keen attention to detail.
• Ability to work effectively in a fast-paced, dynamic environment and prioritize and manage multiple projects simultaneously.
• Enjoys driving transformation and has experience with change management in complex business environments

If you are ready to take on this exciting challenge and become a key player in the dynamic field of shipping, we encourage you to apply and join our team in driving success at ESL.

Interested parties please submit your full resume at

Overview

The American University in the Emirates is seeking a highly skilled and motivated Data Engineer to join our Institutional Effectiveness and Data Analytics team. The successful candidate will design and implement data pipelines to support strategic decision-making, institutional research, accreditation, and academic/administrative operations. The role involves building data ingestion frameworks from multiple sources, preparing datasets for AI, predictive analysis, clustering, and classification models , and developing visualizations, KPIs, and scorecards for executive reporting.

• Design, develop, and maintain data pipelines for ingestion, transformation, and integration from diverse sources (databases, APIs, cloud systems, ERP, LMS, CRM, etc.).
• Build and optimize ETL/ELT workflows to ensure data accuracy, consistency, and availability.
• Create dashboards, KPIs, and scorecards using Power BI and other visualization tools to support academic, administrative, and executive stakeholders.
• Develop predictive models, clustering, and classification algorithms for student success, enrollment forecasting, and operational insights.
• Experience deploying ML models in production using Docker, Kubernetes, and serverless frameworks.
• Familiar with monitoring tools such as Prometheus, Grafana, and Langfuse for real-time tracking, alerting, and performance diagnostics.
• Collaborate with academic and administrative departments to identify analytical needs and transform them into scalable data solutions.
• Ensure data governance, security, and compliance with university and regulatory policies.
• Support AI-driven initiatives in institutional research, student engagement, and accreditation compliance.
• Continuously evaluate emerging tools and methodologies for data engineering, visualization, and analytics .

• Strong proficiency in data engineering and pipeline design (ETL/ELT).
• Expertise in SQL, Python for data processing and analytics.
• Experience with cloud data platforms (Azure Data Factory, AWS Glue, or GCP BigQuery) preferred.
• Solid understanding of machine learning techniques : regression, classification, clustering, and predictive analysis.
• Advanced skills in data visualization and BI tools : Power BI, Tableau.
• Ability to design and develop KPI dashboards, scorecards, and executive reports .
• Familiarity with data governance, quality, and metadata management .
• Strong problem-solving skills with the ability to translate business questions into analytical models.
• Excellent communication and collaboration skills to work with academic and administrative stakeholders.

• Bachelor’s or Master’s degree in Data Science, Computer Science, Information Systems, Statistics, or related field .
• 3–5 years of experience in data engineering, analytics, or business intelligence (experience in higher education preferred).
• Hands-on experience with AI/ML libraries (scikit-learn, TensorFlow, PyTorch, etc.) is an advantage.
• Proven track record of building data models, pipelines, and visualization dashboards .
• Certification in Azure Data Engineer, AWS Data Analytics, or Tableau/Power BI is a plus.

• Experience working in an academic/university setting with exposure to student information systems and accreditation reporting .
• Knowledge of institutional research methodologies and KPI frameworks.
• Strong passion for leveraging data for student success and organizational excellence .

The American University in the Emirates (AUE) invites applications from well-qualified candidates for a range of faculty and administrative positions. AUE is located in Dubai Intl. Academic City.

AUE is not just a place of learning but a hub of innovation and growth, where your expertise and aspirations find a welcoming environment.

At AUE, we believe Nothing is Impossible is the Pathway to Success

AUE comprises seven dynamic colleges: College of Law, College of Education, College of Design, College of Business Administration, College of Media and Mass Communication, College of Computer Information Technology and College of Security and Strategic Studies. Each college boasts unique strengths and prestigious accreditations, reflecting our commitment to providing a world-class education.

The American University in the Emirates is accredited by SACSCOC (the Southern Association of Colleges and Schools Commission on Colleges) to award baccalaureate and master’s degrees. Degree-granting institutions also may offer credentials such as certificates and diplomas at approved degree levels

The American University in the Emirates is officially licensed to operate as a higher education institution and all its programs are accredited by CAA (the Commission for Academic Accreditation), Ministry of Education, United Arab Emirates.

The College of Business Administration is a proud member of AACSB (The Association to Advance Collegiate Schools of Business), and its degree programs (Bachelor of Business Administration, Master of Business Administration, Master of Sport Management) are accredited by AACSB as of 2022.

The Bachelor of Computer Science in the College of Computer Information Technology is accredited by the Computing Accreditation Commission of ABET .

NASAD (The National Association of Schools of Art and Design) has granted the Bachelor of Science in Fashion Design, Bachelor of Science in Graphic Design, Bachelor of Science in Interior Design, and Bachelor of Science in Animation in the College of Design , the designation of Substantial Equivalency with accredited programs in the United States.

Overview

The American University in the Emirates is seeking a highly skilled and motivated Data Engineer to join our Institutional Effectiveness and Data Analytics team. The successful candidate will design and implement data pipelines to support strategic decision-making, institutional research, accreditation, and academic/administrative operations. The role involves building data ingestion frameworks from multiple sources, preparing datasets for AI, predictive analysis, clustering, and classification models , and developing visualizations, KPIs, and scorecards for executive reporting.

• Design, develop, and maintain data pipelines for ingestion, transformation, and integration from diverse sources (databases, APIs, cloud systems, ERP, LMS, CRM, etc.).
• Build and optimize ETL/ELT workflows to ensure data accuracy, consistency, and availability.
• Create dashboards, KPIs, and scorecards using Power BI and other visualization tools to support academic, administrative, and executive stakeholders.
• Develop predictive models, clustering, and classification algorithms for student success, enrollment forecasting, and operational insights.
• Experience deploying ML models in production using Docker, Kubernetes, and serverless frameworks.
• Familiar with monitoring tools such as Prometheus, Grafana, and Langfuse for real-time tracking, alerting, and performance diagnostics.
• Collaborate with academic and administrative departments to identify analytical needs and transform them into scalable data solutions.
• Ensure data governance, security, and compliance with university and regulatory policies.
• Support AI-driven initiatives in institutional research, student engagement, and accreditation compliance.
• Continuously evaluate emerging tools and methodologies for data engineering, visualization, and analytics .

• Strong proficiency in data engineering and pipeline design (ETL/ELT).
• Expertise in SQL, Python for data processing and analytics.
• Experience with cloud data platforms (Azure Data Factory, AWS Glue, or GCP BigQuery) preferred.
• Solid understanding of machine learning techniques : regression, classification, clustering, and predictive analysis.
• Advanced skills in data visualization and BI tools : Power BI, Tableau.
• Ability to design and develop KPI dashboards, scorecards, and executive reports .
• Familiarity with data governance, quality, and metadata management .
• Strong problem-solving skills with the ability to translate business questions into analytical models.
• Excellent communication and collaboration skills to work with academic and administrative stakeholders.

• Bachelor’s or Master’s degree in Data Science, Computer Science, Information Systems, Statistics, or related field .
• 3–5 years of experience in data engineering, analytics, or business intelligence (experience in higher education preferred).
• Hands-on experience with AI/ML libraries (scikit-learn, TensorFlow, PyTorch, etc.) is an advantage.
• Proven track record of building data models, pipelines, and visualization dashboards .
• Certification in Azure Data Engineer, AWS Data Analytics, or Tableau/Power BI is a plus.

• Experience working in an academic/university setting with exposure to student information systems and accreditation reporting .
• Knowledge of institutional research methodologies and KPI frameworks.
• Strong passion for leveraging data for student success and organizational excellence .

The American University in the Emirates (AUE) invites applications from well-qualified candidates for a range of faculty and administrative positions. AUE is located in Dubai Intl. Academic City.

AUE is not just a place of learning but a hub of innovation and growth, where your expertise and aspirations find a welcoming environment.

At AUE, we believe Nothing is Impossible is the Pathway to Success

AUE comprises seven dynamic colleges: College of Law, College of Education, College of Design, College of Business Administration, College of Media and Mass Communication, College of Computer Information Technology and College of Security and Strategic Studies. Each college boasts unique strengths and prestigious accreditations, reflecting our commitment to providing a world-class education.

The American University in the Emirates is accredited by SACSCOC (the Southern Association of Colleges and Schools Commission on Colleges) to award baccalaureate and master’s degrees. Degree-granting institutions also may offer credentials such as certificates and diplomas at approved degree levels.

The American University in the Emirates is officially licensed to operate as a higher education institution and all its programs are accredited by CAA (the Commission for Academic Accreditation), Ministry of Education, United Arab Emirates.

The College of Business Administration is a proud member of AACSB (The Association to Advance Collegiate Schools of Business), and its degree programs (Bachelor of Business Administration, Master of Business Administration, Master of Sport Management) are accredited by AACSB as of 2022.

The Bachelor of Computer Science in the College of Computer Information Technology is accredited by the Computing Accreditation Commission of ABET .

NASAD (The National Association of Schools of Art and Design) has granted the Bachelor of Science in Fashion Design, Bachelor of Science in Graphic Design, Bachelor of Science in Interior Design, and Bachelor of Science in Animation in the College of Design , the designation of Substantial Equivalency with accredited programs in the United States.

We are looking for an experienced Head of Data Lake & Analytics Delivery to lead the execution of enterprise-scale data initiatives. The role will focus on the end-to-end delivery of data lake platforms, data pipelines, and analytics solutions, ensuring business teams have timely, reliable, and actionable insights. This is a hands-on role requiring strong delivery management, technical depth, and stakeholder engagement skills.

• Delivery Management : Own the planning, execution, and delivery of data lake and analytics projects across business units. Drive the build and maintenance of robust data ingestion, transformation, and consumption pipelines. Monitor delivery timelines, risks, and budgets to ensure successful project outcomes. Apply Agile/DevOps practices for faster and more reliable releases.
• Data Lake & Platform Execution : Manage integration of structured and unstructured data into the enterprise data lake. Ensure scalability, performance, and cost optimization of cloud-based data platforms (AWS, Azure, GCP, or hybrid). Oversee implementation of data warehousing and BI tools (Snowflake, Redshift, Synapse, BigQuery, etc.).
• Analytics Enablement : Deliver reporting, dashboards, and self-service analytics capabilities for business users. Partner with data scientists and analysts to operationalize advanced analytics and ML models. Ensure solutions meet business KPIs and enable measurable outcomes.
• Governance & Quality : Implement data quality checks, monitoring, and remediation processes. Enforce governance policies including data privacy, compliance, and security. Maintain metadata management and data cataloging practices.
• Team & Vendor Management : Lead and mentor data engineering and analytics delivery teams. Manage vendor and partner engagements to ensure delivery commitments are met. Allocate resources effectively across multiple programs.

A software development company is looking for a talented, long-term Lead DS Researcher.

We’re looking for a Lead Data Science Researcher who thrives in research-heavy environments and enjoys exploring uncharted territory with the support of a strong technical team.

This is a unique opportunity to drive forward new ideas and applications, not just optimize existing ones.

About the company

Company Top Remote Talent

The company is a team of experts providing analytical services to healthcare clients. You will join an international team of first class professionals who are passionate to create products that improve quality of medical services.

Responsibilities

You will lead a compact team of two data scientists, guiding them on high-impact research initiatives and experimental projects. Your role will involve pushing the boundaries of applied machine learning — especially in the context of medical and clinical data — and turning complex problems into innovative solutions.

Requirements

**What we’re looking for:**Exceptional analytical and statistical skills-comfortable with uncertainty, inference, and experimentation;

Strong background in different areas of ML (traditional classification and regression techniques, recommender systems, text data, clustering, etc.);

Solid experience with deep learning frameworks like PyTorch or TensorFlow;

Excellent Python skills (beyond Jupyter Notebooks) - ability to build clean, testable, production-ready code;

Familiarity with medical or life science data is a strong plus;

Expertise in SQL, Pandas, Scikit-learn, and modern data workflows;

Comfortable working in Google Cloud Platform (GCP) environments.

**Bonus points for experience with:**State-of-the-art NLP models, Transformers, Agentic Approaches for mixed (temporal and text) data analysis and summarization;

Experience with pipeline orchestration tools like Airflow, Argo, etc.;

Proven Experience with Anomaly Detection and Forecasting with explainability for temporal and mixed data;

Intermediate+ English — ability to participate in written discussions with international teams and clients.

Working conditions

**Benefits:**Join a mission-driven team working at the intersection of data, medicine, and impact;

Work on meaningful challenges with long-term value for public health and healthcare quality;

Collaborate with top-tier experts in a culture that values curiosity, autonomy, and innovation;

Fully remote-friendly setup with flexibility and trust at the core.

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