491 Data Driven jobs in the United Arab Emirates

Unlock the Power of Digital Analytics

We are seeking a skilled and results-driven consultant to help our organization unlock the full potential of our digital analytics capabilities. The successful candidate will work closely with stakeholders, marketers, developers, and data teams to implement, manage, and optimize Adobe Analytics, providing actionable insights to drive data-informed decisions.

• Implement and configure Adobe Analytics tracking for web and mobile platforms, ensuring accurate data collection and seamless user experiences.

• Develop technical specifications and tagging guides for developers to ensure efficient data capture and processing.

• Perform regular audits to validate analytics implementation and troubleshoot data discrepancies, identifying areas for improvement and optimization.

• Build, maintain, and optimize dashboards and reports using Adobe Workspace and other tools, providing valuable insights to inform business decisions.

• Analyze user journeys, conversion funnels, and digital performance to identify opportunities for growth and improvement.

• Collaborate with cross-functional teams (Marketing, UX, Development, Product) to translate business goals into measurement strategies, driving alignment and success.

• Provide training and support to internal teams to enable self-service analytics, empowering stakeholders with data-driven insights.

• Stay up-to-date on industry trends, new features, and best practices within the Adobe Experience Cloud ecosystem, applying expertise to drive innovation and excellence.

• Assist with data governance, documentation, and ensuring data privacy compliance, maintaining trust and integrity in our analytics processes.

• Work with tag management systems like Adobe Launch or other TMS as needed, ensuring seamless integration and data flow.

• Bachelor's degree in Marketing, Data Analytics, Computer Science, or a related field, demonstrating a strong foundation in analytical principles and methodologies.

• Minimum of 3+ years of hands-on experience with Adobe Analytics, including implementation and reporting, showcasing expertise in data analysis and interpretation.

• Strong understanding of web technologies (HTML, JavaScript) and tag management systems (Adobe Launch, Tealium, etc.), enabling effective data capture and processing.

• Solid experience creating segments, calculated metrics, and custom reports in Adobe Workspace, delivering actionable insights to stakeholders.

• Proven ability to interpret data and provide actionable recommendations, driving business growth and improvement.

• Experience with other Adobe Experience Cloud products (Adobe Target, Audience Manager) is a plus, highlighting adaptability and versatility.

• Familiarity with SQL, data visualization tools (e.g., Power BI, Tableau), or other digital analytics platforms (e.g., Google Analytics) is an advantage, demonstrating a broad range of skills and expertise.

• Excellent communication skills with the ability to explain technical concepts to non-technical audiences, fostering collaboration and knowledge-sharing.

• Strong problem-solving skills and attention to detail, ensuring high-quality deliverables and excellent outcomes.

Unlock Your Potential in a World of Data-Driven Insights

We are seeking an exceptional People Analytics Consultant to join our team.

This is a unique opportunity to leverage your analytical skills and expertise in people analytics to drive strategic business decisions.

As a People Analytics Consultant, you will be responsible for conducting advanced data analysis to identify trends, patterns, and insights related to the employee lifecycle and other HR areas.

You will also operate with a commercial mindset, demonstrating strong acumen by translating data-driven insights into strategic business decisions that drive measurable value and improve organizational performance.

• Conduct advanced data analysis to identify trends, patterns, and insights related to the employee lifecycle and other HR areas.
• Develop and deliver compelling data-driven stories that effectively communicate insights to senior audiences.
• Collaborate proactively with HR Business Partners and CoE teams to provide thought leadership for analysis projects.
• Built key relationships across functions including HR, Finance, and Strategy teams.

• Outcome-driven with experience delivering innovative advanced analytical solutions with lasting impact.
• Curious mindset; proactively seeks stories within data.
• Understanding of HR functions, either through hands-on experience or research.
• Proven ability to develop insights and narratives for executive audiences.

Award-winning Work Environment

We pride ourselves on fostering a collaborative and inclusive work environment that encourages innovation and growth.

Join us in shaping the future of people analytics and driving meaningful change in the world of work.

At the forefront of blockchain innovation, we are shaping the future of global compliance systems.

As a Data Scientist on our Compliance team, you will leverage data to drive monitoring and risk assessment, unlocking operational efficiency and strategic decision-making.

• Apply advanced analytical techniques to mitigate compliance risks and identify areas for improvement.
• Analyze complex data sets to derive actionable insights that inform business strategies.
• Design and deploy data pipelines to monitor critical compliance systems.
• Develop intuitive dashboards to visualize key performance indicators and system health.
• Communicate findings and recommendations with clarity and confidence to senior stakeholders.

• A minimum of 5 years of experience in compliance, with expertise in KYC, sanctions, and transaction monitoring.
• Hands-on proficiency in SQL and Python, with a strong ability to build analytical dashboards.
• Excellent written and verbal communication skills in English, enabling effective collaboration with cross-functional teams.
• Capacity to create clear documentation and presentations.
• Strong sense of ownership and a collaborative approach to problem-solving.
• Ability to work effectively in fast-paced environments and adapt to evolving priorities.

We offer a unique opportunity to shape the future of blockchain innovation.

Collaborate with world-class talent in a user-centric organization.

Tackle innovative projects with autonomy in a dynamic environment.

Thrive in a results-driven workplace with opportunities for growth and continuous learning.

Enjoy a flexible work arrangement tailored to your needs.

We are seeking a skilled Machine Learning Engineer to design, build, and deploy production-grade machine learning solutions. This role will drive data-driven insights for our global tower-management platform.

• Ingest and preprocess structured / unstructured data (images, text, time series)
• Engineer and select features to maximize model performance
• Prototype and implement ML algorithms using TensorFlow, PyTorch, or scikit-learn
• Perform hyperparameter tuning, cross-validation, and model selection
• Define evaluation metrics (precision, recall, F1, ROC-AUC) and conduct A/B tests
• Build CI/CD pipelines for data, code, and model artifacts; automate retraining and rollback
• Monitor model performance, data drift, and system health; alert on anomalies
• Document model designs, data schemas, APIs, and runbooks

Requirements:

• 3–5+ years delivering ML into production
• Hands-on with Python and ML libraries (TensorFlow, PyTorch, scikit-learn)
• MLOps tools: MLflow, Kubeflow; cloud deployment (AWS, Azure, GCP)
• Domain experience in computer vision, NLP, or forecasting
• Agile/Scrum collaboration; strong analytic and communication skills

Benefits:

• Competitive basic salary
• Discretionary bonus
• Health insurance
• Life insurance

Job Details:

• Seniority level: Mid-Senior level
• Employment type: Full-time
• Job function: Information Technology, Telecommunications

Join a dynamic team that harnesses the power of data to drive meaningful change.

As a Senior Solution Architect, you will play a pivotal role in shaping the future of data integration and technical sales. Our ideal candidate possesses a unique blend of skills and expertise, with hands-on experience in data management, cloud platforms, and strategic partnerships.

• Build lasting relationships with key stakeholders to identify and deliver joint opportunities.
• Drive customer and partner engagements forward through technical conversations and impactful solution presentations.
• Facilitate workshops and demos to showcase Informatica's value proposition across various industries and use cases.
• Support partners in qualifying customer requirements and assist with RFPs, POCs, and advanced demo creation.

• Bachelor's degree or equivalent in a related field.
• Minimum 5+ years of professional experience in relevant areas.
• Cloud certification in AWS, Azure, or GCP and expertise in cloud-native data technologies.

• Advanced presentation and storytelling abilities.
• Familiarity with Informatica products or similar data integration platforms.
• Knowledge of hybrid deployment models and modern data architectures.

This is an exciting opportunity to leverage your skills and experience in shaping the future of data-driven solutions. If you are a motivated and results-driven individual with a passion for innovation, we encourage you to apply.

Disclaimer: This platform brings job seekers and employers together. Applicants are advised to research the bonafides of the prospective employer independently.

We're seeking a highly skilled Machine Learning Specialist to drive innovation in our organization. As a key member of the team, you'll be responsible for designing, developing, and deploying machine learning models that drive business outcomes.

• Design and implement machine learning algorithms and models for various applications
• Preprocess, clean, and analyze large datasets from diverse sources
• Collaborate with cross-functional teams to define project requirements and success metrics
• Train, test, and evaluate model performance using industry-standard metrics
• Optimize models for scalability and real-time deployment
• Deploy models into production using tools like Docker, Kubernetes, or cloud services
• Monitor and maintain deployed models for accuracy and performance
• Document code, models, and processes for future reference

• Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or related field
• Proven experience with Python and libraries such as TensorFlow, PyTorch, Scikit-learn, etc
• Strong understanding of machine learning algorithms, data structures, and software engineering principles
• Experience with SQL and NoSQL databases
• Familiarity with cloud platforms and MLOps practices
• Excellent problem-solving and analytical skills
• Strong communication and teamwork abilities

• Ph.D. in a related field
• Experience in deep learning, NLP, computer vision, or recommendation systems
• Experience with tools like MLflow, Airflow, or Kubeflow
• Contributions to open-source ML projects or published research papers

Imagine a world where finance and technology merge to create innovative investment solutions. As a Quantitative Investment Associate, you will play a crucial role in developing and managing these cutting-edge strategies.

This is an exciting opportunity for a detail-oriented and ambitious individual who wants to work at the intersection of systematic trading and portfolio management. You will collaborate closely with our Portfolio Manager to support the management of various strategies across digital assets and traditional markets.

Your responsibilities will include conducting quantitative research, assisting in portfolio construction, backtesting, signal validation, optimization, and real-time monitoring. You will also develop and maintain analytics tools for performance, risk, exposure, and funding analysis.

In addition, you will monitor daily P&L, NAV estimates, leverage, margin usage, and drawdowns across strategies. Your macroeconomic, sector, and DeFi-related research will inform investment decisions, and you will prepare investment committee reports and trade rationales.

You will also support due diligence on new trading venues, DeFi protocols, liquidity providers, and custodians. Collaboration with our IT team will be essential for automating workflows, such as reconciliation scripts and data ingestion.

This role requires strong analytical and communication skills, as well as the ability to manage multiple workstreams. A Bachelor's or Master's degree in Finance, Economics, Engineering, or a quantitative discipline is preferred.

We are seeking candidates with 2-5 years of experience in quantitative research or development within a hedge fund, prop desk, family office, or asset manager. Strong grasp of systematic trading and portfolio management techniques is essential. Exposure to or strong interest in digital assets, DeFi, and crypto trading infrastructure is a plus.

A competitive salary and discretionary bonus tied to overall hedge fund performance make this a highly attractive opportunity.

• Conduct quantitative research to support strategy development.
• Assist in portfolio construction, backtesting, signal validation, optimization, and real-time monitoring.
• Develop and maintain analytics tools for performance, risk, exposure, and funding analysis.
• Monitor daily P&L, NAV estimates, leverage, margin usage, and drawdowns across strategies.

We are seeking a skilled People Analytics Specialist to join our team. The ideal candidate will have experience in advanced data analysis and providing actionable insights to drive business decisions.

Job Description:

The People Analytics Specialist will play a crucial role in shaping our talent strategy and enhancing employee experience through data-driven insights. This includes conducting advanced data analysis to identify trends, patterns, and insights related to the employee lifecycle and other HR areas.

Key Responsibilities:

1. Conduct advanced data analysis to identify trends, patterns, and insights related to the employee lifecycle and other HR areas.
2. Develop and deliver compelling data-driven stories that effectively communicate insights to senior audiences.
3. Collaborate proactively with HR Business Partners and CoE teams to provide thought leadership for analysis projects.
4. Stay updated with industry trends and emerging themes in people analytics, identifying opportunities to introduce external perspectives, enhance offerings, and maximize impact.

Requirements:

• Outcome-driven with experience delivering innovative advanced analytical solutions with lasting impact across strategic, operational, and financial dimensions.
• Curious mindset; proactively seeks stories within data.
• Understanding of HR functions, either through hands-on experience or research.
• Experience building relationships and managing internal or external clients.
• Proven ability to develop insights and narratives for executive audiences.

About Us:

We value collaboration, continuous learning, and innovation. Our goal is to empower employees and drive business success through data-driven decision making.

We are seeking an analytical professional to join our team as a Business Analyst Intern. This role offers the opportunity to gain hands-on experience in data analysis, market research, and performance metrics tracking.

• Data Analysis: Collect, organize, and analyze data related to various business operations, including sales, marketing, finance, and customer engagement.
• Market Research: Conduct thorough market research and competitive analysis to identify industry trends, consumer preferences, and emerging opportunities in the sports market.
• Performance Metrics Tracking: Assist in monitoring and evaluating key performance indicators across different departments and functions within the organization.
• Business Process Improvement: Collaborate with colleagues to identify opportunities for process improvement and optimization across various business functions.
• Report Generation and Presentation: Prepare reports, presentations, and dashboards to communicate analytical findings and insights to key stakeholders.
• Cross-Functional Collaboration: Work closely with colleagues from different departments to gather inputs, validate assumptions, and align on strategic objectives.

• Strong analytical and problem-solving skills.
• Proficiency in Microsoft Excel, PowerPoint, and data visualization tools.
• Excellent communication and interpersonal abilities.
• Ability to work independently and in a team environment.
• Familiarity with business analysis concepts and methodologies.
• Eager to learn.

This internship provides a unique opportunity to gain valuable experience, develop analytical skills, and contribute to a dynamic team. You will also have the chance to participate in training sessions, workshops, and mentorship programs designed to enhance your skills and knowledge.