412 Data Insights jobs in the United Arab Emirates

Job Overview:

We are seeking a talented Data Insights Specialist to play a crucial role in supporting our organization's strategic objectives. As a key member of our team, you will lead database design and development efforts, driving innovation and excellence in data management.

Key Responsibilities:

• Align databases with our goals, ensuring they meet organizational and stakeholder needs
• Analyze complex data sets using advanced statistical methods, providing actionable insights to inform decision-making
• Transform raw data into valuable feedback and applications that support business objectives and publications
• Improve data availability and analysis using big data, machine learning, and other techniques
• Extract key economic and financial developments from non-relational databases
• Provide accurate and relevant data analyses to inform reports, studies, bulletins, and other publications
• Maintain data integrity and relevance in all published materials
• Automate data transformation and manipulation to expedite processes
• Recommend improvements to data processes and systems to enhance functionality and support business objectives
• Collaborate closely with internal and external stakeholders to gather requirements, provide feedback, and deliver data-driven insights
• Develop and deliver training programs to effectively communicate data insights to technical and non-technical audiences

Qualifications and Requirements:

• Minimum 5 years of experience in database management, particularly in statistical or financial sectors
• Bachelor's degree in business administration, finance, economics, investment management, or a related field
• Master's degree in statistics, data science, or a related field in database management or statistics
• Excellent communication and writing skills in English; proficiency in Arabic and French is a plus

About the Role:

This is an exciting opportunity for a motivated individual to join our dynamic team and contribute to the success of our organization. If you have a passion for data analysis and want to make a meaningful impact, we encourage you to apply.

We are seeking a highly skilled Analytics Expert to extract actionable insights from our data and drive business decision-making. This role will play a pivotal part in analyzing data, building predictive models, and providing valuable insights to support our business objectives.

The Analytics Expert is responsible for leveraging data analysis, statistical modeling, and machine learning techniques to extract knowledge and insights from data to inform strategic decisions and solve complex business problems.

• Data Analysis: Analyze data to identify trends, patterns, and insights that can drive business decisions.
• Statistical Modeling: Develop statistical models to analyze and interpret data and generate actionable insights.
• Machine Learning: Apply machine learning algorithms to solve complex business problems and build predictive models.
• Data Visualization: Create data visualizations and reports to communicate findings effectively.
• Hypothesis Testing: Conduct hypothesis testing to validate and prove or disprove hypotheses based on data analysis.
• Data Quality: Work with data engineers to ensure data quality and consistency for analysis.
• Documentation: Maintain clear documentation of data analysis, modeling processes, and model performance.

• Proficiency in data analysis tools such as Python, R, or similar.
• Strong knowledge of statistical modeling techniques and tools.
• Proficiency in data visualization tools like Tableau, Power BI, or matplotlib.
• Understanding of hypothesis testing techniques and statistical significance.
• Strong command of API frameworks such as FastAPI, Postman, Swagger.
• Proficiency in SQL for data retrieval and transformation.
• Bachelor's/Master's degree in Data Science, Statistics, Economics, Computer Science, or a related field.
• 2+ years of experience in data science, with a focus on data analysis, statistical modeling, and machine learning.

At our organization, we recognize the value of our employees' contributions and offer opportunities for growth and development. We provide a dynamic work environment where individuals can thrive and reach their full potential.

Our benefits package includes:

• Comprehensive health insurance
• Retirement savings plan
• Flexible working hours
• Professional development opportunities

At our organization, we believe that when our exceptional talent comes together, and wellbeing is a priority – innovation thrives. We are dedicated to promoting and encouraging a healthy work-life balance and adopting a genuinely flexible working model to empower our employees to pursue a balance that suits their personal needs.

An esteemed individual is sought after to spearhead the Data Analytics Unit.

The successful candidate will be responsible for leading the development and execution of advanced analytics capabilities to support informed decision-making. This role entails transforming raw data into actionable insights that drive strategic initiatives across various sectors.

• Strategic Data Leadership: Develop and implement an analytics strategy aligned with organizational goals.
• Advanced Analytics & Insight Generation: Design and execute statistical models and predictive analytics to generate valuable insights.
• Policymaking Support: Provide robust data analysis and scenario modeling to inform evidence-based policies.
• Team Leadership & Capability Development: Foster a culture of analytical excellence, innovation, and continuous learning within a multidisciplinary team.

A master's degree in a quantitative field such as Data Science, Statistics, Economics, or Computer Science is required. The ideal candidate should possess 8+ years of experience in advanced analytics, market research, or economic modeling, with at least 3 years in a leadership role.

• Proven track record of applying data analytics to policy formulation or strategic decision-making.
• Strong proficiency in statistical software, programming languages, and data visualization tools.
• Exceptional ability to translate analytical findings into actionable recommendations for senior decision-makers.

Unlock Business Insights with Data Science Expertise

C5i is a pure-play AI & Analytics provider that combines the power of human perspective with AI technology to deliver trustworthy intelligence. We drive value through comprehensive solutions, integrating multifunctional teams with technical and business domain expertise.

The company caters to large enterprises across various sectors, including Technology, Media, and Telecom (TMT), Pharma & Lifesciences, CPG, Retail, Banking, and more.

Global offices span United States, Canada, United Kingdom, United Arab Emirates, and India.

This role involves building data products to extract valuable business insights. The ideal candidate will be a highly analytical individual with strong problem-solving skills and passion for machine learning and research.

Key Responsibilities

• Undertake data collection, preprocessing, and analysis
• Build models to address business problems
• Present information using data visualization techniques
• Propose solutions and strategies to business challenges
• Collaborate with engineering and product development teams
• Develop machine learning algorithms
• Conduct data-driven experiments to drive business decisions

Required Skills and Qualifications

• Machine learning and operations research with team leading skills
• Proficiency in R, SQL, and Python
• Experience with business intelligence tools (e.g., Tableau, Power BI)
• Analytical mind and business acumen
• Excellent communication and presentation skills

Benefits and Opportunities

Join a dynamic team committed to equal employment opportunity regardless of race, color, religion, sex, sexual orientation, age, marital status, disability, gender identity, etc. If you have a disability or special need, please let us know during the hiring process.

Seniority level: Associate

Employment type: Full-time

Job function: Engineering and Information Technology

Business Consulting and Services

Product Analytics Lead

About the Role

We are seeking an experienced Product Analytics Lead to join our team. As a key member of our product organization, you will lead our product analytics function and oversee user research.

Your primary focus will be on driving deep strategic insights from data that inform product decisions, shape our roadmap, and ultimately improve learner outcomes.

This is a hands-on leadership role where you will coach a small but mighty analytics team and work cross-functionally with product managers, designers, and engineers.

Key Responsibilities:

• Lead and develop our product analytics team ensuring delivery of high-impact actionable insights.
• Oversee the user research function embedding customer insights throughout the product development lifecycle.
• Build and maintain dashboards, KPIs, and data infrastructure to support self-serve and strategic analytics.
• Design and evaluate experiments and causal analyses that inform product decisions and strategy.
• Define and maintain a consistent tracking and event taxonomy across the product.
• Partner with cross-functional teams to define success metrics and measurement plans.
• Translate data and user research into clear, compelling narratives that influence stakeholders.
• Identify new opportunities for leveraging data.
• Forecasting trends, interpreting complex data, and communicating actionable insights to stakeholders.
• Create scalable processes for insight delivery balancing ad-hoc needs with long-term learning goals.
• Currency market leader in talent and growth.

Qualifications:

Must-Have Skills:

• 6 years in product analytics, data science, or insights in a B2B SaaS environment.
• Track record of influencing product or business decisions through proactive insights.
• Strong command of SQL and fluency in at least one analytical language (e.g., Python or R).
• Hands-on experience with product analytics tools (e.g., Mixpanel, Amplitude, Looker, GA).
• Solid understanding of user research methodologies (e.g., interviews, usability tests, surveys).
• Experience leading a team and mentoring junior analysts or researchers.
• Excellent communication and storytelling skills – translating complexity into clarity.

Nice-to-Have:

• Prior ownership of both analytics and user research functions.
• Experience working in low-volume, high-complexity environments (e.g., B2B vs. B2C).
• Familiarity with data pipeline tools (e.g., dbt, BigQuery, Segment).

What Success Looks Like:

• Delivery of high-quality insights that shape product strategy and roadmap decisions.
• Currency market leader in culture of analytics promoting literacy across departments and advocating for robust data governance practices.
• Increased customer understanding across all product teams.
• Scalable systems for measurement and research embedded in team workflows.
• Growing capabilities of the insights team and wider product org.

Benefits:

• Working in a fun & international environment surrounded by a dedicated team.
• Being part of a fast-growing scale-up environment where you can make an impact from day one.
• Free meditation and personal therapy sessions through esteemed partners like Calm and Openup.
• Career framework and growth coaching.
• Develop yourself in the direction you love most. Due to our fast growth, many new opportunities are unfolding quickly.
• Hybrid working policy.
• Monthly dinners.
• Interchangeable Public Holiday Policy.

Remote Work:

No

Employment Type:

Full-time

Job Title: Data Insights Specialist

We are seeking a skilled Data Insights Specialist to join our team. As a key member of our data science unit, you will play a critical role in driving business growth through data-driven insights.

The ideal candidate will have a strong foundation in statistical analysis, machine learning, and data visualization. You will be responsible for collecting, analyzing, and interpreting large datasets to identify trends, patterns, and opportunities for improvement.

Key Responsibilities:

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• Analyzing data to identify trends and patterns using machine learning algorithms
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• Interpreting data with a clear objective in mind
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• Identifying and integrating new datasets that can be leveraged through our product capabilities
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• Conducting exploratory data analysis to identify trends, patterns, and opportunities for improvement
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• Working on Media Mix Models, Full Funnel Model, Multitouch Attribution etc.to optimize the media
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• Devise and utilize algorithms and models to mine data stores, perform data and error analysis to improve models, and clean and validate data for uniformity and accuracy
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• Communicating analytical solutions to stakeholders and implementing improvements as needed
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Requirements:

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• Bachelor's degree in statistics, applied mathematics, or related discipline
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• Minimum of 4-6 years in a similar role
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• Proficiency with data mining, mathematics, and statistical analysis
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• Advanced pattern recognition and predictive modelling experience
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• Experience of Media Mix Models, Multitouch Attribution on the working knowledge
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• Media understanding is preferable
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• Additional skills of Gen AI, NLP, NLU are optional/additional advantage
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• Experience with Excel, Tableau/Looker Studio, SQL, and languages:Python, R
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• Storytelling and Data Visualization
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• Media understanding is preferable
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• Additional skills of Gen AI, NLP, NLU are optional/additional advantage
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• Working knowledge of supervised and unsupervised machine learning techniques such as regression, clustering, classification, decision tree learning, and artificial neural networks
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• Comfort working in a dynamic, data-oriented team with several ongoing concurrent projects
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• Professional certifications in data science
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PREFERRED QUALIFICATIONS

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• Master's degree in stats, applied math, or related discipline
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• Experience with NoSQL, Pig, Hive, and PySpark, Big Query
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We are seeking a detail-oriented and analytical-minded professional to join our team as a Data Analyst. The ideal candidate will have a strong understanding of data analysis techniques, be able to develop new processes, and interpret and communicate data-driven insights.

The role requires excellent problem-solving skills, the ability to work independently, and in a team environment. The successful candidate must also be comfortable working with large datasets and have a curiosity for uncovering patterns from data sets using advanced analytics techniques.

• Bachelor's degree in Computer Science, Mathematics, or a related field
• Proven experience with SQL queries and other scripting languages
• Experience using statistical packages such as R or Python for data analysis
• Strong analytical skills with attention to detail and accuracy
• Curiosity for uncovering patterns from data sets using advanced analytics techniques

Competitive salary offered for this position

Open to considering foreign applicants who meet all the requirements

This role is focused on driving business growth through data analysis and insights. The ideal candidate will have a strong analytical mindset and the ability to collect, organize, and disseminate large volumes of complex data.

• Collaborate with cross-functional teams to identify key performance indicators (KPIs) aligned with organizational goals and objectives.
• Design and implement measurement frameworks to track KPIs across different departments and functions.
• Develop reports, dashboards, and visualizations to communicate KPI results effectively to stakeholders at all levels of the organization.
• Monitor KPI performance against targets and benchmarks, identifying areas of improvement and recommending corrective actions as needed.
• Conduct root cause analysis to understand the drivers behind KPI fluctuations and performance trends.
• Stay updated on industry trends, best practices, and emerging technologies related to performance measurement and analytics.
• Collaborate with IT teams to ensure data integrity, accuracy, and accessibility for KPI reporting and analysis.

• Bachelor's degree in business administration, statistics, mathematics, economics, or a related field. Master's degree preferred.
• Proven experience (5-7 years) in a similar role.
• Strong analytical skills with the ability to collect, organize, analyze, and disseminate large volumes of complex data.
• Proficiency in data visualization tools such as Tableau, Power BI, or similar platforms.
• Advanced Excel skills, including pivot tables, data analysis, and formulae.
• Familiarity with statistical analysis techniques and tools (e.g., R, Python) is a plus.
• Excellent communication skills with the ability to present complex information in a clear and concise manner.

**Job Title:** Data Insights Analyst

A hospitality group in Dubai is seeking a Data Insights Analyst to join their team. As a key member of the business intelligence team, you will be responsible for ensuring data accuracy and creating interactive dashboards using BI tools like Tableau or Power BI.

• Collaborate with senior data analysts and business stakeholders to understand their data needs.
• Create and present clear, compelling visualizations to represent key business metrics and data insights.

• Bachelor's degree in Engineering, Data Science, Data Analytics or any relevant field.
• At least 2 years relevant experience in hospitality industry.
• Must have experience in BI tools (Power BI / Tableau), Excel, Python and R, and e-commerce platform.

• Salary up to 8.5K AED depending on experience and qualifications.
• Uniforms and duty meals provided.

This is a top-tier Hospitality & Leisure group rooted in Dubai, known for its exquisite offerings and unmatched service.