233 Data Analysis Roles jobs in Dubai

Job Description:

Job Title: Data Analytics and Strategy Manager Carat

Work Location: Dubai, UAE

Job Level: Manager

Job Type: Full-time (Hybrid)

About Dentsu International:

Dentsu is one of the largest marketing and advertising groups, providing a full suite of creative, data, technology, and media services to clients across 145 countries.

We empower leading brands to create better customer experiences through digital and creative transformation. Our expertise spans creative excellence, customer engagement, media, enterprise marketing technology, and more, serving a diverse portfolio of Fortune 100 companies and iconic brands worldwide.

Learn more about us here: (Insert link if available)

Role:

The Data and Analytics Strategy Manager leads the agency's data strategy and analytics initiatives. The core responsibility is to develop and implement data-driven strategies to foster business growth and enhance decision-making processes across the organization.

Key Responsibilities:

1. Build strong relationships and collaborate with operational, product, business performance, data science, and data visualization leads.
2. Analyze and correlate data from various sources (research, sales, media metrics, etc.).
3. Produce insights and develop viewpoints based on data outputs.
4. Work with business leads to create data and analytics solutions (e.g., Google Analytics, Data Visualization).
5. Report to the Performance Director to drive performance and business intelligence for clients.
6. Develop and execute the overall data and analytics strategy aligned with company goals.
7. Establish and enforce data governance policies ensuring data quality, consistency, and security.
8. Lead a team of data analysts and data scientists to deliver actionable insights.
9. Collaborate with stakeholders to understand data needs and deliver appropriate solutions.
10. Design measurement frameworks based on goals and KPIs to evaluate data initiatives.
11. Evaluate and adopt the latest data technologies and tools.
12. Coordinate dashboard and report development with the data science team and other leaders.
13. Stay updated on industry trends to improve data strategies and processes, collaborating with partners like Google, Meta, Tableau, Salesforce, etc.

Key Competencies:

• AI & Machine Learning: Design and deploy advanced analytics and ML models (e.g., fraud detection, recommender systems).
• Marketing & Customer Analytics: Campaign measurement, segmentation, churn prediction, customer LTV, media mix modeling, ROI optimization.
• Causal Inference & Statistical Modeling: Impact analysis and marketing event evaluation.

Leadership & Strategy:

• Team Leadership: Manage data scientists, data engineers, and BI analysts.
• Stakeholder Management: Engage with CXOs and business leaders.
• Program & Project Management: Lead end-to-end data science projects across industries and regions.

Tech Stack & Tools:

• Languages: Python, R, SQL, PySpark, Scala.
• ML Frameworks: TensorFlow, Keras, XGBoost, SVM, GBM.
• Platforms & Tools: AWS, GCP, Azure, Snowflake, Databricks, Tableau, SAS.

Industries Served:

Retail, Finance, CPG, Automotive, Technology (highly preferred).

What We Offer:

Financial Compensation:

• Competitive package, annual bonus, and return tickets to home country.

Health & Wellbeing:

• Flexible hybrid work, private healthcare, wellness days.

Company Culture & Perks:

• Diverse, collaborative environment, team socials, casual dress code.

Professional Development:

• Access to Dentsu University, internal mobility, regional exposure.

Diversity & Inclusion:

Dentsu is committed to equity and diversity, fostering an inclusive environment where everyone can bring their whole self to work.

Application Process:

Please apply online. If your profile matches, our recruiters will contact you. If not, your profile will be stored for future opportunities.

Location: Dubai

Brand: Dentsu

Time Type: Full-time

Contract Type: Permanent

Required Experience: Manager

Job Description:

Job Title: Data Analytics and Strategy Manager Carat

Work Location: Dubai, UAE

Job Level: Manager

Job Type: Full-time (Hybrid)

About Dentsu International:

Dentsu is one of the largest marketing and advertising groups, providing a full suite of creative, data, technology, and media services to clients across 145 countries.

We empower leading brands to create better customer experiences through digital and creative transformation. Our expertise spans creative excellence, customer engagement, media, enterprise marketing technology, and more, serving a diverse portfolio of Fortune 100 companies and iconic brands worldwide.

Learn more about us here: (Insert link if available)

Role:

The Data and Analytics Strategy Manager leads the agency's data strategy and analytics initiatives. The core responsibility is to develop and implement data-driven strategies to foster business growth and enhance decision-making processes across the organization.

Key Responsibilities:

• Build strong relationships and collaborate with operational, product, business performance, data science, and data visualization leads.
• Analyze and correlate data from various sources (research, sales, media metrics, etc.).
• Produce insights and develop viewpoints based on data outputs.
• Work with business leads to create data and analytics solutions (e.g., Google Analytics, Data Visualization).
• Report to the Performance Director to drive performance and business intelligence for clients.
• Develop and execute the overall data and analytics strategy aligned with company goals.
• Establish and enforce data governance policies ensuring data quality, consistency, and security.
• Lead a team of data analysts and data scientists to deliver actionable insights.
• Collaborate with stakeholders to understand data needs and deliver appropriate solutions.
• Design measurement frameworks based on goals and KPIs to evaluate data initiatives.
• Evaluate and adopt the latest data technologies and tools.
• Coordinate dashboard and report development with the data science team and other leaders.
• Stay updated on industry trends to improve data strategies and processes, collaborating with partners like Google, Meta, Tableau, Salesforce, etc.

Key Competencies:

• AI & Machine Learning: Design and deploy advanced analytics and ML models (e.g., fraud detection, recommender systems).
• Marketing & Customer Analytics: Campaign measurement, segmentation, churn prediction, customer LTV, media mix modeling, ROI optimization.
• Causal Inference & Statistical Modeling: Impact analysis and marketing event evaluation.

Leadership & Strategy:

• Team Leadership: Manage data scientists, data engineers, and BI analysts.
• Stakeholder Management: Engage with CXOs and business leaders.
• Program & Project Management: Lead end-to-end data science projects across industries and regions.

Tech Stack & Tools:

• Languages: Python, R, SQL, PySpark, Scala.
• ML Frameworks: TensorFlow, Keras, XGBoost, SVM, GBM.
• Platforms & Tools: AWS, GCP, Azure, Snowflake, Databricks, Tableau, SAS.

Industries Served:

Retail, Finance, CPG, Automotive, Technology (highly preferred).

What We Offer:

Financial Compensation:

• Competitive package, annual bonus, and return tickets to home country.

Health & Wellbeing:

• Flexible hybrid work, private healthcare, wellness days.

Company Culture & Perks:

• Diverse, collaborative environment, team socials, casual dress code.

Professional Development:

• Access to Dentsu University, internal mobility, regional exposure.

Diversity & Inclusion:

Dentsu is committed to equity and diversity, fostering an inclusive environment where everyone can bring their whole self to work.

Application Process:

Please apply online. If your profile matches, our recruiters will contact you. If not, your profile will be stored for future opportunities.

Location: Dubai

Brand: Dentsu

Time Type: Full-time

Contract Type: Permanent

Required Experience: Manager

This role involves analyzing and interpreting data related to product development and performance. Insights are provided to support decision-making processes, and contributions are made to the improvement of product strategies.

• Communicate business requirements through clear user stories.
• Analyze customer data to improve customer acquisition and retention.
• Identify trends, patterns, and insights related to product performance.
• Collaborate with cross-functional teams to gather requirements and understand stakeholder needs.
• Support in maintaining backlogs and handling new requests.
• Conduct market research and analysis on competitor products.

• Strong technical knowledge and understanding of business principles.
• Proven track record of delivering data-driven solutions with a customer-first approach.
• Fluent English speaker.
• Previous experience as a Business Analyst or Product Analyst for 3 years.
• In-depth knowledge of Agile (Scrum) process and principles.
• Excellent communication, presentation, and leadership skills.
• Strong organizational and time management skills.
• Strong problem-solving skills.

• Requirement gathering: Skilled at gathering and interpreting requirements from stakeholders.
• Collaboration: Ability to collaborate effectively with cross-functional teams.
• Problem-solving: Capable of identifying product-related challenges and proposing effective solutions.
• Attention to detail: Attentive to details in data analysis and product requirements.
• Time management: Ability to manage time efficiently to meet project deadlines.
• Adaptability: Willingness to adapt to changing project requirements.
• Communication: Excellent communication skills to convey complex information clearly.

• A competitive salary package and performance-based bonuses.
• A globally distributed team with a diverse culture.
• The opportunity to impact millions of people in the region.
• A collaborative and feedback-driven work environment.
• Opportunities for professional growth and development.
• The chance to be part of an innovative company at the cutting edge of the industry.

• Mid-senior level.
• Full-time position.
• Research, analyst, and IT job function.

Job Overview

The role of Data Analyst involves leveraging analytical tools and data platforms to extract valuable insights from raw data. The successful candidate will be responsible for translating data into actionable business intelligence, driving efficiency and growth through informed decision-making.

Key Responsibilities

• Extract key findings from data using advanced analytics techniques.
• Conduct thorough quality control checks to ensure accuracy and reliability of data.
• Investigate anomalies in data and identify opportunities for optimization.
• Design and implement experiments to improve business performance.
• Support the development and analysis of Business Intelligence tools.
• Record and analyze datasets to measure business performance.
• Provide ad hoc data and analysis support as needed.
• Apply industry knowledge to interpret data and inform business decisions.

Required Skills and Qualifications

• Data visualization and interpretation.
• Advanced analytical and technical skills.
• Strong communication and presentation skills.
• Excellent organizational and time management skills.
• Prioritization and project management.
• Data-driven decision making.
• Customer-focused approach.
• Innovative problem-solving.

Benefits and Opportunities

This role offers a unique opportunity to make a meaningful impact on our organization's success. As a Data Analyst, you will have the chance to work with a talented team of professionals, develop your skills and expertise, and contribute to the development of business intelligence solutions that drive growth and improvement.

About the Role

This is a full-time position that requires strong analytical and technical skills, excellent communication and presentation skills, and the ability to work effectively in a fast-paced environment. If you are a motivated and detail-oriented individual who is passionate about data analysis and business intelligence, we encourage you to apply.

Dasseti is a rapidly growing, global fintech that helps institutional investors and investment managers meet data exchange, monitoring, risk management and compliance needs at every stage of the investment lifecycle.

We are seeking a motivated and detail-oriented Data / BI Analyst to join our growing team. This role is ideal for someone with 2 to 4 years of experience in data analysis, business intelligence, or related roles. You will assist in developing dashboards, analysing data, and supporting the reporting needs of both internal teams and clients.

You will work alongside senior analysts and developers, helping to translate business requirements into actionable insights, build visualizations, and maintain data processes.

Key responsibilities and duties

• Support the design and maintenance of BI dashboards and reports in Tableau, Power BI, or similar tools.
• Assist in collecting and analysing business requirements from internal stakeholders.
• Perform data extraction, cleaning, and transformation using SQL and other tools.
• Maintain technical documentation for reporting processes and dashboards.
• Collaborate with the engineering and data teams to ensure data accuracy and consistency.
• Help investigate and resolve data-related issues and inconsistencies.
• Participate in testing and validation of BI solutions.
• Create simple user guides and walkthroughs for internal and client-facing reports.

Skills and background

Education

• Bachelor's degree in Computer Science, Data Science, Information Systems, Engineering, or related fields.

Background, Experience and Knowledge

• 2 to 4 years of experience in data analysis, reporting, or business intelligence roles.
• Hands-on experience with BI tools such as Tableau, Power BI, or equivalent.
• Good working knowledge of SQL for querying and manipulating data.
• Strong attention to detail with an analytical mindset, combined with a passion for crafting visually compelling dashboards that convey data accurately and support storytelling and user engagement.
• Excellent soft skills and a demonstrated ability to multitask and manage time efficiently.
• Comfortable working in a fast-paced environment and open to flexible hours to coordinate with global teams.
• Exposure to data warehousing concepts and cloud platforms (e.g., Fabric, Redshift, BigQuery, or Azure Synapse) is a plus.
• Familiarity with data modeling, ETL processes, and basic scripting (Python or R is a plus).

The above specifications are not intended to reflect all duties to be performed within the job. The incumbent may be required to perform additional duties or projects either arising from the scope of the position or based on Dasseti's overall business needs.

• Entry level

• Full-time

• Research, Analyst, and Information Technology

• Software Development

The Role:

We are seeking a skilled professional to define and document business requirements for data analysis and reporting.

This position involves collaborating with senior stakeholders to create agile development of new visualizations in Tableau dashboards that support large data sets and analytics methodologies.

Key responsibilities include analyzing existing data-collecting and analytics systems, ensuring accuracy of data research and sources, and identifying areas for improvement.

We are seeking a highly skilled Business Intelligence Developer to join our team. The ideal candidate will have extensive experience in designing and developing visually compelling and insightful business intelligence dashboards and reports. They will possess strong proficiency in Power BI, DAX, SQL, and the ability to connect and extract data from diverse sources.

The successful candidate will be responsible for building and maintaining Power BI dashboards, paginated reports, and interactive visuals to meet complex business reporting needs. They will also write advanced DAX expressions to create calculated columns, measures, and KPIs, as well as design and implement robust data models that support performance and scalability.

In addition, they will develop ETL pipelines using SSIS, Azure Data Factory, or similar tools to feed Power BI datasets, integrate with Azure services such as Azure SQL Database, Azure Data Lake Gen2, Azure Key Vault, and Azure Active Directory, and participate in automated SSRS report migration to Power BI Service.

Key Responsibilities:

• Extract, transform, and model data from multiple sources, including ERP systems, Excel, Word documents, and cloud/on-prem databases.
• Build and maintain Power BI dashboards, paginated reports, and interactive visuals to meet complex business reporting needs.
• Write advanced DAX expressions to create calculated columns, measures, and KPIs.
• Design and implement robust data models that support performance and scalability.
• Develop ETL pipelines using SSIS, Azure Data Factory, or similar tools to feed Power BI datasets.

To be successful in this role, you will need:

• A bachelor's degree in Computer Science, Information Systems, or related field.
• Minimum 5 years of Power BI development experience with a strong portfolio of dashboards and reports.
• Proficient in DAX, Power Query, and M language.
• Strong SQL skills and experience working with Azure SQL Database or on-prem SQL Server.
• Familiar with Azure/Fabric ecosystem tools such as Microsoft Fabric One Lake.

As a member of our team, you will enjoy:

• Opportunity to work on cutting-edge Azure BI stack.
• Collaborative and supportive team environment.
• Exposure to complex data ecosystems and enterprise systems.

As a Customer Insights Analyst, you will play a pivotal role in helping us truly understand our customers and turn their feedback into actionable insights. You will combine advanced analytics with hands-on management of review and survey platforms to drive business decisions.

• Review Platform Management:
• Monitor customer review platforms, ensuring timely responses and brand-aligned tone.
• Track ratings, sentiment, and recurring themes - both qualitative and quantitative - and escalate key issues or wins.
• Design and maintain a sentiment analysis process (manual + AI-driven) to track changes over time.
• Identify opportunities to proactively encourage positive reviews and address root causes of negative ones.
• Data Infrastructure & Reporting:
• Build our customer experience reporting suite from scratch, mapping all relevant data sources.
• Create automated dashboards and reports using Power BI, Tableau, or similar.
• Use advanced Excel (Power Query, VBA, macros) and SQL/Python to process, clean, and analyze large datasets.
• Integrate AI tools for text mining, classification, and predictive analysis of customer feedback.

• Analyze product-related reviews and customer care data to uncover recurring quality issues, functional complaints, and safety-related themes.
• Collaborate with Compliance and Product teams to ensure findings are used to prioritize product fixes, enhancements, or documentation updates.
• Highlight emerging product risks or red flags based on customer sentiment and feedback trends.

• Opportunity to work with a passionate, hard-working team allowing you to learn a wealth of business skills.
• Chance to leave your mark and make a difference to a very exciting company.
• A collaborative environment that enjoys supporting each other achieve ambitious goals.

Join to apply for the Loyalty Business Intelligence & Data Analytics role at Dicetek LLC

Join to apply for the Loyalty Business Intelligence & Data Analytics role at Dicetek LLC

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Job Summary

The Loyalty Business Intelligence & Data Analytics is responsible for driving data strategy, performance analytics, forecasting, and reporting for the loyalty program. The role also manages the Loyalty Management System (LMS), oversees points reconciliation with partners, and ensures fraud prevention and compliance standards are upheld. The position plays a key role in enabling data-driven decisions, managing technical platforms, and supporting strategic initiatives across the loyalty ecosystem.

Job Summary

The Loyalty Business Intelligence & Data Analytics is responsible for driving data strategy, performance analytics, forecasting, and reporting for the loyalty program. The role also manages the Loyalty Management System (LMS), oversees points reconciliation with partners, and ensures fraud prevention and compliance standards are upheld. The position plays a key role in enabling data-driven decisions, managing technical platforms, and supporting strategic initiatives across the loyalty ecosystem.

Key Responsibilities

• Business Intelligence & Reporting
• Develop and maintain performance dashboards, KPIs, and executive reports that monitor program health and ROI.
• Deliver timely, accurate, and actionable insights to business stakeholders and senior leadership.
• Support internal teams with ad-hoc data requests, campaign analysis, and reporting enhancements.
• Forecasting & Data Modelling
• Lead forecasts for member growth, point liability, redemptions, and financial impact.
• Collaborate with Finance to build and validate loyalty-related projections for budgeting and planning.
• Model revenue impact of new campaigns, tier changes, and benefits structure.
• Data Analytics & Optimization
• Analyze member behavior, transactional data, and lifecycle stages to identify retention and upsell opportunities.
• Support CRM personalization strategies through segmentation, cohort analysis, and campaign testing.
• Provide deep-dive analysis on specific loyalty initiatives to inform ongoing improvements.
• Points Reconciliation
• Own and manage monthly/quarterly reconciliation processes with earning and redemption for partners.
• Ensure point balances, liabilities, and transactions are accurate and aligned with contractual agreements.
• Loyalty Management System (LMS) Ownership
• Act as the business owner of the LMS, overseeing configuration, performance, and roadmap enhancements.
• Coordinate with IT, vendors, and business users for smooth integration, upgrades, and support.
• Ensure data integrity and system compliance with business rules and requirements.
• Fraud Prevention & Compliance
• Monitor transactions for unusual or suspicious activity across all loyalty channels (earn, burn, enrollment).
• Work closely with IT Security and Compliance teams to develop and maintain fraud detection frameworks.
• Lead resolution of identified risks and contribute to periodic audits and compliance reviews.
• Special Projects & Strategic Initiatives
• Support in loyalty-linked strategic projects including co-branded credit cards, tier revamps, new market entry, and commercial partner evaluations.
• Support in preparing business cases, and feasibility studies to support key initiatives.
• Collaborate with cross-functional teams and external consultants to ensure successful delivery.
  
  

• Bachelor's in Data Science, Business Analytics, Finance, or a related field.
• 6–10 years of experience in analytics, loyalty programs; at least 3 years in a data-heavy loyalty role.
• Proficiency in data visualization (Power BI, Tableau), and Excel;
• Experience managing or integrating loyalty platforms or CRM systems.
• Familiarity with fraud prevention frameworks and compliance protocols in data and loyalty management.
  
  

• Strong analytical and problem-solving skills
• Exceptional attention to data accuracy and detail
• Understanding of fraud risk indicators and compliance requirements
• Proven project management and cross-functional leadership
• High level of integrity, discretion, and accountability

• Seniority level Not Applicable

• Employment type Contract

• Job function Business Development and Sales
• Industries IT Services and IT Consulting

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