143 Data Analytics jobs in Dubai

At Idealz Holding, we're redefining retail with our flagship "Shop & Win" model — transforming everyday shopping into extraordinary winning experiences. With a presence spanning 4 continents and over $100M in prizes awarded, we sit at the intersection of commerce, technology, and data. Data is the heartbeat of our growth — powering smarter decisions, sharper campaigns, and stronger customer loyalty. We're now looking for a Manager – Data Analytics & Insights to unlock opportunities hidden in the numbers and turn them into strategies that fuel expansion.

Role Description

As the Manager – Data Analytics & Insights, you will be responsible for building and optimizing data-driven frameworks that guide decision-making across Idealz. You'll analyze financial, operational, and customer data, design predictive models, and deliver insights that shape campaigns, customer engagement, and revenue strategy. This role is perfect for someone who thrives at the intersection of analytics and business strategy — able to zoom into the data while advising leadership at the highest level.

• Build and manage analytics frameworks, dashboards, and reporting systems for real-time business intelligence.
• Analyze customer behavior, campaign performance, and business KPIs to uncover growth opportunities.
• Develop predictive models and ROI-driven insights to optimize campaigns and product performance.
• Partner with product, marketing, and operations teams to ensure strategies are insight-backed and commercially impactful.
• Monitor key KPIs to drive improvements in conversion, retention, and overall revenue performance.
• Conduct competitive and market analysis to support innovation and expansion strategies.
• Present insights and recommendations to senior leadership, influencing strategic direction.
• Promote a data-first culture across the organization by empowering teams to make informed decisions.
• 6–10 years of experience in data analytics, business insights, or data science, ideally within B2C, retail, e-commerce, or tech-driven businesses.
• Strong skills in SQL, Python/R, and BI tools (Tableau, PowerBI, Looker, etc.).
• Proven ability to translate large, complex datasets into actionable business strategies.
• Experience with predictive modeling, campaign analysis, and customer lifecycle analytics.
• Excellent communication and storytelling ability to influence both technical and non-technical stakeholders.
• Strong business acumen with a deep understanding of customer behavior, funnel optimization, and campaign ROI.
• Bachelor's/Master's degree in Data Science, Statistics, Economics, Business Analytics, or a related field.

• Initial screening with Global Head of HR
• Second interview with Senior Manager – Strategy
• Case study / business analytics assignment
• Interview with General Manager
• Final interview with CEO
• Process typically concludes within 3–4 weeks.

At Idealz Holding, you'll join a fast-paced, global team that thrives on innovation, data, and disruption. This role gives you the opportunity to shape the analytics backbone of a company reinventing retail on a global stage. You'll have the freedom to experiment, the tools to deliver impact, and the platform to influence strategy at the highest level.

• Mid-Senior level

• Full-time

• Information Technology

• Technology, Information and Internet

Referrals increase your chances of interviewing at Idealz Holding. Get notified about new Data Manager jobs in Dubai, United Arab Emirates.

We are seeking an experienced Operations Manager to join our team. The ideal candidate will have a strong background in data analysis, business analytics, and strategic planning.

The Operations Manager will be responsible for identifying trends, issues or gaps, analyzing and coming up with creative ideas to address issues.

• Data-Driven Insights
• Strategic Planning
• Process Design
• Cost Optimization

The successful candidate will have excellent English communication and composition skills, as well as exceptional problem-solving, project management, and analytical skills.

• 3-5 years of experience in fast-growing industries, preferably in the crypto industry
• Past experience in data analytics, business analytics, strategic planning, and/or user operations
• Excellent leadership, problem-solving, and communication skills

• A dynamic and fast-paced work environment
• Ongoing professional development and growth opportunities
• A competitive salary and benefits package

Develop and implement effective data analytics strategies to inform business decisions, enhance operational efficiency, and drive growth.

We empower businesses in the digital economy and we know that every payment counts. Our Payment Performance teams mission is to manage and optimise merchants payment flow to achieve optimal conversion compliance and cost.

is looking for a Data Analytics Manager to join our Payment Success team to craft an all-encompassing payments strategy tailored specifically for our Tier-1 merchants. You will be the main point of contact for a merchant regarding their payment performance. You will play a critical role in defining delivering and building tools for the right insights to showcase the value of our optimal payment strategies.

You will work closely with Payment Performance engineers and data scientists leveraging cutting-edge technology and data insights. You will also collaborate regularly with other teams and cross-functional stakeholders to establish priorities and drive merchant performance improvements.

What youll be doing:

• Deliver expertise and guidance to our key merchants by crafting optimal payments strategy.
• Conduct deep-dive exploratory data analysis to uncover insights and anomalies
• Conduct experiments and A/B tests to improve performance including ML based solutions.
• Develop cutting-edge automation tools aimed at monitoring and optimising merchants performance.
• Implement robust measurements to assess how proposed solutions impact merchants performance and revenue providing valuable insights for both internal and external ROI.
• Collaborate with various teams across the company to ensure an outstanding merchant experience and feed requirements for product development
• Elevate internal awareness particularly within the executive team regarding the full spectrum of merchant services and benefits provided
• Drive a culture of cross-team learning and knowledge sharing

Qualifications :

• 5 years experience as data scientist working with large and diversified data sets
• Payments experience is mandatory for this role
• Bachelors degree preferably in Mathematics / Statistics / Computer Science / Engineering Finance or equivalent
• SQL/ Python knowledge to extract & analyse data from our Data Warehouse
• Experience with Git & Spark Databricks Retool API
• Ability to find creative and effective solutions for business problems
• Flexible adaptable and has a willingness to learn

Additional Information :

Apply without meeting all requirements statement

If you dont meet all the requirements but think you might still be right for the role please apply anyway. Were always keen to speak to people who connect with our mission and values.

We believe in equal opportunities

We work as one team. Wherever you come from. However you identify. And whichever payment method you use.

Our clients come from all over the world and so do we. Hiring hard-working people and giving them a community to thrive in is critical to our success.

When you join our team well empower you to unlock your potential so you can do your best work. Wed love to hear how you think you could make a difference here with us.

We want to set you up for success and make our process as accessible as possible. So let us know in your application or tell your recruiter directly if you need anything to make your experience or working environment more comfortable. Well be happy to support you.

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A Business Intelligence Developer is needed to shape our data and analytics team.

Key Responsibilities:

• Convey actionable insights to customers using data visualization techniques.
• Utilize business acumen and analytical skills to drive data-driven decision making.
• Collaborate with cross-functional teams to develop intuitive, well-planned solutions.

• Proven track record of applying visualization principles and best practices.
• Experience working with client and marketing data.

This role offers opportunities for growth and development across the organization.

For more details about this opportunity, please contact our HR team.

Effective business decisions are crucial for organizational success in today's fast-paced business environment. Professionals need data analysis skills to make informed decisions. This 5-day course will highlight the added value of data analytics as a decision support tool in management.

This course features discussions on data analytics applications, the importance of data, and applying data analytical methods through worked examples.

• Data analytics discussions
• Data significance
• Data application

• Explain data analytics scope and structure
• Apply cross-sections of useful data analytics
• Critically assess statistical evidence
• Identify relevant data analytics applications

• Management support professionals
• Analysts regularly encountering data/analytical information
• Professionals seeking greater decision-making value from data analytics

This course utilizes adult learning techniques for maximum understanding and retention. Daily workshops are highly interactive and participative.

1. Day One: Setting the Statistical Scene in Management
   • Introduction; The quantitative landscape in management
   • Thinking statistically about applications in management
   • The integrative elements of data analytics
   • Data: The raw material of data analytics
   • Exploratory data analysis using Excel
2. Day Two: Evidence-based Observational Decision Making
   • Numeric descriptors to profile sample data
   • Central location measures
   • Quantifying dispersion in sample data
   • Examining distribution measures
   • Exploring relationships between numeric descriptors
3. Day Three: Statistical Decision Making – Drawing Inferences from Sample Data
   • The foundations of statistical inference
   • Quantifying uncertainty in data
   • The importance of sampling in inferential analysis
   • Sampling methods
   • Understanding the sampling distribution concept
4. Day Four: Statistical Decision Making – Drawing Inferences from Hypotheses Testing
   • The rationale of hypotheses testing
   • Hypothesis testing process and types of errors
   • Single population tests
   • Two independent population tests
   • Matched pairs test scenarios
5. Day Five: Predictive Decision Making - Statistical Modeling and Data Mining
   • Exploiting statistical relationships to build prediction-based models
   • Model building using regression analysis
   • Predictive data mining – management applications

Data Analytics Intern

July 2025 - Jan. 2026 (Dubai)

Our company will kick start your career journey within the Pharmaceutical industry. We will empower you to Invent for Life. You will be part of a diverse and inclusive multiskilled team of highly motivated individuals. We keep the patient at the very heart of all that we do and strive to find solutions and treatments for some of the world's most challenging healthcare needs.

• Gain hands-on experience within the pharmaceutical industry
• Ability to grow your potential and be part of a diverse team of employees
• Work within a challenging and dynamic work environment
• Gain strong analytical and problem-solving skills

• As a member of the Commercial Operations department and the Data team, you will have the opportunity to contribute to the transformation, harmonization, and continuous improvement of analysis and insights creation by leveraging innovative data platforms to deliver actionable insights to the business.

• Fluency in English
• Graduating in 2026 or later
• Ability to work 30-40 hours per week
• Skills in data analysis, proficient in Excel
• Preferred experience in visualization tools like Qlik
• Strong analytical mindset, structured and organized, proactive, striving for excellence, self-driven with efficient reporting capability

• Monthly stipend
• Buddy and mentor support during your journey
• Learning opportunities

Current Employees apply HERE

Current Contingent Workers apply HERE

Merck & Co. Inc., Rahway NJ, USA, also known as Merck Sharp & Dohme LLC, Rahway NJ, USA, does not accept unsolicited assistance from search firms for employment opportunities. All CVs/resumes submitted by search firms to any employee at our company without a valid written search agreement in place for this position will be deemed the sole property of our company. No fee will be paid in the event a candidate is hired as a result of an agency referral where no preexisting agreement is in place. Where agency agreements are in place, introductions are position-specific. Please no phone calls or emails.

• Employee Status: Intern/Coop (Fixed Term)
• Relocation: Not applicable
• VISA Sponsorship:
• Travel Requirements:
• Flexible Work Arrangements: Not applicable
• Shift:
• Valid Driving License:
• Hazardous Material(s):
• Job Posting End Date: 05/14/2025

Note: A job posting is effective until 11:59:59 PM on the day before the listed job posting end date. Please ensure you apply before this deadline.

Intern

At Idealz Holding, we’re redefining retail with our flagship “Shop & Win” model — transforming everyday shopping into extraordinary winning experiences. With a presence spanning 4 continents and over $100M in prizes awarded, we sit at the intersection of commerce, technology, and data. Data is the heartbeat of our growth — powering smarter decisions, sharper campaigns, and stronger customer loyalty. We’re now looking for a Manager – Data Analytics & Insights to unlock opportunities hidden in the numbers and turn them into strategies that fuel expansion.

Role Description

As the Manager – Data Analytics & Insights, you will be responsible for building and optimizing data-driven frameworks that guide decision-making across Idealz. You’ll analyze financial, operational, and customer data, design predictive models, and deliver insights that shape campaigns, customer engagement, and revenue strategy. This role is perfect for someone who thrives at the intersection of analytics and business strategy — able to zoom into the data while advising leadership at the highest level.

• Build and manage analytics frameworks, dashboards, and reporting systems for real-time business intelligence.
• Analyze customer behavior, campaign performance, and business KPIs to uncover growth opportunities.
• Develop predictive models and ROI-driven insights to optimize campaigns and product performance.
• Partner with product, marketing, and operations teams to ensure strategies are insight-backed and commercially impactful.
• Monitor key KPIs to drive improvements in conversion, retention, and overall revenue performance.
• Conduct competitive and market analysis to support innovation and expansion strategies.
• Present insights and recommendations to senior leadership, influencing strategic direction.
• Promote a data-first culture across the organization by empowering teams to make informed decisions.
• 6–10 years of experience in data analytics, business insights, or data science, ideally within B2C, retail, e-commerce, or tech-driven businesses.
• Strong skills in SQL, Python/R, and BI tools (Tableau, PowerBI, Looker, etc.).
• Proven ability to translate large, complex datasets into actionable business strategies.
• Experience with predictive modeling, campaign analysis, and customer lifecycle analytics.
• Excellent communication and storytelling ability to influence both technical and non-technical stakeholders.
• Strong business acumen with a deep understanding of customer behavior, funnel optimization, and campaign ROI.
• Bachelor’s/Master’s degree in Data Science, Statistics, Economics, Business Analytics, or a related field.

• Initial screening with Global Head of HR
• Second interview with Senior Manager – Strategy
• Case study / business analytics assignment
• Interview with General Manager
• Final interview with CEO
• Process typically concludes within 3–4 weeks.

At Idealz Holding, you’ll join a fast-paced, global team that thrives on innovation, data, and disruption. This role gives you the opportunity to shape the analytics backbone of a company reinventing retail on a global stage. You’ll have the freedom to experiment, the tools to deliver impact, and the platform to influence strategy at the highest level.

• Mid-Senior level

• Full-time

• Information Technology

• Technology, Information and Internet

Referrals increase your chances of interviewing at Idealz Holding. Get notified about new Data Manager jobs in Dubai, United Arab Emirates.

Job Summary

We are seeking a seasoned data scientist to drive our analytics practice forward. The ideal candidate will have extensive experience in leading data science teams and developing innovative solutions.

• Develop and implement advanced data analytics strategies
• Leverage expertise in machine learning and statistical analysis to drive business growth
• Pioneer new analytics use cases and projects, driving the growth of our analytics practice

Key Responsibilities:

• Lead cross-functional teams in developing and executing data-driven initiatives
• Drive business growth through strategic data analytics and insights
• Collaborate with stakeholders to identify and prioritize key business objectives

• Design and implement advanced analytics frameworks to drive business outcomes
• Develop and maintain predictive models to inform business decisions
• Identify areas for process improvement and implement changes to optimize analytics efficiency

• Engage with clients to understand their business needs and develop tailored analytics solutions
• Brief clients on project status, findings, and recommendations

• Strong technical skills in data science, including proficiency in Python, R, SQL, and Tableau
• Experience with big data technologies (e.g., Hadoop, Spark) is a plus
• Excellent leadership, communication, and problem-solving skills

• Bachelor's degree in computer science, statistics, mathematics, or related field
• Post Graduate degree in Computer Science will be an added advantage
• Experience with predictive modeling, machine learning, and data governance is a plus