Senior Data Analyst

Company Description

Founded in 1926, Publicis Groupe is one of the most established and respected communications groups in the world — and today, we’re proud to be the second-largest globally and the most valuable holding company in the industry .

With over 100,000 employees across 100+ countries , we combine the power of creativity, data, media, and technology to drive business transformation for the world’s leading brands.

Publicis Groupe has a thriving and ever-growing presence in the Middle East , driven by exceptional regional talent , world-class agency brands, and a diverse portfolio of forward-thinking clients.

Headquartered in Dubai, UAE , with offices across Saudi Arabia, Jordan, Egypt, Kuwait, Iraq, Lebanon, Turkey, and Qatar , we’re proud to be recognized as one of the most awarded and admired creative networks in the region .

We believe transformation starts with people — their creativity, curiosity, and ambition. That belief powers everything we do, from bold campaigns to breakthrough strategies, always with a human touch.

We Operate Through Four Key Solution Hubs

• Publicis Communications - home to Leo Burnett, Publicis Middle East, Saatchi & Saatchi, and MSL
• Publicis Media - comprised of Digitas, Spark Foundry, Starcom, and Zenith
• Publicis Sapient - our digital business transformation partner
• Epsilon - our data and personalization powerhouse
  
  

Overview

We are hiring a proactive and insights-oriented Senior Data Analyst - Retail, Fuel & Mobility to our client retail operation business. This role will deliver critical business intelligence through sales analytics, customer behavior insights, and data-driven strategy support.

Key Responsibilities

• Analyze customer behavior and sales performance at product, category, and location levels.
• Conduct root cause analysis of performance anomalies and data hygiene issues.
• Generate data-driven recommendations to address business challenges and drive growth.
• Design and execute experiments including A/B testing and surveys to validate business hypotheses.
• Develop and maintain dashboards and automated reports to track KPIs and operational metrics.
• Collaborate with digital, retail, and operations teams to ensure data accuracy and usability.
• Support retail and mobility initiatives by transforming raw data into strategic insights.
  
  

Responsibilities

Technical & Product

• Tools: SQL, Python, R, Power BI, Tableau.
• Platforms: Data IQ
• Capabilities: ML modeling, customer segmentation, forecasting.
  
  

Key Success Metrics displayed previously

• Insights leading to improved sales, category performance, and customer satisfaction
• Timely delivery and adoption of dashboards and reports
• Business impact of experiments and data-driven recommendations
  
  

Business Acumen & Operational Efficiency

• Retail-centric data application.
• Efficient reporting and insight delivery.
• Collaborative work style across digital, retail, and operations teams.
  
  

Innovative & Analytical Mindset

• Root cause analysis and insight storytelling.
• Curious and experimental with data to unlock new insights.
  
  

Qualifications

• Bachelor’s degree in business Analytics, Computer Science, Statistics, or Economics required.
• Master’s degree in data science, Retail Analytics, or Operations Research is preferred.
  
  

Professional Experience

• 6 - 8 years in B2C data analytics, preferably within fuel retail, convenience retail, or mobility sectors.
• Hands-on experience with:
• SQL, Python, R
• BI tools (e.g., Power BI, Tableau)
• Data IQ or equivalent platforms for data preparation and ML modeling
• Strong experience in customer segmentation, behavioural analytics, and sales forecasting.
• Ability to work with cross-functional teams and present technical findings to non-technical stakeholders.
• Exposure to ML model deployment and real-world use case delivery is an advantage.
• Familiarity with retail operations, loyalty programs, or car-service analytics is a plus.
  

Additional Information

R-3067 P-3465