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
  
  

• 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.
  
  

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

• 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
  
  

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

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

• 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.
  
  

• 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.