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