Data Analyst Customer Experience

Project overview

Context

The Customer Relationship domain brings together teams responsible for customer insights, pricing, and loyalty program management. Within a specialized digital company, the Customer Analytics Center positions itself as the strategic partner for the Retail Insights CoOE. The ambition is to transform customer satisfaction data into concrete, value-generating action recommendations for retail teams worldwide.

The consultant will leverage strong analytical expertise and strategic vision to optimize the quality of analyses and provide relevant insights for retail teams. In close collaboration with the Retail Insights CoOE teams, they will play a key role in modeling the ROI of satisfaction. The ultimate goal: maximize customer value, optimize in-store operational recommendations, and ensure the reliability of engagement data.

Directly integrated into the team, you will have the opportunity to contribute to success through in-depth analyses of journeys (Digital, Store, Delivery, Circularity) and business impact studies of customer satisfaction.

Missions

Expected Deliverables

Tools & Environment

Working Conditions

Required Skills

• Contribute to NPS analyses (Store, Digital, Delivery, Circularity) and deep dives of the Retail CoOE.
• Cross-reference data from various sources (satisfaction data & operational data) based on briefs framed by Insights Analysts.
• Exploit existing satisfaction data and new technologies to automate recommendations.
• Propose relevant action plans to in-store operational teams on the NPS scope.
• Calculate the correlation between collected satisfaction data and major business KPIs.
• Identify the extent to which satisfaction impacts GMV, average basket size, and churn rate.
• Calculate the added value provided by responses to dissatisfied customers.
• Measure the impact on churn avoidance, retention, and repurchase frequency.
• Design analysis frameworks to extract cross-referenced insights between satisfaction (NPS) and operational performance.
• Work in close collaboration with Insights Analysts and operational teams to qualify needs and translate them into concrete recommendations.
• Contribute to the upskilling of the Insights team on the use of Databricks Genie One.
• Advanced analytical studies: presentation of complex analyses cross-referencing satisfaction and operational data, translated into actionable recommendations for Retail.
• ROI correlation models: dashboards or reports demonstrating the impact of satisfaction (NPS) on GMV and churn.
• Data preparation & documentation: cleaned and reliable datasets. Complete documentation of sources, assumptions, and analysis methods.
• Data processing: advanced mastery of SQL and Python.
• Environment: strong experience with Databricks (knowledge of Databricks Genie One is a plus).
• Customer Data: knowledge of satisfaction data environments (NPS) and their cross-referencing with transactional data.
• Operating mode: full-time mission (5 days/week). Organization with hierarchical reporting to the Customer Analytics Center and functional reporting to the Retail Insights CoOE team.
• Location: position based in Paris.
• Physical presence required 1 day per week for full integration into team rituals.
• Languages: mastery of French (fluent) and professional English mandatory.
• IT: Python
• Expert, SQL
• Expert
• Statistical methods: Correlation / Value Modeling / A/B Test
• Functional: Communication
• Expert, Synthesis Skills
• Expert, Rigor
• Expert, Agile Method
• Advanced

Project details

• Start: flexible
• Remote: hybrid
• Location: Paris, France, FR
• Languages: French