Senior Data Analyst - CRM

About the role

A division of Publicis Groupe, Publicis Digital Experience is a network of top-tier agencies designed to develop capabilities and solutions to enable growth and provide scaled access to the digital capabilities of Publicis Groupe in service of our clients. Together, the Publicis Digital Experience portfolio endeavors to create value at the intersection of technology and experiences to connect brands and people. Our model to transform every brand experience will help clients navigate, develop, and activate commerce in a way that will provide them with a future-proof model for modern marketing. With our unique expertise in consumer engagement, CRM, and commerce, Publicis Digital Experience powers brands and empowers people in a new era of creativity. An ever-changing landscape and the need for fluid thinking is just part of our problem‑solving nature. Which means we're untethered from any specific medium or method—we go where ideas will work best. We are an expanding network with more than 5,000 employees, with agency brands throughout our global offices. Publicis Digital Experience brands include Razorfish, Digitas, Arc Worldwide, Saatchi Saatchi X, Plowshare, 3Share, Epsilon Auto and the Publicis Commerce Exchange.

The Senior Data Analyst is responsible for turning CRM and marketing data into clear, defensible business decisions. This role executes analysis with precision while identifying what is working, what is not, and where programs should adjust. This role sits at the center of delivery; ensuring data is accurate, analysis is sound, and outputs are ready to inform decisions. You will support one of our client’s CRM programs across aftersales and retail touchpoints, working across data, analytics, and account teams to ensure programs are measurable, accurate, and improving over time. This is a high‑accountability execution role. You are expected to deliver accurate analysis, surface key insights, and ensure outputs are ready to inform decisions.

Responsibilities

• Performance Measurement and Impact Validation: Ensure programs are measured correctly and results are credible; Analyze CRM performance across channels (direct mail, email, digital); Apply structured measurement approaches (test vs control, pre/post, matched comparisons where applicable); Identify drivers of performance; audience, offer, timing, channel; Translate findings into clear “what to do next” implications.
• Analysis Execution: Own the data and logic behind every output; Write and own SQL queries to extract, join, and validate data across sources; Execute recurring and ad hoc analyses for CRM programs (aftersales and retail support); Ensure all outputs are accurate, complete, and aligned to business logic; Reproduce results consistently; no one‑off logic that cannot be traced.
• Insight Generation: Go beyond dashboards; explain what matters; Build and maintain reporting outputs (Tableau, Excel, etc.), while highlighting key drivers, anomalies, and performance shifts; Provide clear summaries of “what happened” and “why it matters”.
• Data Ownership and Quality: Numbers are trusted because you validate them; Own QA/QC across datasets, queries, and final outputs; Validate campaign counts, audience definitions, and performance metrics; Identify and escalate data inconsistencies early; Ensure alignment between analytics outputs and campaign execution.
• Execution Support Across Teams: Operate within the system, not in isolation; Partner with campaign, account, and data teams to support program execution; Understand how data flows through systems and where issues can occur; Support data pulls, audience validation, and post‑campaign analysis.
• Structured Problem Solving: Turn ambiguity into clear analysis quickly; Break down ambiguous requests into clear analytical steps; Investigate discrepancies and performance issues with a methodical approach; Prioritize practical answers over perfect ones when timelines require it.
• Communication and Deliverables: Make analysis usable; Contribute to decks, summaries, and readouts with clear, concise language; Present findings internally; support client‑facing materials as needed;