Senior Data Analyst

Publicis Digital Experience, a division of Publicis Groupe, is a network of top-tier agencies focused on developing capabilities and solutions to drive growth and provide scaled access to the digital expertise of Publicis Groupe. Our mission is to create value at the intersection of technology and experiences, connecting brands and people. With expertise in consumer engagement, CRM, and commerce, we empower brands and people in a new era of creativity. Our expanding network includes over 5,000 employees across global offices, with agency brands such as Razorfish, Digitas, Arc Worldwide, Saatchi Saatchi X, Plowshare, 3Share, Epsilon Auto, and the Publicis Commerce Exchange.

About the role

The Senior Data Analyst is responsible for transforming CRM and marketing data into clear, defensible business decisions. This role executes analysis with precision, identifying what is working, what is not, and where programs should adjust. 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 where 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
  • Focus on clarity and accuracy; avoid overcomplicating the message

Qualifications

Working Style and Characteristics

• Owns the numbers end-to-end; doesn’t pass along outputs without validating them
• Balances speed with accuracy; moves quickly but not at the expense of correctness
• Comfortable working through ambiguity; can structure unclear questions into defined analysis
• Finds the signal, not just the data; identifies what actually changed and why it matters
• Communicates simply and directly; explains results in plain language
• Stays close to execution; understands how campaigns are deployed and checks that analytics reflects reality
• Flags issues early; raises risks, inconsistencies, or gaps before they become problems

Required Qualifications

• 2–4 years in marketing analytics, CRM analytics, or related field
• Strong SQL skills; able to independently extract, join, and validate data
• Experience analyzing campaign performance across channels
• Proven ability to translate data into business insights
• Experience working with large datasets and complex data structures
• Strong QA mindset; detail-oriented without losing speed
• Clear communication skills; able to simplify complex findings

Preferred Qualifications

• Experience in automotive, CRM, or lifecycle marketing
• Exposure to test/control design and incrementality measurement
• Experience with Databricks, Python, or R for deeper analysis
• Familiarity with Tableau or similar visualization tools (used for communication, not just reporting)

What Success Looks Like

• Your insights lead to changes in targeting, spend, or program structure
• Numbers are trusted; minimal rework or revalidation needed
• Analysis is timely and moves decisions forward
• Stakeholders rely on you to explain “why” not just “what happened”

Benefits

• Monetary assistance and support for Adoption, Surrogacy, and Fertility
• Monetary assistance and support for pet adoption
• Employee Assistance Programs and Health/Wellness/Comfort reimbursements
• Tuition Assistance
• Paid time off including Flexible Time off, Vacation, Annual Sick Days, Volunteer Days, Holiday and Identity days, and more
• Matching Gifts programs
• Flexible working arrangements
• Work Your World Program encouraging employees to work from anywhere in a Publicis Groupe office for up to 6 weeks a year (based upon eligibility)
• Business Resource Groups supporting multiple affinities and alliances
• Medical and voluntary benefits for eligible U.S.-based employees, including:
  • Medical, dental, and vision coverage
  • Disability and 401(k) plans
  • Supplemental medical insurance, transportation and parking benefits, legal benefits, pet insurance, and auto and home insurance

Eligibility for medical and voluntary benefits requires 90 consecutive calendar days of active employment. Freelancers and temporary employees may qualify for select benefits after meeting eligibility criteria.

Pay

Compensation Range: USD $73,150.00 - USD $96,200.00/Annually. Compensation will be determined based on skills, qualifications, and experience of the applicant, along with the requirements of the position.