Responsibilities Core 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. Avoids overcomplicating or hiding behind technical detail Stays close to execution Understands how campaigns are actually deployed and checks that analytics reflects reality Flags issues early Raises risks, inconsistencies, or gaps before they become problems in client settings 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 can 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" Additional information The Power of One starts with our people!