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We are looking for an Analytics Supervisor to lead measurement, analysis, and insights across paid, earned, and owned marketing initiatives. This is a hands-on, client-facing role for someone who can translate business goals into a practical measurement plan, ensure tracking is implemented correctly, data is comprehensive and accurate, and insights are robust and actionable. Media experience is vital. Retail/ecommerce and commerce measurement experience is a strong plus. You’ll partner closely with Paid Media, SEO, CX/CRO, and Engineering/Development to ensure we have trustworthy data and a clear story about what’s driving performance.
Job Responsibility:
Measurement strategy and instrumentation
Own measurement approaches for multi-channel programs (Paid Search, Paid Social, Programmatic/Display/CTV, Retail Media) including KPIs, naming conventions, attribution considerations, and reporting requirements
Lead analytics implementations and upgrades: event schemas, GA4 configuration, GTM and data layer requirements, conversions, cross-domain tracking, enhanced ecommerce, and QA/debugging
Coordinate and document tagging and tracking parameter governance (UTMs, click IDs, Floodlight/CM360 concepts if applicable, platform conversion tracking, offline conversion support where relevant)
Insights, reporting, and executive-ready storytelling
Build and maintain dashboards and reporting frameworks (Looker Studio/Tableau or similar) that connect media delivery to onsite behavior and business outcomes
Deliver recurring performance reporting and ad hoc deep dives, with clear findings, implications, and recommendations
Develop analysis that connects user behavior to outcomes: funnels, pathing, cohort/retention, landing page performance, product/category insights, and conversion drivers
Experimentation and optimization
Partner with CRO and Experience teams to design measurement for experiments and interpret results (A/B tests, landing page tests, audience tests, incrementality-informed thinking where appropriate)
Help teams prioritize optimization opportunities based on impact, effort, and confidence
Automation and data quality
Identify and implement process efficiencies (automation, templated reporting, streamlined QA, scalable data pulls)
Set standards for data QA, documentation, and repeatable delivery across accounts
Leadership
Mentor and QA the work of analysts, ensuring high quality outputs and consistent methods
Support resourcing, workflow, and delivery timelines across your book of business
Requirements:
Bachelor’s degree in mathematics, statistics, business, marketing, or other related discipline (with relevant work experience)
5+ years in analytics/measurement in an agency, consultancy, or in-house performance marketing environment, with substantial paid media exposure
Dashboarding and reporting proficiency (Tableau, Power BI, or similar) with an emphasis on stakeholder-ready communication
Strong web analytics background (GA4 and/or Adobe Analytics), including event-based measurement design and implementation oversight
Tagging and implementation knowledge: GTM, data layers, conversion tracking, debugging/validation, and partnering effectively with developers
Experience developing measurement and reporting approaches for paid media programs across channels (Search, Social, Display/Programmatic
CTV and Retail Media exposure is a plus)
Comfort working with data beyond a UI: exports, basic SQL concepts, spreadsheets, and structured problem solving
Ability to work a hybrid schedule (3 days per week) from our Charleston, SC, Denver, CO or San Diego, CA Office
Excellent communication skills with the ability to explain technical topics to non-technical audiences
BigQuery experience (GA4 export, data modeling for reporting, joining platform and onsite datasets)
CDP and tag management platforms (Tealium iQ/AudienceStream, Segment, mParticle) and/or server-side tagging
Ad serving and measurement platforms (CM360/Floodlight concepts, SA360/DV360 familiarity) and major paid platforms (Google Ads, Meta, TikTok, Amazon Ads)
Experience with experimentation platforms (Optimizely, VWO, Adobe Target, LaunchDarkly, Convert, or similar)
Familiarity with privacy-first measurement (consent mode concepts, governance, and platform constraints)
Bonus points if you’re bilingual in Spanish and/or Portuguese