Analytics Supervisor

About the role

We are seeking 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.

Responsibilities

• 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.
• Cook up 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.

Qualifications

• 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.
• Ecommerce/retail analytics (enhanced ecommerce, product performance, merchandising/category insights, shopping feeds concepts, retail media measurement).
• 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).

Skills

• Experience with experimentation platforms (Optimizely, VWO, Adobe Target, LaunchDarkly, Convert, or similar).
• Familiarity with privacy-first measurement (consent mode concepts, governance, and platform constraints).

Benefits

• Medical insurance
• Dental insurance
• Vision insurance
• Flexible spending account
• Voluntary life and accident plans
• 401(k) retirement plan with matching

Pay

$85,000 - $100,000 (Pay range is based on a market reference point and potential job offers may vary based on the skills, education, experience and geographic location of the individual candidate. The compensation range reflects base rate only.)

Schedule

Ability to work a hybrid schedule (3 days per week) from our Charleston, SC, Denver, CO or San Diego, CA Office.