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Requirements and responsibilities
About the companyYou've never worked for a company quite like Pearmill. We're a bunch of eclectic folks paving our own path in the world of technology, marketing, and advertising.We're a diverse group of designers, engineers, and marketers from across the world, working together to help grow challenger brands and fast-growing startups through art and technology.Pearmill is a performance marketing agency that outperforms expectations, using data-driven insights and relentless innovation for exponential growth.About the roleWe're looking for an Analytics Lead to own the full measurement stack — from the pixels firing on a client's checkout page to the incrementality test that tells us whether that Meta campaign is actually moving the needle. This is a player-coach role: you'll set the measurement philosophy and learning agenda for the agency, manage a junior tracking specialist who handles hands-on QA and implementation, and work directly with client teams to translate data into decisions.This role sits at the intersection of analytics engineering, measurement science, and performance strategy. You won't just build dashboards — you'll design the tests that prove whether our work is working.What you'll ownTracking & data infrastructureOwn the end-to-end tracking architecture across all client accounts: Google Tag Manager, GA4, CDPs (Segment, RudderStack, Teleaum, etc.), Meta Pixel + CAPI, Google Ads Enhanced Conversions, TikTok Events API, and any other ad network data pipelines — and be well versed enough in these systems to support clients hands-on with implementationDefine tagging standards, naming conventions, and data layer specifications for new client onboardingReview and sign off on all pixel/tag implementations done by the junior tracking specialist before anything goes liveLead tracking QA processes: diagnose misfires, validate conversion events, and ensure data integrity across environments (dev, staging, production)Own server-side tracking setups and consent-mode configurations as privacy requirements evolveMeasurement frameworks & strategyBuild measurement plans for every client: define the KPIs that actually matter, the attribution approach best suited to their funnel, and the testing roadmap for the next 6–12 monthsDesign and run incrementality tests — geo-based holdouts, PSA holdout tests, conversion lift studies — and translate results into media budget recommendationsInterpret and pressure-test platform-reported metrics (Meta Ads Manager, Google Ads, etc.); challenge results that don't hold up to scrutinyLead or collaborate on Marketing Mix Modeling (MMM) engagements — either scoping vendor-run models or building lightweight versions in-houseOwn the cross-channel attribution model: evaluate last-click vs. data-driven vs. time-decay approaches per client context and document your rationaleReporting & insightsBuild and maintain executive-level dashboards (Looker Studio, Looker, Power BI, or equivalent) that go beyond vanity metrics to show incremental business impactEstablish a regular reporting cadence: weekly performance pulse, monthly deep-dives, and quarterly measurement reviews with clientsWrite clear, opinionated insight narratives — not just charts — that connect data to the decisions clients need to makeTeam & practice developmentManage one junior Analytics/Tracking Specialist: set their priorities, review their work, give them a clear growth pathBuild the analytics practice playbook: onboarding templates, tracking specs, measurement plan frameworks, experiment design guidesStay current on the ad platform measurement landscape — platform pixel changes, consent/privacy shifts, new incrementality products from Meta, Google, TikTok — and update internal practices accordinglyYou're a strong fit if you have4–7 years of experience in marketing analytics, measurement, or marketing science at a performance agency or fast-moving in-house growth teamHands-on GTM expertise: you've built complex container setups yourself, not just documented them for a developerReal incrementality testing experience — you've designed a geo holdout or conversion lift test, run it, and presented the results to a skeptical clientSolid understanding of the full ad network measurement stack: Meta CAPI, Google Enhanced Conversions, GA4 event model, server-side tagging, and how privacy regulations affect all of itProficiency in SQL — you can write your own queries to pull and validate raw data without asking a data engineerAbility to communicate complex findings to non-technical stakeholders without dumbing them down or losing accuracyComfortable being the final word on "is our tracking trustworthy?" for a portfolio of clients simultaneouslyBonus pointsPython or R experience for statistical modeling or automationExperience building or interpreting Marketing Mix ModelsFamiliarity with measurement platforms like Northbeam, Triple Whale, Measured, or RockerboxPrior experience managing or mentoring a junior analystWhat this role is notThis is not a pure data engineer role — you won't spend all day writing pipelines. It's also not a media buyer role — you won't own campaign execution. You're the person between the two: you make sure the data is trustworthy, and then you use that data to tell us what's actually working.Diversity, Equity, and InclusionPearmill is a diverse company with team members hailing from all backgrounds and walks of life. We’re a globally-distributed team and committed to continuing to build a company that represents the world we live in. We encourage candidates of underrepresented groups to apply.
Optionally, you can add more information later (benefits, pre-screening questions, etc.)