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Analytics Lead

Pearmill
CompanyPearmill
CategoryData & Analytics
LocationRemote (US)
RemoteRemote
EmploymentNot stated
LevelLead
SalaryNot stated by the employer
Posted5 May 2026
Last verified30 Jul 2026
SourceEmployer career page (ashby)
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Description
About the company You'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 role We'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 OWN TRACKING & DATA INFRASTRUCTURE - Own 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 implementation - Define tagging standards, naming conventions, and data layer specifications for new client onboarding - Review and sign off on all pixel/tag implementations done by the junior tracking specialist before anything goes live - Lead 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 evolve MEASUREMENT FRAMEWORKS & STRATEGY - Build 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 months - Design and run incrementality tests — geo-based holdouts, PSA holdout tests, conversion lift studies — and translate results into media budget recommendations - Interpret and pressure-test platform-reported metrics (Meta Ads Manager, Google Ads, etc.); challenge results that don't hold up to scrutiny - Lead or collaborate on Marketing Mix Modeling (MMM) engagements — either scoping vendor-run models or building lightweight versions in-house - Own the cross-channel attribution model: evaluate last-click vs. data-driven vs. time-decay approaches per client context and document your rationale REPORTING & INSIGHTS - Build and maintain executive-level dashboards (Looker Studio, Looker, Power BI, or equivalent) that go beyond vanity metrics to show incremental business impact - Establish a regular reporting cadence: weekly performance pulse, monthly deep-dives, and quarterly measurement reviews with clients - Write clear, opinionated insight narratives — not just charts — that connect data to the decisions clients need to make TEAM & PRACTICE DEVELOPMENT - Manage one junior Analytics/Tracking Specialist: set their priorities, review their work, give them a clear growth path - Build the analytics practice playbook: onboarding templates, tracking specs, measurement plan frameworks, experiment design guides - Stay current on the ad platform measurement landscape — platform pixel changes, consent/privacy shifts, new incrementality products from Meta, Google, TikTok — and update internal practices accordingly YOU'RE A STRONG FIT IF YOU HAVE - 4–7 years of experience in marketing analytics, measurement, or marke
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