Pearmill
Analytics Lead
2mo ago
USALeadRemotegoogle tag managerga4segmentrudderstackmeta pixelcapigoogle adstiktok events api
Lead analytics efforts including measurement strategy, data infrastructure, and client-facing data-driven decision making in a performance marketing agency.
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.
Responsibilities
- 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.
Requirements
- 4–7 years of experience in marketing analytics, measurement, or marketing science at a performance agency or fast-moving in-house growth team
- Hands-on GTM expertise: you've built complex container setups yourself, not just documented them for a developer
- Real incrementality testing experience — you've designed a geo holdout or conversion lift test, run it, and presented the results to a skeptical client
- Solid 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 it
- Proficiency in SQL — you can write your own queries to pull and validate raw data without asking a data engineer
- Ability to communicate complex findings to non-technical stakeholders without dumbing them down or losing accuracy
- Comfortable being the final word on "is our tracking trustworthy?" for a portfolio of clients simultaneously
Nice to have
- Python or R experience for statistical modeling or automation
- Experience building or interpreting Marketing Mix Models
- Familiarity with measurement platforms like Northbeam, Triple Whale, Measured, or Rockerbox
- Prior experience managing or mentoring a junior analyst
Other
- 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
- 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
- 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
- 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
- This 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.
- Type: Full-Time · Location: Remote (North America, Western Europe)
- Pearmill 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.