For companies:
For professionals:
For everyone:
Responsibilities
Want your work to directly influence how a 9-figure brand invests millions in growth?Freebird® is a high-growth DTC brand redefining shaving for millions of people. We have served over 2 million customers and scaled to 9 figures in revenue.We are entering our next phase of profitable scale and are looking for a hands-on Growth Analytics leader to build and run the intelligence engine behind it.This is not a reporting-only role. This is a commercial analytics role at the core of the business.You will build the models, dashboards, and decision frameworks that determine where we scale, where we pull back, and how we increase long-term contribution margin per cohort.Your work will directly influence marketing investment, CAC guardrails, retention-adjusted economics, and 24-month cohort contribution margin performance.The MissionArchitect and operate the intelligence system that guides Freebird’s growth engine.Ensure Freebird grows profitably by aligning how we acquire customers with how they perform over time.In a subscription business, growth is driven by customers, retention, and contribution margin. Paid media impacts CAC. Creative impacts performance. Ecommerce impacts CVR and AOV. Retention impacts churn. Finance owns margin inputs.Left unaligned, this creates drift.You will connect these systems by building a unified measurement and decision layer that links spend, cohort behavior, retention, payback, and contribution margin into a single economic view that leadership can act on.What You’ll DoScale acquisition profitablyGuide and optimize spend so it scales efficiently under contribution margin guardrailsDefine CAC ceilings tied to 12- and 24-month contribution marginModel diminishing returns and marginal efficiency curves to inform budget allocationTranslate attribution constraints and measurement uncertainty into practical, decision-ready frameworksInterpret insights from MMM, incrementality tests, lift studies, or MTA frameworks and translate them into practical budget and investment decisionsIdentify which channels, audiences, creatives, and offers drive the highest-quality cohortsSupport structured validation of new channels before meaningful scaleDeliver clear monthly recommendations on where to scale, hold, or cutIncrease 24-month contribution margin per cohortBuild and maintain 12- and 24-month contribution margin tracking by acquisition cohortDevelop survival curve diagnostics and retention performance visibility across key milestonesOperationalize retention-adjusted CAC and payback thinking into acquisition decisionsIdentify acquisition sources that degrade churn, payback, LTV, or marginEvaluate pricing, discounts, and offers against downstream margin impactCreate cohort-based forecasting views that improve decision quality without turning this role into FP&AOwn measurement infrastructure and dashboards (a meaningful early focus)Own tracking health across ad platforms, GA4, server-side events, ecommerce, and subscription systemsStandardize UTMs, taxonomy, and core metric definitions so performance reporting is trustedPartner with Finance to align revenue, refunds, COGS, and contribution margin inputsBuild automated dashboards and reduce manual reportingCreate a clear source of truth for acquisition efficiency and long-term cohort performanceAnalyze experimentation and performance changes (not designing experiments)Analyze tests and performance shifts across pricing, trial structure, billing cadence, onboarding, churn interventions, win-back, and upsellProvide decision criteria rooted in long-term contribution margin, not isolated metric liftsDeliver clear narratives on what changed, why it changed, and what to do nextWhat Success Looks LikeMarketing efficiency improves year over yearSpend scales confidently under clear contribution margin guardrails24-month contribution margin per cohort increases materiallyRetention-adjusted CAC becomes a core decision metricForecasts and dashboards are trusted across Growth and FinanceGrowth decisions become proactive rather than reactiveManual reporting is substantially reduced through automation and systemizationRequirementsMust-havesStrong track record as a hands-on, high-output analytics operator in growth, marketing analytics, or subscription analyticsDeep fluency in cohort behavior, retention curves, LTV, payback, and contribution margin economicsStrong paid media analytics foundation and understanding of attribution limitationsAdvanced SQL and ability to build scalable dashboards (BI proficiency)Comfort operating in scrappy environments where some reporting starts in spreadsheets and gets systemized over timeStrong communication and collaboration skills: you can explain, debate, and align without being rigid or defensiveIntellectual humility and openness to having assumptions challengedBias toward execution: you ship, iterate, and improve systems continuouslyExposure to MMM, incrementality testing, lift studies, or MTA frameworks and experience translating those insights into marketing investment decisionsExperience linking creative and acquisition inputs to downstream cohort qualityExperience working closely with Finance inputs without turning the role into FP&AThis role is not a fit ifYou are primarily looking to manage a team rather than do the workYou want an environment with extensive resourcing or fully mature data systems on day oneYou prefer presenting strategy without owning the build and executionBenefitsAutonomy with support: real responsibility paired with strong leadershipRemote-first and flexible: work with trust, autonomy, and accountabilityNo politics, just execution: a fast-moving, results-driven cultureMake your mark: help scale a 9-figure brand entering its next phase of growthKind and people-focused: we communicate openly, collaborate deeply, and support one anotherGrowth mindset: we embrace change, never settle, and continuously improveBias for action: we move fast, keep things simple, and innovate without fear
This job post is closed.