Analyst - Beauty/Skincare

We’re a fast-growing, direct-to-consumer (DTC) skincare brand with a mission to deliver high-performing, clean, and effective products. Backed by a loyal community and a passionate team, we are scaling rapidly and building an operational backbone to match our ambitions. 

Barefaced is in a high-growth phase, and we’re looking for a highly analytical, media-savvy Analyst to turn data into clear strategic decisions across acquisition, retention, site experience, and inventory.

You’ll sit at the intersection of paid media performance, attribution modeling, and business P&L—helping us deploy dollars intelligently, scale efficiently, and protect profitability.

This is a fully remote role, open to candidates based in the U.S. who can collaborate across time zones.

• Own and monitor the paid media P&L daily, ensuring marketing spend aligns with contribution margin, CAC, MER, and payback targets.

• Partner with the Growth team to forecast spend and revenue by channel; model upside/downside scenarios based on efficiency and inventory.

• Identify budget reallocation opportunities across Meta, Google, affiliate, and creator programs to maximize profitability.

• Provide weekly margin and channel-mix analyses to leadership, highlighting trends, risks, and optimization levers.

• Lead attribution strategy across first-click, last-click, and modeled platforms (GA4, ad platforms, Northbeam/Triple Whale), reconciling discrepancies and establishing trusted sources of truth.

• Translate attribution insights into budget allocation recommendations that balance growth and profitability.

• Build and maintain channel performance dashboards with clear visibility into CAC, LTV, MER, incrementality, and blended vs. channel metrics.

• Continuously evaluate and test emerging attribution methods.

• Build and maintain dashboards for revenue, conversion rates, CAC/LTV, AOV, repeat rates, cohort performance, and margins.

• Produce weekly and monthly business performance reports with actionable insights.

• Ensure data integrity across UTMs, pixels, GA4 events, and attribution integrations.

• Partner with Email/SMS (Klaviyo, Postscript) to segment audiences, measure flow performance, and improve deliverability and revenue share.

• Analyze cohort behavior to optimize replenishment cadence, retention campaigns, and subscriptions.

• Analyze funnel performance (sessions → PDP → ATC → checkout → purchase), onsite search, and PDP conversion.

• Recommend site tests that improve conversion and AOV, in collaboration with Marketing and Creative.

• Design and run A/B tests with clear hypotheses, proper power, and rigorous interpretation.

• Support rolling forecasts by product and channel; partner with Ops to model stock-out risk, demand shifts, and launch scenarios.

• 3–6 years in analytics, paid media finance, performance marketing, or e-commerce strategy (agency or brand).

• Proven experience owning marketing P&Ls and supporting budget decisions that drive profitable growth.

• Advanced Excel/Google Sheets skills (pivots, lookups, financial modeling).

• Working SQL knowledge for cohort analysis and structured reporting.

• Deep familiarity with attribution platforms (ad platform reporting, Triple Whale, etc.) and ability to reconcile competing models.

• Hands-on experience with Meta/Google Ads, Klaviyo, Shopify data, and lifecycle analytics.

• Experience with Python or dbt for lightweight data manipulation.

• Familiarity with server-side tracking and event modeling.

• Knowledge of affiliate and creator attribution workflows.

• Experience working with rapid-growth DTC brands.

• Comfort building dashboards in Looker, Mode, or Data Studio.

• CAC, MER, ROAS, payback period

• Marketing contribution margin & overall P&L health

• Conversion rate, AOV, blended vs. channel efficiency

• LTV (90/180/365), repeat purchase rate

• Forecast accuracy and spend efficiency