Partner with the marketing team to sharpen day-to-day decision-making — from spend allocation to creative testing to channel mix
Drive analytical culture across the marketing team — through training, self-service tooling, and enablement that turns data into a team capability, not an analyst service
Prioritize and lead deep-dive research into our audience and how each segment translates into long-term unit economics
Build out our AB test evaluation framework across funnels — set methodology, raise the quality bar, accelerate decision velocity
Design and own the monitoring layer for key metrics and early warning signals — dashboards, AI assistants, Slack alerts
Design and evolve scalable, resilient data pipelines that consolidate marketing, product, and payment data into analytics-ready models
Partner with engineering on the quality and transparency of our tracking — from event taxonomy to attribution integrity
Shape team-level standards: which tools we use, how we approach recurring analytical problems, what 'good' looks like for us

2+ years in analytics for consumer apps or digital products, ideally subscription-based
Strong analytical mindset — you decompose metric behavior naturally, separate cohort from calendar effects, and explain complex concepts in plain language
Strong SQL with hands-on experience on large datasets (BigQuery would be a plus)
Proficiency with BI tools (Tableau preferred; Power BI, Looker). A track record of building automated reporting layers would be a plus
Solid grasp of core marketing economics — CPM, LTV, CAC, ROAS — and how they connect to business decisions (performance marketing background would be a plus)
Comfort with experimentation methodology and statistical fundamentals — A/B test design, sample sizing, significance, power, common pitfalls
Working-level Python for data manipulation and lightweight scripting (great if you have)
Hands-on Amplitude experience — both dashboard building and tracking design (great if you have)
Experience with a data transformation tool (dbt, Dataform, SQLMesh) (great if you have)
Data Science fundamentals — forecasting, clustering, basic ML approaches (great if you have)
Experience running monetization experiments (significant plus in a subscription context) (great if you have)
A natural teacher instinct — you proactively level up the team around you, not just deliver numbers

Competitive compensation and a high-impact role
Full ownership of the marketing analytics function
Direct partnership with the CMO and close mentorship from our Data Analytics Lead
Access to internal SKELAR communities across Analytics, Marketing, Product, and Engineering
A meaningful mission: help people live healthier lives every day

Data Analyst

Key skills