Data Growth Analyst

Life feels bigger, brighter, and better when we move together. Our company exists to capture and harness that energy, turning ordinary days and cities into playgrounds of connection, growth, and joy. We're the spark that ignites movement—for over 1 million Pals across 621+ cities who are ready to get out of their heads and into motion.

We believe fitness is more than a workout. It's a catalyst for community, a launchpad for builders, and a place where passion becomes a real career. We're rewriting the playbook with more color, more movement, and more joy—helping hosts turn their ideas into movements and their movements into thriving businesses.

We're looking for a Data & Growth Analyst to own the analytics backbone of our marketplace. You'll sit within the AI Squad, reporting to the Head of AI, but your work will directly support Product and Growth decisions.

This is a high-ownership role where you'll shape how we measure success, run experiments, and make decisions.

You'll spend your time on problems like:

• Why do hosts in Austin retain better than LA?

• Which discovery surfaces actually drive bookings?

• Where are users dropping off in the funnel — and why?

• Which acquisition channels bring the highest-quality users?

• How do we measure CAC → payback → LTV reliably across channels?

• Own and evolve our marketing attribution framework across web + mobile (GA4, Appsflyer) — we recently discovered 40%+ of sessions were misattributed, and there's more to untangle

• Build reliable source-of-truth dashboards for marketplace health, channel performance, and user behavior

• Define and instrument key product and growth metrics (activation, conversion, retention, repeat bookings)

• Establish our experimentation practice — from hypothesis to analysis and decision-making

• Partner with product and engineering to run rigorous A/B tests across discovery, conversion, and retention flows

• Create lightweight experiment templates, review processes, and documentation standards

• Analyze user and host behavior across cities, cohorts, and segments

• Build cohort-based LTV and payback analysis by channel, city, and segment

• Translate analytical findings into clear recommendations for product, growth, and leadership

• Monitor and report on SEO performance using Google Search Console, GA4, and SEMrush

• Identify technical SEO issues (landing page health, schema, indexing, 404s) and translate them into prioritized engineering tickets

• Measure impact after fixes ship and help the team build an SEO experimentation loop

• Partner with the Head of AI to evaluate the impact of AI-powered features (recommendations, search) using clear metrics and experimentation

• Use AI tools daily to accelerate analysis, debugging, and documentation

• Help the team adopt faster analytics workflows using AI agents and modern tooling

• ~3-5 years in product analytics, growth analytics, or a similar role

• Background in marketplaces or consumer apps where you've run meaningful A/B tests

• Comfort working in a startup environment with ambiguity and fast iteration

• Strong SQL — you write complex queries daily, not occasionally

• Python for analysis (pandas, notebooks) — not expected to be a software engineer, but can wrangle data

• Experience with: BigQuery, Looker or Metabase, Amplitude, GA4

• Bonus: Appsflyer (or another mobile MMP), Google Search Console, SEMrush/Ahrefs

• You use AI tools proactively — ChatGPT, Claude, Cursor, whatever gets the job done faster

• You care about data quality and will dig into pipelines when numbers look off

• You can translate analytical findings into clear recommendations for non-technical stakeholders

• You're comfortable being the first dedicated analyst and building processes from scratch

1. Place of work: Remote
2. Lunch break: 30 minutes
3. Annual paid vacation time: 10 calendar days, request 30 days in advance of first day off.
4. National holidays: Observance of national holidays of Argentina or country.
5. Evaluation of performance and salary raise: Quarterly

• Fully remote position—work from anywhere in Latin America

• Flexible scheduling within core collaboration hours

• Clear promotion path to Partnership Manager (AE) role based on performance

• Early-stage startup exposure