Analytics Lead

About the role

This role involves establishing a single source of truth for data, defining key product, growth, and revenue metrics, and ensuring consistent calculations across the company's app portfolio. The Analytics Lead will design the overall analytics system, including how events, attribution, funnels, and reporting are structured, and will decide how data is collected, modeled, and interpreted.

The position requires a hands-on approach, including writing SQL, building various data models (revenue, user acquisition, product insights), and creating dashboards. This individual will partner directly with Growth, User Acquisition, Monetization, and Product teams, acting as a core stakeholder rather than just fulfilling ticket requests. The lead will also guide BI engineers, setting quality standards and supporting their development.

Success in this role means building reusable analytics systems that function across the entire portfolio, not just for individual apps. A critical aspect is owning data quality from start to finish, validating accuracy, proactively identifying inconsistencies, and ensuring all teams rely on the same numbers for decision-making. The ideal candidate can move quickly in evolving environments without needing a perfect specification.

The annual salary for this role ranges from $149,500 to $241,500 USD.

Skills that matter here

• SQL: The role requires extensive hands-on SQL for building models and shipping dashboards, serving as the most technical person in the room.
• analytics: This position is central to defining core product, growth, and revenue metrics and designing the overall analytics system for the company.
• mobile apps: Experience with mobile app KPIs like DAU/MAU, LTV, and retention curves, along with understanding attribution, is mandatory.
• data modeling: The lead will be responsible for building various data models, including those for revenue, user acquisition, and product insights.

Who this role suits

• You have a background in senior analytics or BI leadership with significant hands-on technical work.
• You are comfortable leading a small team while remaining actively involved in day-to-day tasks.
• You possess strong business acumen, always considering the decision a query will enable.
• You are adept at transforming fragmented data into coherent, standardized analytics systems.

From the employer

What you'll be doing

• Build the source of truth.
• Define core product, growth, and revenue metrics - and ensure they’re calculated consistently across every app in the portfolio.
• Design the analytics system.
• Own how events, attribution, funnels, and reporting are structured. Decide how data gets collected, modeled, and interpreted.
• Stay hands-on.
• Write SQL, build models (revenue, UA, product insights), ship dashboards. You're the senior operator, not a layer of oversight.
• Partner across the business.
• Work directly with Growth, UA, Monetisation, and Product as a core stakeholder not a ticket queue.
• Lead the BI team.
• Set direction for our BI engineers, raise the bar on quality, and help them grow.
• Scale across apps.
• Build reusable systems that work portfolio-wide, not one-off solutions for one app.
• Own data quality end-to-end.
• Validate accuracy, catch inconsistencies before stakeholders do, and make sure two teams looking at the same number see the same number.

What you'll need to succeed

• Senior analytics or BI leadership experience with deep, hands-on SQL and modeling work - you've been the most technical person in the room and the one setting direction.
• Mobile app experience is mandatory.
• You've worked with mobile KPIs (DAU/MAU, LTV, ROAS, retention curves) and understand how attribution actually works in practice.
• A track record of building analytics from a messy, fragmented state into something coherent - defining metrics, standardising tracking, getting teams aligned on the same numbers.
• Strong business thinking. You ask "what decision does this unlock?" before "what query do I run?"
• Comfort leading a small team while staying in the work yourself.
• You can move fast in evolving setups without waiting for the perfect spec.

Bonus points for

• Experience scaling analytics across a portfolio of apps or products (not just one).
• Familiarity with dbt, and Metabase - or the appetite to pick them up in week one.
• Familiarity with mobile attribution platforms (Adjust, AppsFlyer, or similar).
• Willingness to experiment with LLMs to automate the boring parts of data work.

You’ll love it here if:

• You prefer freedom and results over fixed schedules and "punching the clock."
• You are naturally curious and enjoy wearing multiple hats.
• You thrive in a drama-free, calm, and systematic problem-solving environment.
• You love challenges and are always ready to roll up your sleeves.
• You want to work with senior people who care about results, not titles.
• Above all, you follow your passion and have fun while doing it.