Analytics Lead

About the role

This role focuses on establishing a single source of truth for BlueThrone's data. The Analytics Lead will be responsible for defining key product, growth, and revenue metrics, ensuring consistent calculation across all applications in the portfolio. This involves designing the entire analytics system, including how events, attribution, funnels, and reporting are structured, and deciding on data collection, modeling, and interpretation methods.

The position requires a hands-on approach, involving direct work with SQL, building various data models (revenue, user acquisition, product insights), and creating dashboards. This is not a purely oversight role; the lead is expected to be a senior operator. Collaboration is key, as the Analytics Lead will partner directly with Growth, User Acquisition, Monetization, and Product teams, acting as a core stakeholder rather than just fulfilling ticket requests.

A significant part of the role involves leading the Business Intelligence team, setting their direction, and improving the quality of their work while supporting their growth. The lead will also focus on building reusable systems that function across the entire portfolio of apps, not just single solutions. Ensuring end-to-end data quality, validating accuracy, and proactively catching inconsistencies are crucial responsibilities.

The salary for this position ranges from $149,500 to $241,500 USD annually.

Skills that matter here

• SQL: The role requires deep, hands-on SQL experience for data manipulation, modeling, and dashboard creation.
• analytics: This position involves defining core metrics, designing analytics systems, and interpreting data for business insights.
• mobile apps: Mandatory experience with mobile app KPIs and understanding how attribution works in a mobile context is essential.
• data modeling: The lead will build 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 possess a track record of transforming messy, fragmented data into clear, standardized analytics.
• You are comfortable leading a small team while remaining actively involved in the technical work.
• You prioritize business decisions that data can unlock and can adapt quickly in evolving environments.

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.