ppIf you enjoy turning messy questions into clean numbers - and clean numbers into real decisions - keep reading /p h3About BlueThrone /h3 pBlueThrone acquires and scales profitable mobile apps. /p pWe don’t build from zero. We buy apps with strong potential and turn them into category leaders through better product decisions, smarter monetisation, and disciplined user acquisition. /p pToday, our portfolio generates tens of millions of downloads and serves millions of monthly active users across multiple verticals. We’re profitable, independent, and growing through disciplined bets - not hype. /p pOur teams are small and senior. The same people building the product are also discussing the numbers and making decisions. /p pData sits at the center of everything we do - from retention analysis and pricing experiments to UA scaling and cohort profitability. /p h3Your mission /h3 pAs our Analytics Engineer, you’ll help define how we measure the business. /p pYou’ll work closely with product, monetisation, UA, and finance leads to turn ambiguous questions into clear models and reliable metrics. Your job is to make sure our mobile KPIs are accurate, explainable, and most importantly trusted. /p h3When Leadership Asks /h3 ul liWhy did Week-2 retention drop? /li liIs this cohort actually profitable? /li liCan we safely scale this campaign? /li liDid the pricing experiment improve LTV? /li /ul h3What You’ll Own /h3 ul liStakeholder partnership: Sit with product, finance, UA, and monetisation leads to translate fuzzy business questions into precise analytical requirements. /li liData modelling: Design and maintain the dbt project on BigQuery - dimensional models (fact/dim), incremental loads, reusable macros, thorough tests, and documentation that actually gets read. /li liDashboards self-serve: Build and iterate on Metabase dashboards that give non-technical teams the confidence to make decisions without pinging you for every question. /li liData analysis deep dives: Go beyond building pipelines - dig into the data, investigate anomalies, run ad-hoc analyses,



and surface insights that stakeholders didn't know to ask for. This role is not just about infrastructure; it's about understanding what the numbers mean and why they matter. /li liData quality reliability: Monitor production dbt runs, triage failures, trace issues from the dashboard layer all the way back to raw sources, and communicate impact and resolution to stakeholders. /li liMobile metrics expertise: Be the team's go-to on core mobile KPIs - DAU/MAU, LTV, retention cohorts, ARPU, ROAS - and ensure the models behind them are accurate and trustworthy. /li liProcess improvement: Identify gaps in our data stack or workflows and propose practical solutions. We value people who make the whole team better. /li /ul h3What We’re Looking For /h3 h3Must-haves /h3 ul li5+ years of hands‑on analytics engineering or a senior analyst role with heavy SQL and modelling work. /li liStrong SQL fluency and real experience with a cloud data warehouse (BigQuery preferred; Snowflake or Redshift also fine). You understand partitioning, clustering, and how to write cost‑effective queries at scale. /li li2+ years of production dbt experience: you've built and maintained dimensional models, written incremental models, authored macros, and set up tests that catch real problems. /li liTrack record of building dashboards for non‑technical stakeholders - people who judge your work by whether it helps them make better decisions, not by how clever the SQL is. /li liGenuine curiosity about the data you work with. You don't just build the pipeline and move on - you explore, question, and proactively investigate when something looks off.



We need someone who treats analysis as a core part of the job, not a favor to stakeholders. /li liAbility to ramp up fast on unfamiliar business domains. You ask the right questions and aren't afraid to say “I don’t understand this yet.” /li liClear, concise communicator. You document your models, explain trade‑offs to non‑technical people, and proactively surface blockers. /li /ul h3Nice‑to‑haves /h3 ul liExperience in gaming, mobile apps, or any high‑volume event‑driven data environment. /li liFamiliarity with Metabase (or a willingness to pick it up in week one - it's straightforward). /li liExperience with event tracking design (e.g., working with product/engineering on taxonomy and instrumentation). /li liFamiliarity with mobile attribution platforms (Adjust, AppsFlyer, or similar). /li liWillingness to experiment with LLM for data work automation. /li /ul h3You’ll Love It Here If /h3 ul liYou like small teams, big ownership, and zero bureaucracy. /li liYou get “itchy” when a number doesn't make sense and can’t leave it alone until it does. /li liYou prefer clear thinking and quick decisions over endless meetings. /li liYou’re comfortable wearing multiple hats when the situation calls for it. /li liYou like working with senior people who care about results, not titles. /li liYou believe analytics should change decisions - not just produce charts. /li /ul h3Equal opportunities for everyone /h3 pTo truly represent our vibrant and diverse BlueThrone community, we prioritize diversity and inclusion. We are committed to fostering an environment where everyone can do their best work. We strongly encourage applicants of all backgrounds. We consider all candidates regardless of age, ethnicity, religion, sex, sexual orientation, gender identity, family or parental status, national origin, veteran status, neurodiversity, or disability. If you need reasonable adjustments at any point in the application or interview process, please let us know. /p /p #J-18808-Ljbffr

📌 Analytics Engineer (Barcelona)
🏢 BlueThrone
📍 Barcelona