Senior Growth Analyst - Spark

Spark is scaling fast, and we need to move from tracking data to aggressively predicting and validating what drives growth. Without this role, our product and marketing teams cannot rapidly iterate, run quasi-experiments, or build the deep causal inference models needed to unlock our next stage of subscription revenue. You will be the critical engine that turns raw user touchpoints into strategic, high-impact product decisions.

You will own the entire growth loop analytics for Spark, ensuring every stage from first ad impression to long-term subscription renewal is fully measurable.

• Design robust event tracking structures and instrumentation to ensure flawless measurement across the entire user journey.
• Build and maintain growth dashboards in Tableau or Looker that make acquisition and retention performance crystal clear for cross-functional teams.
• Uncover growth opportunities by digging deep into funnels, user cohorts, and subscription metrics like churn and LTV.
• Design and execute A/B tests, quasi-experiments, and causal inference models to validate marketing and product hypotheses.
• Deploy advanced forecasting models using Python or R to predict long-term subscription dynamics and trend lines.

• Have 5+ years of analytics experience in B2C mobile apps or subscription SaaS.
• Expert-level SQL wizard with hands-on experience in cloud data warehouses like BigQuery.
• Fluent in visualization and product analytics tools like Tableau, Looker, and Amplitude.
• Experienced with mobile marketing attribution mechanics using platforms like AppsFlyer or Adjust.
• Proficient in Python or R for time-series forecasting and causal inference.
• Thrive on high autonomy, taking full personal responsibility for product outcomes.

The company's culture is rooted in deep customer-centricity and continuous professional growth, with a massive emphasis on individual autonomy and ownership. Team members are expected to drive their own initiatives and take full responsibility for product outcomes. Decision-making is highly collaborative yet swift, heavily guided by data analysis, rapid iteration, and continuous experimentation to validate product hypotheses. This role sits at the intersection of product and marketing, demanding a proactive builder who thrives on fast feedback loops and constant adaptation.

• Work in our Berlin office within a culture that prioritizes your professional growth.
• Massive autonomy to drive your own initiatives and experiments.
• A highly collaborative environment that values data-backed, swift decision-making.

SQL · BigQuery · Amplitude · Tableau · Looker · AppsFlyer · A/B Testing · Marketing Attribution · Subscription Analytics · Python · R · Machine Learning · Time-series forecasting · Causal inference · Quasi-experiments

This probably isn't for you if:

• You prefer waiting for tasks to be assigned rather than proactively finding growth opportunities.
• You struggle to make decisions without absolute certainty or dislike rapid, constant iteration.
• You want a pure modeling role without getting your hands dirty with event-tracking design.

If you are ready to own the analytics strategy for a world-class consumer product and drive real, measurable growth, we want to hear from you. Apply today and let's build the future of Spark together.