Eine zielgenaue Bewerbung für diese Stelle — ein maßgeschneiderter Lebenslauf und ein Anschreiben, die genau zur Stellenanzeige passen.
WhyBrilliant is seeking a Senior Growth Analyst to own the end-to-end analytics for its Berlin-based email client product. You will design event tracking, build dashboards, and uncover growth opportunities through cohort analyses and forecasting.
You will work closely with product and marketing, employing SQL in BigQuery, Tableau/Looker dashboards, and Python/R models to drive data-backed decisions and rapid experimentation.
WhyBrilliant is sourcing applicants for this role on behalf of a leading Berlin-based productivity software scale-up. The company's identity may stay confidential until first contact. Atlas, our AI Recruiter, is running this search and will pick the best candidates from Nova's network. The next step is to speak to Nova.
Job Title: Senior Growth Analyst - Spark
Berlin, Germany
Our email client 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 our email client, ensuring every stage from first ad impression to long-term subscription renewal is fully measurable.
Month 1: You will deeply integrate with the product and marketing teams, audit our current data pipelines in BigQuery and tracking setups in Amplitude and AppsFlyer, and identify immediate tracking improvements.
Month 2-3: You will take full ownership of our growth dashboards, design and launch your first batch of A/B tests and quasi-experiments, and establish a standardized methodology for measuring marketing attribution.
By end of Q1: You will have built a reliable, end-to-end subscription analytics framework that clearly connects first-click marketing attribution to long-term cohort retention, enabling swift, data-backed product decisions.
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.