Betr is looking to transform data into actionable insights that shape strategy and decision-making across the company, with a primary focus on marketing and growth analytics to analyze user acquisition, retention, CRM, and campaign performance.
Requirements
- Advanced SQL and data modeling expertise.
- Strong experience with Power BI (preferred) or similar visualization tools (Tableau, Looker).
- Exposure to predictive modeling and machine learning concepts (e.g., regression, clustering, LTV, churn, or cohort analysis).
- Familiarity with marketing platforms and analytics tools (Google Analytics, Singular, AppsFlyer, Meta Ads, Google Ads, CRM/email platforms).
- Experience with Python or R and predictive model deployment.
- Write efficient SQL queries to extract, transform, and analyze large datasets from data warehouses (e.g., BigQuery).
- Develop clean, intuitive dashboards and visualizations that make complex data accessible to stakeholders.
Responsibilities
- Analyze performance across marketing channels (paid media, organic, CRM, referral, affiliates) to identify growth and retention opportunities.
- Partner with the Growth and CRM teams to evaluate acquisition funnels, retention drivers, and customer lifetime value (LTV).
- Build and maintain automated dashboards and reports in Power BI to track key KPIs.
- Support experimentation and testing (A/B, holdout, incrementality) to measure campaign effectiveness and optimize ROI.
- Develop practical, data-driven models and frameworks to estimate user LTV, churn risk, and player segmentation, helping guide marketing and retention strategies.
- Use statistical and exploratory techniques to identify behavioral patterns that can improve acquisition, engagement, and monetization.
- Write efficient SQL queries to extract, transform, and analyze large datasets from data warehouses (e.g., BigQuery).
Other
- 3+ years in data analytics, business intelligence, or growth analytics, ideally within B2C industries such as gaming, sports, or fintech.
- You can connect marketing performance to business outcomes and uncover the “why” behind the numbers.
- Excellent at translating technical findings into clear, strategic recommendations.
- Proactive, detail-oriented, and eager to explore new ways data can improve decision-making.
- Work in tandem with decision-makers across departments to understand their goals and proactively identify opportunities to leverage data for developing new insights and enhancing business results.
