We’re looking for a curious and technically skilled Data Analyst who’s fluent in SQL, comfortable with BI tools, and brings an extra edge with data science knowledge. In this role, you’ll generate business-critical insights and contribute to light modeling projects such as segmentation and LTV forecasting. This is a perfect role for someone who loves diving into data, explaining what matters, and occasionally applying statistical techniques when deeper insights are needed. Business Analytics & Insight
* Analyze user behavior, funnels, monetization, and retention across our apps.
* Evaluate creative tests, campaign performance and channel efficiency across paid UA platforms (Meta, Google, TikTok, etc.).
* Work closely with UA, product, finance and monetization teams to track and improve performance.
* Support forecasting models for LTV, ROI and spend planning.
* Investigate data anomalies, test hypotheses, and answer complex business questions. Reporting & Dashboarding
* Partner with Data Engineers to ensure scalable and clean data models in Snowflake and BigQuery.
* Build, own, and maintain reports in data visualization tools and web-apps.
* Ensure clear, accurate, and accessible data for marketing and finance stakeholders.
* Lead end-to-end analytical initiatives: from data collection and modeling to insight delivery and follow-through.
Requirements: * 2+ years of experience in data analytics or a related role.
* Proficiency in SQL for data querying and exploration.
* Strong analytical skills and business intuition.
* Experience with data visualization tools (e.g.,Power BI, Looker, Tableau).
* Familiarity with Python or other scripting languages for statistical analysis.
* Excellent communication skills – able to explain complex data in simple terms.
* Familiarity with tools like Appsflyer, Firebase, Google Ads, Meta Ads- an advantage.
* Exposure to financial reporting, revenue forecasting, or cohort-based analysis- an advantage.
This position is open to all candidates.