data Analyst

Were looking for a curious and technically skilled data Analyst whos fluent in SQL, comfortable with BI tools, and brings an extra edge with data science knowledge. In this role, youll generate business-critical insights and contribute to light modeling projects such as segmentation, or 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 games or apps.
* Monitor, analyze, and visualize campaign performance: ROAS, CPI, LTV, retention.
* Evaluate creative tests and channel efficiency across paid UA platforms (Meta, Google, TikTok, etc.) and support UA and marketing teams with daily dashboards, budget pacing, and insights.
* Work closely with finance and monetization teams to track revenue KPIs.
* Respond to business questions with ad hoc SQL analyses.
* Support forecasting models for LTV, ROI, and spend planning.
* Collaborate on cohort modeling, funnel analysis, and time-series reporting.
* Investigate data anomalies, TEST hypotheses, and answer complex business questions.
* Apply statistical techniques such as regression, cohort analysis, or hypothesis testing. Reporting & Dashboarding
* Write advanced SQL to query large datasets from BigQuery and Snowflake.
* Work closely with BI / data engineering to structure data models for scalable analysis.
* Build, own, and maintain reports in data visualization tools.
* Create automated data pipelines or queries for recurring business reporting.
* Ensure clear, accurate, and accessible data for marketing and finance stakeholders.