Data Analyst

• 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.

• 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.

• 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 ad hoc analysis.
• Excellent communication skills - able to explain complex data in simple terms.
• Familiarity with tools like Appsflyer, Firebase, Google Ads, Meta Ads- an advantage.
• Experience working with marketing, creative, or monetization teams- an advantage.
• Exposure to financial reporting, revenue forecasting, or cohort-based analysis- an advantage.
• Understanding of DAX, or light Python scripting for automation- an advantage.

Mploy