Description

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.