About The Opportunity
GreedyGame is a fast-growing tech company in the digital advertising and mobile monetization sector, building data-driven platforms that empower app developers to maximize revenue through intelligent ad placement and user engagement strategies. We operate at the intersection of machine learning, real-time bidding, and behavioral analytics—transforming raw user data into high-impact business outcomes for global partners.
Role & Responsibilities
- Design and build scalable data pipelines to ingest, clean, and transform structured and unstructured data from multiple sources.
- Develop dashboards and visualizations (Power BI/Tableau) to track KPIs around ad performance, user behavior, and revenue trends.
- Perform deep-dive analyses to uncover anomalies, growth levers, and optimization opportunities across campaigns and geographies.
- Collaborate with product and engineering teams to define data requirements, validate model outputs, and drive A/B test design.
- Automate recurring reports using SQL, Python, or R to reduce manual effort and improve data accessibility for non-technical stakeholders.
- Document data dictionaries, lineage, and business logic to ensure consistency and enable cross-functional data literacy.
Skills & Qualifications
- Must-Have
- SQL
- Python
- Power BI
- Tableau
- Excel (Advanced Functions & PivotTables)
- Google Analytics
- BigQuery
- ETL Concepts
- Preferred
- Looker
- Apache Airflow
- Statistical Modeling (Regression, Clustering)
Benefits & Culture Highlights
- Hybrid work model with flexible hours + 2 office days/week in Bangalore or Delhi.
- Impact-driven culture where your insights directly shape product and revenue decisions.
- Access to mentorship, upskilling stipends, and exposure to cutting-edge ad-tech and ML systems.
Skills: design,sql,accessibility,python,tableau,revenue
