Data Analyst

Actively Reviewing the Applications

GreedyGame

India, Karnataka, Bengaluru Full-Time On-site

Posted 1 day ago • Apply by June 14, 2026

Job Description

About The Role

We are looking for a Data Analyst / Data Engineer who is excited to work on large-scale advertising and monetization data. This role will help transform billions of daily events into actionable insights that improve publisher revenue, ad performance, and platform efficiency.

You will work closely with engineering, AdOps, and product teams to build reliable data pipelines, analyze monetization performance, and power data-driven decision making across the platform.

This is an opportunity to work on high-throughput systems processing billions of ad requests, impressions, clicks, and revenue events daily.

Key Responsibilities

Data Pipeline & Infrastructure

Design and maintain scalable data pipelines that process large volumes of ad events such as requests, impressions, clicks, installs, and revenue signals.
Build ETL workflows for ingesting data from ad networks, SDK telemetry, and internal services.
Optimize data warehouse schemas and data models for fast analytics queries.
Monitor and ensure data accuracy, reliability, and latency across pipelines.

Monetization & Product Analytics

Analyze advertising performance metrics such as:

eCPM
Fill Rate
ARPDAU
Impressions / Requests
Revenue per user

Generate insights that help improve publisher monetization and ad yield optimization.
Work with product teams to analyze ad placement performance, user engagement, and revenue trends.

Experimentation & Optimization

Support A/B testing and experimentation around ad formats, placements, and monetization strategies.
Build dashboards and analytics frameworks to measure experiment impact and revenue lift.
Identify opportunities to improve auction efficiency, ad delivery performance, and user experience.

Data Accessibility & Reporting

Build dashboards and data tools used by product, AdOps, and business teams.
Deliver data-driven insights and reports that influence product and monetization decisions.
Help define and maintain key business metrics and tracking standards.

Required Skills

Strong expertise in SQL and data querying
Programming experience with Python / Scala
Experience building ETL pipelines and data workflows
Experience with data warehouses (BigQuery, Snowflake, Redshift, etc.)
Understanding of large-scale event data processing
Experience with dashboarding tools such as Looker, Tableau, Metabase, or Superset
Strong analytical thinking and ability to translate data into business insights

Good to Have