Data Analytics Engineer

Location:
Bengaluru (On-site / Hybrid) Team: Ads & Monetization Data
· Dailyhunt, OneIndia, Nexverse Level: Individual Contributor

Experience:
3+ years Employment type: Full-time

About the role
VerSe Innovation runs Dailyhunt and OneIndia, two of India’s largest content platforms, reaching hundreds of millions of users across 15+ Indian languages, and Nexverse, the ad-exchange and monetization stack that sits on top of them. The data this stack produces is what revenue, yield, and growth decisions are made on. We’re looking for a Data Analytics Engineer who can own the full path from raw data to decision across all three properties: building ETL pipelines and analytical datasets, then shipping the dashboards, automated reports, and KPIs the business acts on. Hands-on, individual contributor, with direct stakeholder exposure. What you’ll do
• Develop and maintain ETL pipelines for data ingestion, transformation, and reporting.
• Build automated reporting solutions and scheduled workflows (cron-based and equivalent orchestration).
• Design and optimize complex SQL queries for analytical workloads, with a focus on query performance and cost.
• Develop dashboards and business reports in Looker and Apache Superset for Ads, Marketing, and Product stakeholders across all three properties.
• Create and maintain analytical datasets and data models that reporting and decision-making run on.
• Perform data validation, reconciliation, and quality checks so numbers hold up under scrutiny.
• Partner with business and product teams to define KPIs and translate requirements into datasets and reports.




• Analyze large datasets to surface business insights and performance metrics, not just deliver tables. What you’ll bring
• 2+ years in data analytics / analytics engineering, ideally in AdTech, digital media, or a high-volume consumer platform.
• Advanced SQL and strong hands-on Python.
• Production experience on GCP, particularly BigQuery.
• Proven dashboarding experience in Looker and Apache Superset.
• Experience building automated ETL and reporting pipelines end to end.
• Working knowledge of contemporary table formats (Iceberg, Delta, Hudi or similar) and query optimization techniques.
• Domain exposure to AdTech and marketing analytics: Google Ad Manager (GAM), Google Analytics (GA), Firebase Analytics.
• A track record of owning data quality and reconciliation, not just moving data. Bonus points
• Power BI or Tableau alongside Looker / Superset.
• Orchestration and data-monitoring frameworks (Airflow, dbt, or similar) beyond cron scheduling.
• Programmatic / ad-exchange data, campaign delivery and yield metrics.
• Interest in the ML / forecasting layer that sits on top of well-modeled data. Areas of expertise: Data Analytics
· Business Intelligence
· Reporting Automation
· ETL Development
· Dashboarding
· AdTech & Marketing Analytics
· Query Performance Optimization
· Stakeholder Reporting
· KPI & Performance Analysis Tech you’ll work with: Advanced SQL
· Python
· GCP
· BigQuery
· Looker
· Apache Superset
· Power BI / Tableau
· Google Ad Manager
· Google Analytics
· Firebase Analytics Thanks and Regards, Suman

📌 Data Analyst (Bengaluru)
🏢 VerSe Innovation
📍 Bengaluru