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 robust 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 modern 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