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 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 (Bangalore Metropolitan Area)
🏢 VerSe Innovation
📍 Bangalore Metropolitan Area