About the Company:

A fast-growing, dialect-focused OTT / digital content platform producing high-quality regional entertainment for millions of users across India and the world. The platform has scaled rapidly since 2019, achieving multi-million downloads and a large paying subscriber base.

The organization focuses on identity-driven content, user-first experiences, and a culture centered on innovation, ownership, and regional storytelling.

Job Summary:

We are looking for an Analytics Engineer to lead data pipeline development, semantic modeling, and visualization initiatives. This role sits at the intersection of data engineering, BI, and product analytics, responsible for building reliable datasets, scalable data models, and dashboards that drive business insights, product strategy, and decision-making.

You will own full-stack data solutions from gathering requirements to building pipelines, data models, and visualization layers closely partnering with product, engineering, and analytics teams.

What You Will Do:

- Design scalable data models that support flexible querying, reporting, and visualization.

- Work with product stakeholders to understand business questions and build advanced analytical solutions.

- Drive automation initiatives to reduce manual data processing and increase analytical efficiency.

- Build reusable frameworks and standards that improve analytical productivity across teams.

- Define and implement analytics development best practices, documentation, and governance.

- Build systems to detect, alert, and troubleshoot data anomalies with root cause analysis.

- Partner with cross-functional teams to prepare data models for new product/feature launches.

- Ensure high data quality and accurate business logic representation in production environments.

- Explore new analytical opportunities using modern engineering approaches.

What You Bring:

- Bachelors degree in Engineering.

- 4- 8 years of experience in BI, Data Engineering, or Analytics Engineering.

- Expert-level SQL skills with strong understanding of data warehousing (star schemas, SCDs, ELT/ETL, MPP databases).

- Hands-on experience with dbt for data transformations.

- Experience building DAGs and processing large data volumes efficiently.

- Strong programming skills in Python / Java / Go with understanding of DS & algorithms.

- Advanced dashboarding experience using Looker / Tableau.

- Experience with cloud analytics tools: Athena, Redshift, BigQuery, Splunk, etc.

- Proficiency with Git and CI/CD best practices.

- Familiarity with Agile development frameworks.

- Strong communication, documentation, and problem-solving capabilities.

- Experience with digital products, subscription platforms, or streaming services is a plus.

- Ability to work independently, manage multiple projects, and ensure high data accuracy.