Job Description

About the Role

As a BI Analyst, you'll work across our Redshift-based reporting layer and S3 Iceberg models (via Athena) to support both internal initiatives and external clients. You'll own the development of dashboards, deliver analysis that drives product decisions, and contribute to the design and validation of new data models as we bring new providers and systems online.


This role requires strong SQL expertise, confidence navigating modern data lake environments, and the ability to work independently across multiple stakeholders. You'll also serve as a key BI point of contact for a portfolio of clients, guiding them in adopting our data products and making data-driven decisions.

Key Responsibilities

Write and optimise SQL queries across Redshift and Athena (on Apache Iceberg tables) Design, build, and maintain client-facing dashboards using Power BI and Amazon QuickSight Collaborate with the Data Engineering team to validate new data models, identify gaps, and suggest improvements Coordinate with QA and DataOps to investigate and resolve data discrepancies Translate client requests into actionable data solutions -- from quick fixes to model enhancements Act as a BI point of contact for a subset of operators: deliver data walkthroughs, respond to technical questions, and support onboarding Contribute to BI documentation, FAQs, and playbooks to improve self-service and scale insight delivery Perform ad hoc analysis, exploratory data work, and help define metrics used across our reports

What We're Looking For

3+ years of experience as a BI Analyst or Data Analyst in a modern, cloud-based data environment Deep knowledge of SQL -- you can write complex joins, window functions, CTEs, and optimise queries for performance Hands-on experience with Redshift, Athena, or similar cloud warehouses and query engines Comfortable working with partitioned tables, columnar storage (Parquet), and S3 data lakes Experience with at least one BI tool: QuickSight, Power BI, or equivalent Strong communication skills -- ability to present findings to non-technical stakeholders and external clients Self-driven, organised, and comfortable owning deliverables with minimal supervision

Nice to Have

Familiarity with Apache Iceberg, Glue Catalog, or Athena partition strategies Exposure to AWS tools (S3, Redshift, Lambda, CloudWatch) Prior experience supporting external or client-facing analytics use cases Understanding of QA pipelines or test-driven analytics validation

What You'll Get

Work with a modern data stack, Redshift, Iceberg, Flink, Airflow, dbt, Terraform Join a friendly, supportive team that collaborates closely across functions Own real deliverables used by real clients -- no internal-only dashboards gathering dust Competitive salary for the Hyderabad market and opportunities for growth * Remote-flexible, with strong onboarding and team integration support