This is an opportunity to be a part of BCN Data business expanding product data analytics area.

The person in this role will need to:

- Data and analytics experience in business intelligence and/or descriptive, predictive, or prescriptive analytics
- Analytical, interpretive, and problem-solving skills including the proven ability to analyze large amounts of data and synthesize key findings and recommendations
- Work closely with other data scientists, data engineers, machine learning engineers and UI/UX to build and manage end-to-end data product platform
- Proven experience in building algorithms/scenarios to maintain the product data quality & governance
- Analytical Abilities: Strong problem-solving skills and a keen eye for detail in analyzing complex datasets.
- Validate and apply data quality checks while collecting data from different sources
- Builds reusable capabilities that can be used by team members or across service lines
- Gather requirements and business process knowledge to clean & transform the data in a way that s geared towards the needs of end users

About you

- A Bachelor s or Master s degree in Computer Science or related field
- Minimum 3+ years of experience in product data analytics with having proficiency with Python and Advanced SQL queries, Stored procedures, query performance tuning, index maintenance, etc




- Experience in Cloud based data platforms such as AWS/Azure, Setting creation and management is a plus
- Experience over Snowflake is a plus
- Experience of data modeling, data warehousing principles is a plus
- Having experience in manage ETL/ELT processes to ingest and transform large datasets using cloud-native services (e.g., AWS S3, Lambda, Sage maker, EC2 and Airflow
- Product data Analysis: Monitor and analyze KPIs to identify quality defects, uncover insights, and propose data-driven recommendations
- A/B Testing & Experimentation: Design, execute, and evaluate experiments to inform product data improvements and validate hypotheses
- Familiarity with CI/CD pipelines and DevOps practices for data projects is a plus
- Should be a motivated and collaborative team player, who is a role-model and at-cause individual within the team and office
- Excellent oral and written communication skills including the ability to communicate effectively with both technical and non-technical senior stakeholders
- Ability to prioritize projects, manage multiple competing priorities and drive projects to completion under tight deadline

Skills: Devops, Etl, Lambda, Platform Testing, data engineering , product data management , KPI, Aws

Experience: 3.00-4.00 Years

📌 Associate - Platform Data Engineer (Delhi)
🏢 Bain Company India
📍 Delhi