JOB DESCRIPTION

You are a strategic thinker passionate about driving solutions in Analytics. You have found the right team.

As a/an Associate Analytics Engineer within the Data & Analytics team, you will build analytics-ready data models and a trusted semantic layer that standardizes business metrics. You will translate stakeholder needs into governed datasets and KPI definitions in Snowflake and/or Databricks using SQL as the primary transformation language. You will embed data quality, documentation, and performance best practices so downstream teams can reliably reuse models for self-service reporting.

Job Responsibilities
Lead development of dimensional and/or domain-oriented analytics data models optimized for BI and self-service consumption.
Design and maintain a semantic layer defining standardized metrics, dimensions, entities, and business definitions.
Translate stakeholder requirements into transparent modeling deliverables, including grains, entities, metric logic, and acceptance criteria.




Build transformations primarily in SQL and leverage Python for complex logic, automation, and validation as needed.
Implement data quality controls, including tests, reconciliations, and anomaly checks tied to business-critical metrics.
Collaborate with upstream teams to align source-to-model meaning, including semi-structured and NoSQL data considerations.
Establish modeling standards covering naming conventions, documentation, lineage, metric governance, and change management.
Document curated datasets and produce user guidance to enable correct adoption of semantic definitions.
Support consumers by troubleshooting metric questions and improving usability of downstream analytics products.

Required Qualifications, Capabilities, and Skills
Hold a Master's degree in IT, Computer Science, MIS, Operations Research, or related field plus 3 years of relevant experience, or hold a Bachelor's degree in the same fields plus 5 years of relevant experience.
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📌 Analytics Engineer Bengaluru
🏢 JPMorganChase
📍 Bengaluru