Analytics Solutions Manager- Associate

JPMorganChase; Bengaluru; On-site; INR 800,000 - 1,100,000; Full time

Job summary

JPMorganChase in Bengaluru, India, seeks an Analytics Solutions Manager- Associate to lead the development of analytics data models optimized for BI and self-service consumption. You will translate stakeholder needs into governed datasets and KPI definitions in Snowflake and 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.

Qualifications

• Master's degree in IT/CS/MIS/OR plus 3 years relevant experience, or Bachelor's plus 5 years experience.
• Advanced SQL capability including complex joins, performance tuning, and incremental logic.
• Data modeling across grains, facts/dimensions, conformed dimensions, SCDs, and metric design.
• Semantic layer or metrics framework to standardize KPI logic and definitions.
• Model semi-structured data (e.g., JSON) and NoSQL sources for analytics.
• Snowflake and/or Databricks in an analytics engineering context; practical Python for automation/validation.
• Strong stakeholder partnership and documentation discipline to drive clarity and outcomes.

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 modeling deliverables, including grains, entities, metric logic, and acceptance criteria.
• Build transformations primarily in SQL and use Python for complex logic, automation, and validation.
• Implement data quality controls with tests, reconciliations, and anomaly checks tied to business metrics.
• Optimize model performance in Snowflake and/or Databricks with efficient joins and storage/performance strategies.
• Collaborate with upstream teams to align source-to-model meaning, including semi-structured/NoSQL data considerations.
• Establish modeling standards: naming, documentation, lineage, metric governance, change management.
• Document curated datasets and provide user guidance for correct adoption of semantic definitions.
• Support consumers by troubleshooting metric questions and improving usability of downstream analytics products.

Skills

SQL

Data modeling

Snowflake

Databricks

Python

Stakeholder management

Education

Master's degree in IT/CS/MIS/OR

Bachelor's degree in IT/CS/MIS/OR

Tools

Snowflake

Databricks

Python

Job description

Job Description

If you are a strategic thinker passionate about driving solutions in analytics, you have found the right team.

As an Analytics Solutions Manager- Associate within our analytics organization, you lead development of dimensional and domain-oriented analytics data models optimized for BI and self-service consumption. 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 clear 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.
• Optimize model performance in Snowflake and/or Databricks by applying efficient joins and storage/performance strategies.
• 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.
• Demonstrate advanced SQL capability, including complex joins, performance tuning, and incremental logic.
• Apply strong data modeling expertise across grains, facts/dimensions, conformed dimensions, SCDs, and metric design.
• Build or operate a semantic layer or metrics framework to standardize KPI logic and definitions.
• Model semi-structured data (e.g., JSON) and integrate NoSQL sources for analytics use cases.
• Use Snowflake and/or Databricks effectively in an analytics engineering context and apply practical Python for workflow automation and validation.
• Practice strong stakeholder partnership and documentation discipline to drive clarity, correctness, and measurable outcomes.

Preferred Qualifications, Capabilities, And Skills

• Leverage experience with testing and documentation frameworks for analytics engineering.
• Apply familiarity with BI consumption patterns and tooling concepts (e.g., Tableau, Sigma, Looker).
• Utilize orchestration tooling knowledge (e.g., Airflow, Dagster, ADF) with an SLA and reliability mindset.
• Implement observability practices such as logging, alerting, and operational runbooks for data products.
• Optimize cost and performance trade-offs through pragmatic platform tuning and design decisions.

ABOUT US

JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

About The Team

J.P. Morgan's Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.