Analytics Engineer, Associate

JPMorgan Chase

Quick summary

Work type
On-site
Location
Bengaluru, Karnataka, India
Posted
3 days ago

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Salary context

How this pay compares to similar roles

Similar $162k
$118k most similar roles pay here $205k

This listing doesn't post a salary. Most similar roles pay $126,800–$196,476.

Based on 240 similar postings.

Employer

About JPMorgan Chase

JPMorgan Chase & Co. is a global financial services firm and one of the largest banks in the world, offering investment banking, commercial banking, asset management, and consumer financial services.

JPMorgan Chase currently has 436 open roles on FindRole.

Listed pay typically runs $152,000–$215,000 across 230 roles with salary data.

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At a glance

TL;DR · Analytics Engineer, Associate

As an Associate Analytics Engineer in the Data & Analytics team at J.P. Morgan Chase’s Commercial & Investment Bank in Bengaluru, you will develop analytics-ready data models and a semantic layer to standardize business metrics using Snowflake and Databricks with SQL as your primary language. Your daily tasks include translating stakeholder needs into governed datasets, implementing data quality controls, optimizing model performance, and collaborating with upstream teams to ensure accurate source-to-model alignment. You will also establish modeling standards and document curated datasets for downstream analytics products, ensuring reliable reuse by other teams. The role requires advanced SQL skills, strong data modeling expertise, proficiency in Python for automation, and familiarity with BI tools like Tableau and Looker. Additionally, you should have experience with orchestration tools such as Airflow and ADF, and be able to implement observability practices for data products.

What you'll do

  • Lead development of dimensional and domain-oriented analytics data models for BI consumption.
  • Design and maintain a semantic layer defining standardized metrics and business definitions.
  • Translate stakeholder requirements into clear modeling deliverables with acceptance criteria.
  • Build SQL transformations and use Python for complex logic, automation, and validation.
  • Implement data quality controls including tests, reconciliations, and anomaly checks.
  • Optimize model performance in Snowflake/Databricks using efficient joins and storage strategies.

What we're looking for

  • Master’s degree in IT, Computer Science, MIS, Operations Research or related field with 3+ years of experience, or Bachelor’s degree with 5+ years.
  • Advanced SQL skills including complex joins, performance tuning, and incremental logic.
  • Expertise in data modeling across grains, facts/dimensions, conformed dimensions, SCDs, and metric design.
  • Experience building semantic layers or metrics frameworks to standardize KPI definitions.
  • Proficiency with Snowflake and Databricks for analytics engineering tasks.
  • Practical Python skills for workflow automation and validation in an analytics context.

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