Associate - Analytics Data Engineer
JPMorgan Chase · Posted Oct 26
Global banking, investment, credit card, mortgage, and asset management services
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About the role
The Analytics Engineering team focuses on analytics enablement by designing analytics-ready data models and a trusted semantic layer that standardizes business metrics. The role works with Databricks and Snowflake, using SQL and Python to build governed, reusable datasets and metric definitions. The Associate will partner with stakeholders and upstream engineering teams to ensure data quality, documentation, and consistent KPI definitions across dashboards.
What you will do
- Lead development of analytics data models (dimensional and/or domain-oriented) optimized for reporting, business intelligence, and self-service consumption.
- Design and maintain a semantic layer (standardized metrics, dimensions, entities, and business definitions) to ensure consistency across dashboards and analyses.
- Translate stakeholder requirements into clear modeling deliverables (entities, grains, metric definitions, acceptance criteria).
- Build transformations primarily in SQL, leveraging Python when needed for complex logic, automation, or validation.
- Implement and champion data quality controls (tests, reconciliations, anomaly checks) tied to business-critical metrics.
- Optimize model performance in Snowflake and/or Databricks (efficient joins, partitioning and clustering strategies where applicable, cost/performance trade-offs).
- Collaborate with upstream teams on source system understanding (including semi-structured data and non-relational sources) and ensure analytics models reflect correct business meaning.
- Establish modeling standards: naming conventions, documentation, lineage, metric governance, and change management for semantic definitions.
- Support enablement by documenting curated datasets, creating user guidance, and helping consumers adopt the semantic layer correctly.
Skills used in this role
What the employer is looking for
- Minimum education and experience required: Master’s degree in Information Technology, Computer Science, Management Information Systems, Operations Research or related field of study plus 3 years of experience in the job offered or as Analytics Engineer or related occupation. The employer will alternatively accept a Bachelor’s degree in Information Technology, Computer Science, Management Information Systems, Operations Research or related field of study plus 5 years of experience in the job offered or as Analytics Engineer or related occupation.
- Advanced SQL skills (complex joins, performance tuning, incremental logic).
- Strong understanding of data modeling (facts and dimensions, grains, conformed dimensions, slowly changing dimensions, metric design).
- Demonstrated experience building or operating a semantic layer or metrics framework (tool-agnostic; ability to standardize key performance indicator logic and definitions).
- Comfort working with semi-structured data (JSON) and non-relational sources and modeling them for analytics.
- Exposure to data governance concepts (role-based access control, data classification, lineage, audit requirements).
- Working experience with Snowflake and/or Databricks in an analytics context.
- Practical Python skills for data workflows (validation, automation, notebooks and scripts).
- Ability to partner with stakeholders, clarify ambiguous requirements, and drive to measurable outcomes.
- Strong documentation habits and attention to data correctness.
Preferred qualifications
- Experience with testing and documentation.
- Familiarity with business intelligence tooling and semantic consumption patterns (for example, Tableau, Sigma, or Looker concepts).
- Knowledge of orchestration and observability (for example, Airflow, Dagster, or Azure Data Factory; logging and alerting; service level agreement mindset).
Benefits and support
- Compensation and benefits are detailed in the job posting
About JPMorgan Chase
JPMorgan Chase & Co. is one of the oldest, largest, and most diversified financial services institutions in the world. Operating globally through the J.P. Morgan and Chase brands, the firm provides a comprehensive range of financial solutions including investment banking, consumer and commercial banking, transaction processing, and asset management. Serving millions of consumers and many of the world's most prominent corporate, institutional, and government clients, the company combines deep market expertise with extensive technological investments.
- Industry
- Banking
- Company size
- 320000+ employees
- Founded
- 1799
- Location
- New York, New York, USA
- Funding stage
- Public Company
Leadership
Chairman and Chief Executive Officer
Chief Financial Officer
Chief Operating Officer
Global Chief Information Officer
CEO, Asset & Wealth Management
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