HR BI Developer Associate

JPMorgan Chase & Co.; Wilmington (DE); On-site; USD 70,000 - 97,000; Full time

Job summary

JPMorgan Chase & Co. is seeking an Associate – Business Intelligence within the Employee Experience organization to deliver analytics solutions for HR and business teams.

You will contribute to building dashboards, reporting, and curated datasets, while keeping BI products running smoothly and ensuring data quality. You will collaborate with stakeholders to translate questions into insights, support the adoption of cloud-based BI platforms, and participate in agile delivery across development

Qualifications

• Bachelor’s degree in Computer Science, Information Systems, Business Analytics, or a related field.
• 2+ years of experience in Business Intelligence, data analysis, or a related role.
• Familiarity with cloud-based BI tools and platforms.
• Foundational understanding of data visualization, dashboard design, and self-service analytics concepts, ideally with Tableau, Snowflake, or Sigma.

Responsibilities

• Build and Enhance BI Products: Contribute to the design, development, and delivery of dashboards, reports, and curated datasets that support workforce and employee experience insights.
• Support Ad Hoc Reporting & Stakeholder Requests: Produce timely, accurate one-off analyses and recurring reports to answer evolving business questions, including quick-turn requests and executive-ready outputs.
• Maintain and Improve Legacy Dashboards: Own ongoing support for existing/legacy BI solutions—fixing defects, updating logic/metrics, refreshing visuals, improving performance, and ensuring continuity during upstream data or system changes.
• Enable Self-Service Analytics: Help build and refine self-service tools and semantic layers so users can confidently explore data, understand definitions, and generate meaningful reports with less manual effort over time.
• Ensure Data Quality, Governance, and Compliance: Support data validation, reconciliation, access controls, documentation, and alignment to governance standards to maintain integrity, security, and auditability of BI solutions.
• Integrate with Cloud Data Platforms: Support integration of BI tools with cloud data platforms (e.g., Databricks) to improve scalability, reliability, and delivery of analytics assets.
• Delivery Execution (Agile / Roadmaps): Contribute to planning and execution—managing work across feature development, maintenance, and ad hoc demand using agile practices, clear timelines, and stakeholder communication.

Skills

Strong analytical skills

Communication skills

Stakeholder collaboration

Willingness to learn

Education

Bachelor’s degree in Computer Science, Information Systems, Business Analytics, or related field

Tools

Tableau

Snowflake

Sigma Computing

Databricks

Job description

As an Associate – Business Intelligence within the Employee Experience organization, you will help deliver analytics solutions that enable HR and business teams to make informed decisions. In this role, you’ll contribute to the buildout of new dashboards and reporting capabilities while also playing a critical part in keeping existing BI products running smoothly—maintaining and enhancing legacy dashboards, responding to ad hoc reporting needs, and ensuring data quality and governance. You’ll partner with stakeholders to translate questions into actionable insights and support the adoption of modern, cloud-based BI platforms. This position is ideal for someone who enjoys a mix of new development, operational reporting, and continuous improvement in a workforce analytics environment that is rapidly transforming to a new analytics platform.

Job responsibilities:

• Build and Enhance BI Products:Contribute to the design, development, and delivery of dashboards, reports, and curated datasets that support workforce and employee experience insights.
• Support Ad Hoc Reporting & Stakeholder Requests: Produce timely, accurate one-off analyses and recurring reports to answer evolving business questions, including quick-turn requests and executive-ready outputs.
• Maintain and Improve Legacy Dashboards: Own ongoing support for existing/legacy BI solutions—fixing defects, updating logic/metrics, refreshing visuals, improving performance, and ensuring continuity during upstream data or system changes.
• Enable Self-Service Analytics: Help build and refine self-service tools and semantic layers so users can confidently explore data, understand definitions, and generate meaningful reports with less manual effort over time.
• Ensure Data Quality, Governance, and Compliance: Support data validation, reconciliation, access controls, documentation, and alignment to governance standards to maintain integrity, security, and auditability of BI solutions.
• Integrate with Cloud Data Platforms: Support integration of BI tools with cloud data platforms (e.g., Databricks) to improve scalability, reliability, and delivery of analytics assets.
• Delivery Execution (Agile / Roadmaps): Contribute to planning and execution—managing work across feature development, maintenance, and ad hoc demand using agile practices, clear timelines, and stakeholder communication.

Required qualifications, capabilities and skills:

• Bachelor’s degree in Computer Science, Information Systems, Business Analytics, or a related field.
• 2+ years of experience in Business Intelligence, data analysis, or a related role.
• Familiarity with cloud-based BI tools and platforms.
• Foundational understanding of data visualization, dashboard design, and self-service analytics concepts ideally with Tableau, Snow, or Sigma.
• Strong analytical, problem-solving, and communication skills.
• Proven ability to collaborate effectively with stakeholders and team members.
• Demonstrated willingness to learn and adapt to new technologies and evolving business requirements.

Preferred qualifications, capabilities and skills:

• Exposure to HR data and analytics.
• Experience collaborating with HR or business teams to deliver workforce insights.
• Familiarity with integrating BI tools with cloud data platforms, especially Databricks and Snowflake.

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