Analytics Solutions Assoc Senior

About The Role

JPMorgan Chase is seeking an Analytics Solutions Senior Associate within the International Consumer Bank Data Central team, supporting JPMorgan Personal Investing. This role focuses on delivering trusted, decision-ready insights through well-defined metrics, governed reporting layers, and scalable analytics solutions.

Key Responsibilities

• Partner with Product, Business, and Technology stakeholders to translate business needs into clear analytics requirements and deliverables.
• Define, document, and govern key performance indicators and metric definitions to promote consistency across reporting and decision-making.
• Identify appropriate data sources and systems of record and validate outputs through reconciliation and reasonability checks.
• Collaborate with data architects and engineers on data modeling and reporting and semantic layer design to enable scalable analytics consumption.
• Develop and enhance business intelligence dashboards and self-service reporting using Tableau, Looker, Power BI, or equivalent tools.
• Support regulatory reporting through controls, traceability, lineage awareness, and audit-ready documentation.
• Drive disciplined execution using agile practices and Jira while managing priorities, dependencies, and delivery communication.
• Automate manual processes and develop simple, maintainable analytics workflows.

Requirements & Tech Stack

• Advanced SQL skills for querying and transforming data, including performance optimization and scalable query design.
• Strong communication and stakeholder management skills with the ability to translate business needs into technical requirements and communicate analytical outcomes.
• Strong understanding of data modeling, analytics layer design, semantic and reporting layers, and standardized metric frameworks.
• Experience partnering with data architects and engineers to develop scalable analytics solutions.
• Demonstrated ability to identify appropriate data sources, validate business outputs, and resolve data quality issues.
• Knowledge of data governance practices, including documentation, controls, reproducibility, lineage awareness, data quality, and operational risk.
• Experience automating manual processes and designing maintainable analytics workflows.
• Experience with business intelligence tools such as Looker, Tableau, Power BI, or equivalent.
• Proficiency in Python for data analysis and automation.
• Experience with agile project management tools such as Jira.

Qualifications

• Bachelor's degree in a relevant discipline.

Preferred Qualifications

• Master's degree in Finance, Accounting, Data Science, or a related discipline.
• Experience in banking, financial services, or another complex and highly regulated environment.
• Exposure to artificial intelligence-enabled analytics, automation tools, or emerging technology solutions.