Senior Financial Data Product Lead

U.S. Bank; Minneapolis (MN); Hybrid; USD 120,000 - 141,000; Full time

Benefits offered by this job

Healthcare (medical, dental, vision)

Life insurance

Disability insurance

Parental leave

401(k)

Vacation and holidays

Adoption assistance

Background and security checks

Job summary

U.S. Bank is seeking a Senior Financial Data Product Analyst to join the Enterprise Data Office. You will transform complex finance data needs into scalable data products and actionable insights, partnering with Finance, product teams and technology to support WCIB business growth.

The ideal candidate has 6–8 years in statistical/data analytics, strong SQL, Snowflake and data governance experience, and excellent stakeholder communication across levels.

Qualifications

• Bachelor’s degree in a related field, or equivalent work experience.
• Six to eight years of statistical and/or data analytics experience.
• Experience with finance data and data governance standards.
• Strong ability to gather, translate and document requirements.

Responsibilities

• Leads data and analytics initiatives using large, complex datasets to generate actionable insights.
• Acquires, integrates, and analyzes data from multiple sources including Snowflake.
• Identifies trends and opportunities and provides recommendations to leaders.
• Collaborates with finance, business and technology stakeholders to refine requirements and ensure governance.

Skills

Data analytics

Stakeholder management

Communication (verbal/written)

SQL

Python

R

Excel

Snowflake

Databricks

Project management

Education

Bachelor’s degree in a related field

Tools

SQL

R

Python

Excel

Snowflake

Databricks

Job description

U.S. Bank is seeking a Senior Financial Data Product Analyst to join the Enterprise Data Office. You will transform complex finance data needs into scalable data products and actionable insights, partnering with Finance, product teams and technology to support WCIB business growth.

The ideal candidate has 6–8 years in statistical/data analytics, strong SQL, Snowflake and data governance experience, and excellent stakeholder communication across levels.