Finance Data Platform Engineer - Drive Insights

U.S. Bank; Minneapolis (MN); Hybrid; USD 119,765 - 140,900; Full time

Benefits offered by this job

Healthcare (medical, dental, vision)

401(k) and employer-funded retirement plan

Paid vacation

Short-term and long-term disability

Adoption assistance

Job summary

A major financial institution seeks a Finance Data Platform Engineer responsible for big data analytics, collaborating with teams to integrate large datasets and generate actionable insights. The role requires a Bachelor's degree and substantial experience in statistics and data analytics. Ideal candidates will have proficiency in SQL, R, Python, and related tools. The position offers a hybrid work model to allow flexibility. Competitive salary between $119,765 and $140,900 with comprehensive benefits included.

Qualifications

• Six to eight years of statistical and/or data analytics experience.

Responsibilities

• Collaborate with cross-functional teams to deliver high-quality solutions.
• Conduct independent research to inform design and implementation.
• Analyze and solve complex problems to achieve desired outcomes.
• Design solutions aligned with engineering objectives and best practices.
• Develop detailed execution plans and monitor progress against milestones.
• Identify and elevate risks or issues.
• Provide technical thought leadership and guidance to partners.
• Uphold engineering patterns and design principles.
• Contribute to platform engineering by identifying reusable components.
• Manage priorities and time effectively.
• Communicate clearly and proactively.
• Lead contractor teams for successful deliverables.

Skills

SQL

R

Python

Excel

Hadoop

SAS

SPSS

Geo-spatial tools

Education

Bachelor's degree in a related field

Job description

A major financial institution seeks a Finance Data Platform Engineer responsible for big data analytics, collaborating with teams to integrate large datasets and generate actionable insights. The role requires a Bachelor's degree and substantial experience in statistics and data analytics. Ideal candidates will have proficiency in SQL, R, Python, and related tools. The position offers a hybrid work model to allow flexibility. Competitive salary between $119,765 and $140,900 with comprehensive benefits included.