Treasury Data Analyst - Hybrid in Eden Prairie, MN

UnitedHealth Group•Eden Prairie, MN

6h•$72,800 - $130,000•Hybrid

About The Position

To translate data into forward-looking analytics that improve decision-making and operational efficiency, supporting Treasury's strategic goals for optimal cash management, automated reporting and enhanced forecasting. This position follows a hybrid schedule with four in-office days per week.

Requirements

Undergraduate degree in Accounting, Finance, Economics, Analytics, or other quantitative field
2+ years of data analytics or financial analysis within treasury, finance or related business function
Proven high attention to detail with a solid focus on accuracy, quality, and data integrity
Ability to synthesize large datasets, interpret financial statements, analyze cash flow projections, and understand financial ratios
Demonstrated analytical mindset with comfort navigating ambiguity and managing multiple priorities
Proven effective communication skills to convey insights and recommendations to stakeholders across all levels of the organization

Nice To Haves

Demonstrated foundation in statistical analysis and programmatic methods
Ability to effectively and responsibly leverage AI for productivity gains
Proven knowledge of database design, data warehousing, and SQL
Demonstrated familiarity with ETL (Extract, Transform, Load) processes
Expertise in data visualization and dashboard design
Power BI experience
Microsoft Excel experience
Snowflake experience

Responsibilities

Collaborate with data analysts, scientists, and Treasury team members to implement machine learning (ML) predictive data modeling tools for cash flow forecasting
Utilize tools like Power BI to create detailed reports and dashboards that provide actionable insights, driving better decisions in measuring, forecasting, investing, borrowing, and risk management
Develop SQL queries and automated workflows to extract and manipulate data for analysis
Work with other departments to gather forward-looking business data to enhance cash flow forecasting models
Design, validate, and execute data quality and integrity checks to ensure reliability of analytical outputs
Translate business questions and requirements into technical logic and analytical solutions
Communicate insights, assumptions, and limitations clearly—both visually and verbally—to audiences ranging from operators to senior leadership