Treasury Consultant - Financial Reporting, Analytics & Data - Eden Prairie, MN - Hybrid

UnitedHealth Group•Eden Prairie, MN

4h•$72,800 - $130,000•Hybrid

About The Position

This role sits at the intersection of corporate finance and data analytics, supporting multiple Treasury functions across cash management, investments, funding, and risk. The position focuses on enhancing forecasting capabilities and translating Treasury data into forward-looking financial analysis, insights and automated reporting to support Treasury’s strategic goals and decision-making.

Requirements

Undergraduate degree in Accounting, Finance, Economics, Analytics, or other quantitative field
2+ years of experience in treasury, finance, accounting, FP&A, banking, capital markets or a related financial function
Demonstrated experience working with financial datasets and translating financial results into actionable insights
Proven high attention to detail with a focus on accuracy and data integrity
Proven solid communication skills with the ability to present insights to senior leadership

Nice To Haves

Proven solid understanding of investments, cash management and capital markets
Demonstrated familiarity with ETL (Extract, Transform, Load) processes
Proven foundation in statistical analysis and programmatic methods
Ability to effectively and responsibly leverage AI for productivity gains
Proven advanced skills in Power BI, SQL or Microsoft Excel

Responsibilities

Research and analyze key cash flow drivers and underlying business trends, and incorporate insights into financial analysis and forecasting models
Collaborate with data analysts, scientists, and Treasury team members to implement machine learning (ML) predictive data modeling tools for cash flow forecasting
Translate complex Treasury and financial data into clear insights and recommendations for senior leadership
Utilize tools like Power BI to create detailed reports and dashboards that provide actionable insights, driving better decisions in forecasting, investing, borrowing, and risk management
Develop automated workflows to extract and manipulate data for analysis and incorporate data quality and integrity checks
Ensure integrity and reliability of financial data through validation, controls, and reconciliation processes
Communicate insights, assumptions, and limitations clearly—both visually and verbally—to audiences ranging from operators to senior leadership