Treasury Data Analyst - Hybrid in Eden Prairie, MN

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. Primary Responsibilities Collaborate with data analysts, scientists, and Treasury team members to implement machine learning 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—in both visual and verbal form to audiences ranging from operators to senior leadership. You'll be rewarded and recognized for your performance in an environment that will challenge you and provide clear guidance on what it takes to succeed. Required Qualifications Undergraduate degree in Accounting, Finance, Economics, Analytics, or another quantitative field. 2+ years of data analytics or financial analysis within treasury, finance, or a related business function. 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. Effective communication skills to convey insights and recommendations to stakeholders across all levels of the organization. Preferred Qualifications Foundation in statistical analysis and programmatic methods. Ability to effectively and responsibly leverage AI for productivity gains. Knowledge of database design, data warehousing, and SQL. Familiarity with ETL (Extract, Transform, Load) processes. Expertise in data visualization and dashboard design. Experience with Power BI. Experience with Microsoft Excel. Experience with Snowflake. All employees working remotely must adhere to UnitedHealth Group's Telecommuter Policy. Pay is based on several factors including but not limited to local labor markets, education, work experience, certifications, etc. The salary range for this role is $72,800 to $130,000 annually for full‑time employment. In addition to salary, the company offers a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401(k) contribution (subject to eligibility). All benefits comply with applicable minimum wage laws. UnitedHealth Group is an Equal Employment Opportunity employer under applicable law. Qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations. UnitedHealth Group is a drug‑free workplace. Candidates are required to pass a drug test before beginning employment. #J-18808-Ljbffr UnitedHealth Group