Data Analyst II - UHC COVE

UnitedHealth Group•Minnetonka, MN

23h•Hybrid

About The Position

At UnitedHealthcare, we’re simplifying the health care experience, creating healthier communities and removing barriers to quality care. The work you do here impacts the lives of millions of people for the better. Come build the health care system of tomorrow, making it more responsive, affordable and optimized. Ready to make a difference? Join us to start Caring. Connecting. Growing together UnitedHealthcare is seeking a highly skilled Data Analyst II to join our Consumer Operations Vital and Experience Hub (COVE). COVE monitors member experience, provider experience, and core operational experiences, with a focus on early detection and resolution of issues and data driven decision making across multiple lines of business. As a Data Analyst II, you will be responsible for building and refining tools to analyze complex operational data, generate actionable insights, and contribute to advanced analytics solutions, including AI/ML enabled use cases, in support of multiple lines of business and shared services organizations. This position is hybrid, with a minimum of 4 days per week in office at the 9700 Building in Minnetonka, MN.

Requirements

Bachelor's degree in data analytics, data science, or related field
3+ years of experience in a highly quantitative field such as analytics, statistics, or computer science
2+ years of hands on experience in data analysis, data driven investigations, data visualization, and insight generation for operational or leadership audiences
Advanced proficiency in SQL
Advanced experience building analytics solutions using business intelligence tools such as Power BI, Tableau, or equivalent
Intermediate to advanced experience working with large scale datasets, including terabyte level data
Demonstrated experience performing statistical analysis and presenting results to non technical audiences
Experience extracting and integrating data from Enterprise Data Warehouses and Enterprise Data Lakes
Experience with cloud based analytic services such as Snowflake or DataBricks
Advanced proficiency in Excel and Microsoft Office tools

Nice To Haves

Proficiency with Python or other analytical programming languages
Solid theoretical and practical knowledge of machine learning or artificial intelligence algorithms and techniques applied to analytics use cases
Experience creating and delivering presentations to varying levels of leadership
Healthcare or health insurance industry experience
Solid problem solving skills with the ability to identify root causes and recommend data supported improvements
Proven ability to work effectively in a fast paced environment while managing multiple priorities

Responsibilities

Support the full analytics and data solution lifecycle, including research, proof of concepts, design, development, testing, deployment, and ongoing maintenance
Analyze operational and experience data to identify opportunities for process improvement, cost optimization, and experience enhancement across consumer, provider, and core operations
Work with diverse data sources including NPS trends, consumer and provider verbatims, digital portal interactions, and critical operational metrics
Collaborate with cross functional partners to define business problems and develop analytic solutions
Perform as an individual contributor by querying and integrating data from multiple sources, wrangling datasets, and building dashboards and analyses that surface insights and opportunities
Apply data storytelling techniques to clearly communicate findings to technical and non technical audiences
Anticipate stakeholder needs by engaging in creative problem solving and ideation to bring new, relevant analytic content to Operations
Contribute to team and organizational growth through knowledge sharing, collaboration, mentorship, and continuous self development