Data Analyst

UnitedHealth Group•Minnetonka, MN

1d•Onsite

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 We are seeking a highly skilled Reporting Analyst to join our Consumer Operations Vital and Experience- Hub (COVE). The Reporting Analyst will play a crucial role in creating and building our reports for the real-time monitoring of the health of our operating model in conjunction with back-office functions across lines of business, seeking to best prepare and understand the biggest consumer impacts. As a Data Analyst, you will be responsible for providing data driven insights and building advanced AI / ML solutions to the various lines of business and shared services organizations within UnitedHealthcare. Our team partners with various entities within the enterprise to increase operational value, optimize experience and lower healthcare costs. This team serves across a wide variety of business domains including member and provider experience (omnichannel, customer service, campaigns, net promoter scores), digital and service delivery, core operations, and many more. This Data Analytics role will support the Omni-Channel Domain to develop data-driven insights that lead to improved constituent experience, improved decision-making, and more efficient execution across multiple lines of business. This is an In-Office position in Minnetonka, MN

Requirements

3+ years of experience in a highly quantitative field such as statistics, business analytics or computer science
2+ years of hands-on experience in data analysis, data science, data-driven investigations, data storytelling, visualizations, and analytic insight creation for executive consumption
Advanced proficiency in SQL
Advanced proficiency in building solutions in business intelligence tools such as PowerBI, Tableau etc.
Intermediate to advanced experience in handling terabyte size datasets
Demonstrated experience performing statistical analysis and presenting results to a non-technical audience
Demonstrated problem-solving attitude with the ability to drive process improvements.
Experience with extracting data from Enterprise Data Warehouses and Enterprise Data Lakes
Advanced proficiency in Excel and other MS Office products: Word, PowerPoint, Visio
Experience with cloud based analytic services such as Snowflake or DataBricks
Reside in MN and have the ability to work in the Minnetonka office
Legally authorized to work in the US without any restrictions. Proof will be required.

Nice To Haves

Proficiency with Python
Proven solid theoretical and practical knowledge of Machine Learning/Artificial Intelligence algorithms and techniques
Proven excellent analytical and problem-solving skills including the ability to identify root causes and recommend solutions
Proven ability to work well under pressure in a fast-paced environment while demonstrating high level of maturity
Proven ability to create and deliver presentations to various levels of leadership

Responsibilities

Support the full data engineering lifecycle including research, proof of concepts, design, development, testing, deployment, and maintenance of data management solutions
Analyze operational data to identify areas for process improvement, cost optimization, and enhance consumer experience. This data includes NPS trends, consumer verbatims, digital portal interactions, consumer metrics/critical ops metrics, and more
Collaborate with cross-functional teams, including, but not limited to WFM, Consumer Resolution Center (CRC), Product, Claims, Call Ops, IT, Sales, Enrollment, Implementation, and Provider Ops, to identify key business problems, then diagnose, analyze, and synthesize data, analytics and reporting solutions to solve them
Contribute to continued organizational growth by sharing knowledge, promoting a positive team environment, mentoring others and continual self-development
Anticipate customer needs by engaging in creative problem solving and ideation to bring new, relevant content to Operations
Perform as an individual contributor as a part of analytics and reporting solutions by querying a variety of data sources, wrangling data, and building visually appealing dashboards and reports to identify insights and opportunities