Reporting Analyst - Optum COVE

UnitedHealth Group•Eden Prairie, MN

4d•Hybrid

About The Position

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health equity on a global scale. Join us to start Caring. Connecting. Growing together. Optum COVE is a fast‑advancing enterprise capability designed to predict, identify, and resolve the moments that matter most in the consumer experience. By blending AI‑powered sensing tools, real‑time monitoring, and enterprise‑wide performance insights, the team surfaces abrasion signals early and drives rapid action to remove friction for our consumers. Working closely with partners across Operations, Tech, Product, and the Consumer Office, COVE coordinates an integrated response that ensures issues are addressed swiftly and consistently. Joining COVE means shaping a future where proactive, data‑driven experience management becomes a competitive advantage for Optum. We are seeking a highly skilled Reporting Analyst to join our team. The Reporting Analyst will play a crucial role in creating and building 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 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 position follows a hybrid work model based at MN101, Optum headquarters in Eden Prairie. Employees are expected to work onsite Monday–Friday on a scheduled rotation, with the flexibility to work remotely on designated days. Standard business hours are between 7:00 AM – 5:00 PM CST, and occasional weekend availability may be required based on business needs.

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 experience in Excel and handling terabyte size datasets, diving into data to discover hidden patterns, using data visualization tools
Experience performing statistical analysis to identify anomalies at scale
Experience in contact center metrics, trends, and data
Experience with creating automation pipelines in cloud based analytic services such as Snowflake or DataBricks
Advanced proficiency in SQL
Advanced proficiency in business intelligence tools including PowerBI and Tableau
Advanced proficiency in MS Office products: Excel, Word, PowerPoint, Visio
Proven problem-solving attitude with the ability to drive process improvements

Nice To Haves

Experience with Python
Solid theoretical and practical knowledge of Machine Learning/Artificial Intelligence algorithms and techniques
Familiarity with Agile Framework methodologies
Proven ability to create and deliver presentations to various levels of leadership with ease
Proven ability to work well under pressure in a fast-paced environment while demonstrating high level of maturity
Proven excellent analytical and problem-solving skills including the ability to identify root causes and recommend solutions
CLL-- Key Skills and Capabilities:
Growth Mindset: Energized by the new, different and unique. Remains curious, expects success, and is courageous
Self-Management: Self-aware, seeks and accepts feedback, align strengths and skills with tasks, and adapts management approach to meet the needs of their team
Resilience & Resourcefulness: Maintains calm and focus under pressure and rebounds quickly in reaction to adversity
Facilitating Execution Plans: Communicates plan progress, adjustments and corrections on a regular basis. Develops detailed, workable tactical plans
Communicating Effectively: Knows the information needed to get things done. Matches all communication to the receiver-in content, tone and best method delivery
Engaging With Leaders: Effectively collaborates with senior leaders by understanding their perspectives, seeking feedback, being solution-oriented, and courageously addressing issues and decisions

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 the 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