Senior Data Analyst - MN or PA Markets - Remote

UnitedHealthcare
Minnetonka, United States of America
2 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior
Compensation
$ 164K

Job location

Remote
Minnetonka, United States of America

Tech stack

API
Code Reuse
Databases
Data Systems
Database Queries
Programming Tools
Python
Microsoft SQL Server
SQL Databases
Scripting (Bash/Python/Go/Ruby)
Snowflake
Code Comments
Programming Languages

Job description

The Sr Data Analyst is a business-facing position that will specialize in managing eligibility and benefit data, supporting vendors that administer supplemental Medicare Advantage benefits (such as fitness or transportation). Vendors and internal stakeholders consistently require data and ad-hoc analysis. This role ensures eligibility data is accurate, compliant with CMS regulations and UHG standards, and delivered in accordance with established business requirements.

This role involves querying databases in Snowflake and SQL Server, as well as custom APIs. It requires a solid analytical mindset and the ability to understand the business processes and data supported by MA Product, then apply that knowledge to ensure our data exchanges provide a seamless member experience. The role will work closely with team members across UnitedHealth Group, including product owners, account managers, our IT Partners, and vendors.

If you reside within a commutable distance of either Minnetonka, MN or Fort Washington, PA, you will have the flexibility to work remotely* as you take on some tough challenges. For all hires in the Minneapolis or Washington, D.C. area, you will be required to work in the office a minimum of four days per week., * Collaborate with external vendors and internal stakeholders to design, implement, and support data solutions

  • Investigate, troubleshoot, and resolve data-related production issues impacting internal stakeholders and external partners
  • Support implementation and ongoing management of data exchanges with external vendors and benefit administrators
  • Validate, reconcile, and monitor eligibility, utilization, and benefit data to ensure the accuracy of downstream reporting and vendor data exchanges
  • Establish a thorough understanding of the business (Medicare Product, Claims, Member eligibility) and collaborate with Business SMEs to shape solutions, perform analyses, and interpret data
  • Engage with leadership teams to support ad-hoc data analysis primarily in SQL Server and Snowflake and present findings
  • Create and maintain data scripts using Python for data transformations and data loads
  • Produce high-quality data solutions that adhere to team standards, are scalable as the product grows, and are sustainable with minimal rework
  • Demonstrate leadership by independently driving work to completion while effectively collaborating with team members and stakeholders
  • Maintain team operational effectiveness through comprehensive documentation, process flows, diagrams, code comments, and reusable code developed within a shared environment
  • Contribute to analysis, problem definition, requirements, solution development, and proposed solutions
  • Maintain and expand technical expertise through continuing education, industry networking, and evaluation of emerging development tools and programming techniques
  • Provide timely status updates and communicate risks, dependencies, and project progress to stakeholders
  • Provide technical leadership by driving project teams toward established goals and promoting adherence to established design standards

You'll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in.

Requirements

  • 5+ years of experience developing complex SQL solutions with advanced or expert-level SQL proficiency

  • 3+ years of experience with scripting or programming languages (Python preferred)

  • 3+ years of data analysis and reporting experience

  • 3+ years of experience supporting Medicare Advantage programs, with a solid understanding of the Medicare Advantage line of business

All employees working remotely will be required to adhere to UnitedHealth Group's Telecommuter Policy

Benefits & conditions

Pay is based on several factors including but not limited to local labor markets, education, work experience, certifications, etc. In addition to your salary, we offer benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). No matter where or when you begin a career with us, you'll find a far-reaching choice of benefits and incentives. The salary for this role will range from $91,700 - $163,700 annually based on full-time employment. We comply with all minimum wage laws as applicable.

About the company

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 The Medicare Advantage (MA) Product Capabilities team provides management, strategic oversight, subject matter expertise, data analytics, data delivery and stewardship, and production support for technical assets which deliver Medicare Advantage product and benefit data across the enterprise. Our focus is to create sustainable solutions that drive efficiencies in operations where Medicare Advantage product data is needed., UnitedHealth Group is an Equal Employment Opportunity employer under applicable law and 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.

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