Senior Healthcare Analyst

UnitedHealth Group•Las Vegas, NV

3d•$72,800 - $130,000•Remote

About The Position

This position is Remote in Pacific Time Zone. You will have the flexibility to work remotely as you take on some tough challenges. 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 a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together. Join us and put your data analytics knowledge and skills to work in support of Operational Finance. The Healthcare Senior Analyst will develop and maintain Power BI dashboards to provide critical insights into operational and financial performance. They will help support building and maintaining complex data models and their proficiency in working with large data sets will be crucial. By conducting in-depth data analysis and creating ad hoc reports, they will support strategic decision-making and enhance the team’s ability to achieve key performance goals. This position is full-time. Employees are required to have flexibility to work any of our shift schedules during our normal business hours of 8am - 5pm. It may be necessary, given the business need, to work occasional overtime. We offer weeks of paid training. The hours of training will be based on your schedule or will be discussed on your first day of employment.

Requirements

Bachelor's degree in Information Systems, Computer Science, Data Analytics, Finance, Mathematics, Statistics, or a related field, or equivalent practical experience
5+ years of experience in data analytics, business intelligence, data engineering, or a related technical role
Advanced SQL expertise with experience building complex queries and data solutions
Deep understanding of: Window functions, CTEs, Temporary tables, Query performance tuning, Multi-step data transformations, Relational databases
Understanding of data warehousing concepts and dimensional modeling, including fact and dimension tables
Advanced Power BI experience, including: Data modeling, DAX, Report optimization, Dashboard development, Large dataset performance management
Ability to work independently and translate ambiguous business requirements into actionable technical solutions
Problem-solving, analytical, and communication skills
Ability to work full-time. Employees are required to have flexibility to work any of our shift schedules during our normal business hours of 8am - 5pm.
It may be necessary, given the business need, to work occasional overtime
Reside within Pacific Time Zone
Ability to keep all company sensitive documents secure (if applicable)
Required to have a dedicated work area established that is separated from other living areas and provides information privacy
Must live in a location that can receive a UnitedHealth Group approved high-speed internet connection or leverage an existing high-speed internet service

Nice To Haves

Experience working with datasets containing tens of millions of records
Experience with Python for automation, data processing, or analytical workflows
Experience designing scalable reporting and data architecture solutions
Experience mentoring analysts or serving as a technical lead
Knowledge of data governance, ETL processes, and enterprise reporting best practices

Responsibilities

Design, develop, and maintain complex SQL solutions to support reporting, analytics, and business decision-making.
Write highly efficient and scalable SQL queries against large datasets containing millions of records.
Analyze and troubleshoot data quality, performance, and reporting issues.
Develop repeatable and maintainable data solutions that are easy to understand and support.
Design and maintain data models that accurately represent business processes and reporting requirements.
Partner with stakeholders to translate business requirements into scalable data solutions.
Ensure consistency and accuracy across reporting and analytical datasets.
Develop and maintain enterprise-level Power BI dashboards and reports.
Create optimized Power BI data models capable of supporting large datasets while maintaining strong report performance.
Leverage best practices around relationships, DAX, data model design, and dataset optimization.
Design intuitive and visually compelling dashboards that effectively communicate key business insights.
Balance technical performance with user experience and dashboard usability.
Utilize Python to support data processing, automation, and analytical workflows when appropriate.
Collaborate with other technical team members to support automation initiatives and process improvements.
Serve as a subject matter expert for data architecture, SQL development, and reporting solutions.
Mentor team members and promote best practices in analytics, reporting, and data management.
Independently solve complex technical problems with minimal supervision.
Drive continuous improvement in data processes, reporting capabilities, and overall analytical maturity.