Senior Healthcare Analyst| Las Vegas, NV | Remote

Healthcare Senior Analyst

This position is remote in the 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.

Primary Responsibilities:

• Data Engineering & SQL Development
• Data Modeling & Analytics
• Power BI Development
• Automation & Python Support
• Leadership & Technical Ownership

Required Qualifications:

• 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

Preferred Qualifications:

• 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

Telecommuting Requirements:

• 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 United Health Group approved high-speed internet connection or leverage an existing high-speed internet service

What Success Looks Like:

• Can independently design and implement complex SQL solutions without guidance
• Understands data models intuitively and quickly identifies how data should be structured for reporting
• Builds Power BI solutions that remain performant even with very large datasets
• Creates dashboards that are both technically efficient and visually effective
• Uses Python as a…