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Data Analyst - Remote

Remote / Online - Candidates ideally in
Eden Prairie, Hennepin County, Minnesota, 55344, USA
Listing for: Optum
Remote/Work from Home position
Listed on 2026-03-07
Job specializations:
  • IT/Tech
    Data Analyst, Data Engineer
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below
Position: Data Analyst 2 - Remote

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.

The Data Analyst 2 will be responsible for the management and manipulation of survey, pharmacy and HEDIS data with a focus on building business intelligence tools, conducting analysis, and assuring data quality. This position presents analyses results/recommendations to leadership directly in a timely, consistent, and accurate manner. Recommends and implements new or modified reporting methods and procedures to improve report content and completeness of information.

You'll enjoy the flexibility to work remotely
* from anywhere within the U.S. 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.

Primary Responsibilities
  • Designs, develops, tests, documents and maintains database queries and data analysis
  • Translates large quantities of in-depth data and creates reports that display the information's overall significance
  • Develops data reporting processes and procedures to ensure timely delivery of daily, weekly, monthly, annual and ad hoc reporting to management
  • Troubleshoots data integrity issues, analyzes data for completeness to meet business needs, and proposes documented solution recommendations
  • Converts complex data from multiple sources into meaningful, professional and easy to understand formats for various audiences as defined by department guidelines
  • Supports reporting and analysis on all business initiative projects
  • Recommends and implements new or modified reporting methods and procedures to improve report content and completeness of information
  • Troubleshoots and coordinates resolutions for all issues related to reports supported by the department
  • Performs all other related duties as assigned

Positions in this function are responsible for the management and manipulation of mostly structured data, with a focus on building business intelligence tools, conducting analysis to distinguish patterns and recognize trends, performing normalization operations and assuring data quality. Depending on the specific role and business line, example responsibilities in this function could include creating specifications to bring data into a common structure, creating product specifications and models, developing data solutions to support analyses, performing analysis, interpreting results, developing actionable insights and presenting recommendations for use across the company.

Roles in this function could partner with stakeholders to understand data requirements and develop tools and models such as segmentation, dashboards, data visualizations, decision aids and business case analysis to support the organization. Other roles involved could include producing and managing the delivery of activity and value analytics to external stakeholders and clients. Team members will typically use business intelligence, data visualization, query, analytic and statistical software to build solutions, perform analysis and interpret data.

Positions in this function work on predominately descriptive and regression-based analytics and tend to leverage subject matter expert views in the design of their analytics and algorithms. This function is not intended for employees performing the following work: production of standard or self-service operational reporting, casual inference led (healthcare analytics) or data pattern recognition (data science) analysis; and/or image or unstructured data analysis using sophisticated theoretical frameworks.

  • Generally work is self-directed and not prescribed
  • Works with less structured, more complex issues
  • Ser…
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