Remote Data Engineer | BI & Tableau Analytics

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 diversity and inclusion, 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.

You will enjoy the flexibility to telecommute
* from anywhere within the U.S as you take on some tough challenges.

• Development, implementation, and support contractual and/or performance guarantee reports
• Develop both internal/external customer reports using SQL queries, Alteryx, and/or Tableau
• Apply knowledge of operations and processes of internal business areas to reporting and data analytics projects
• Data mining and analytics to identify service opportunities
• Collaborate and communicate with customers to assess and interpret their data analytics/reporting needs and requirements, understand business issues and questions and appropriately frame them into analytical/reporting projects
• Create and/or complete needed documentation to define project parameters and specifications, process flow and other business documentation including, but not limited to: business/functional/report/analytics requirements, workflows, job aids, and reference materials
• Identify appropriate data sources, report metrics, and tools for providing required information according to the customer's specifications
• Define and/or ensure that report/analytics parameters that are established are consistent with data governance requirements (e.g., share minimally necessary data)
• Create and support relevant databases (tables/fields/libraries) needed to source appropriate data
• Develop tests and/or validation queries needed to assess the accuracy of data and/or coding used for report generation. Conduct testing to verify the accuracy of incoming or received data and/or coding prior to generating automated reports
• Demonstrate knowledge of operations, goals, and policies and procedures of internal business partners (e.g., information contacts)
• Apply analytical, mathematical and statistical techniques to investigating and interpreting data results
• 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 recognizing trends, performing normalization operations and assuring data quality
• Depending on the specific role and business line, for 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
• Generally, work is self-directed and not prescribed
• Works with less structured, more complex issues
• Serves as a resource for others
• Leverage enterprise-approved AI tools to streamline workflows, automate tasks, and drive continuous improvement

• Bachelor's degree in MIS, Statistics, Mathematics, Computer Science
• 2+ years of experience performing complex data analysis, report development, querying high volume data, and interpreting results
• 2+ years of experience in creating relevant databases (tables/fields/libraries) needed to source appropriate data
• 2+ years of experience communicating with clients to understand client needs and define report/analytics deliverables
• 2+ years of experience building and executing data pulls using SQL and / or other BI reporting tools
• 1+ years of experience with documenting processes and practices, often in accepted project methodology artifacts

• Experience manipulating / combining data from multiple sources to provide actionable information
• Experience prioritizing multiple tasks, priorities, projects, and deadlines
• Intermediate to Advanced level of…