Senior Data Reporting Engineer - Telecommute

Combine two of the fastest-growing fields on the planet with a culture of performance, collaboration and opportunity and this is what you get. Leading edge technology in an industry that's improving the lives of millions. Here, innovation isn't about another gadget, it's about making health care data available wherever and whenever people need it, safely and reliably. There's no room for error. Join us and start doing

• Collaborate and communicate with customer 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 is 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 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

• 3+ years of experience with SQL
• 3+ years of experience with SQL server, Oracle, and/or Sybase
• 3+ years of experience with reporting tools (SSRS, Tableau, Power BI)
• 2+ years of experience communicating with clients to understand client needs and define report/analytics deliverables

• Experience with Agile project methodology
• Experience manipulating / combining data from multiple sources
• Experience and/or knowledge of behavioral Medicaid market
• Experience and/or knowledge of behavioral claim processing
• Pulling data from Data Marts
• Intermediate to Advanced level of proficiency gained through work-related experience with automated database management systems and reporting tools such as: Alteryx, Python, SQL, SSIS, SSRS, RStudio, Hyperion, Tableau