> Markdown version of [/jobs/ext/4462093-senior-conversion-analyst-2394512](https://www.wearedevelopers.com/jobs/ext/4462093-senior-conversion-analyst-2394512). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Conversion Analyst - 2394512 - **Company:** Unitedhealth Group Inc - **Location:** Eden Prairie, MN, United States (Remote available) - **Experience:** Expert - **Salary:** $131,300.0 - $177,408.0 - **Contract:** Permanent contract - **Skills:** Microsoft Azure, Information Systems, Databases, Data Cleansing, Data Files, Extract Transform Load (ETL), Data Transformation, Github, Python (Programming Language), PostgreSQL, Parsing, Power BI, Standard Sql, Tableau (Software), Postman, Information Technology - **Published:** October 8, 2026 - **Apply:** https://dejobs.org/x/x/FC909EAC6B2A43E78184C3C50FA62A8E/job/ ## About the Role the U.S. REQUIREMENTS: Employer will accept a Master's degree in Computer Science, Information Systems, or a related field and 12 months of experience in the job offered or in an analyst-related occupation. Experience must include: * Facilitate and document gathering requirements such as mapping documents, process flows, test cases, and business requirement documents; * Build code to cleanse, transform, and enhance data sets; * SQL * Python * Power BI * Tableau * ETL * Azure Cloud Services * Postgres Database * Postman * GitHub ## Description DUTIES: Design, build, test, deliver and maintain conversion jobs that cleanse and transform data from various source data sets into United HealthCare Services' policy management system; access, extract, and merge data from different data sources, formats, platforms and systems; utilize data scrubbing techniques to ensure data accuracy, including parsing, data transformation, duplicate elimination, and statistical modeling; collaborate with non-technical business subject matter experts to work through the build out of conversion logic that will address data anomalies; author and maintain documentation surrounding the mapping and cleansing of source data as it is transformed into our policy management system; verify and document that all source data is accurately converted, validated, and accounted for as it is transformed into our policy management system; and participate in meetings with client teams to present conversion / validation results. Telecommuting is available from anywhere in