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# Application Programmer

- **Company:** Genesis10
- **Location:** Charlotte, NC, United States
- **Experience:** Expert
- **Salary:** $114,525.0 - $131,165.0
- **Contract:** Temporary contract
- **Skills:** Microsoft Excel, Agile Methodology, Artificial Intelligence, Data Analysis, JIRA, Data Architecture, Data Transformation, Data Structures, Data Systems, Metadata, MicroStrategy, Microsoft PowerPoint, Tableau (Software), GitHub Copilot, Data Lineage, Data Management
- **Published:** October 5, 2026
- **Apply:** https://www.dice.com/job-detail/acd7097e-7906-484d-a422-eb82ebc693a7

## About the Role

* 5 years of experience in a similar role
 * Experience with data gathering for organizational-wide process design and procedural documentation
 * Experience with constructing and sustaining data models and capturing requirements for operational dashboards
 * Advanced/Intermediate skills in Excel, MS Office PowerPoint, JIRA, and Tableau
 * Advanced experience with data technologies and aggregation from multiple sources
 * Advanced understanding of metadata, data lineage concepts, and the business domain
 * Proficient in designing, developing, and executing test cases
 * Experience with Agile, MicroStrategy, and ITSM

Desired skills:

 * Experience with basic AI tools is a strong plus (e.g., GitHub CoPilot)

## Description

* Perform large volume data analysis to develop thematic analytical output and identify correlation and trend information
 * Contribute to story refinement and defining requirements for data collection and presentation in automated scorecards
 * Collaborate with development teams to understand data requirements and ensure feasible data architecture
 * Assemble large, complex data sets that meet functional and non-functional requirements
 * Utilize processes supporting data transformation, data structures, metadata, data quality controls, and workload management
 * Collaborate with Project Management to document and communicate required information for deployment, maintenance, and support
 * Adhere to team delivery/release process and cadence for metric aggregation and presentation
 * Identify gaps in data management standards and work with partners to develop plans to close them
 * Lead concept and experimentation testing to validate and improve analytical solutions