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# Data Analysis and Management

- **Company:** DataStaff, Inc
- **Location:** Raleigh, NC, United States
- **Salary:** $95,680.0
- **Contract:** Permanent contract
- **Skills:** Microsoft Word, Microsoft Excel, Data Analysis, Big Data, Data Cleansing, Data Integration, Data Warehousing, Interoperability, Python (Programming Language), Microsoft PowerPoint, Power BI, SAS (Software), SQL Databases, Tableau (Software), Data Management
- **Published:** May 22, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=4df9021f3ae3b311

## About the Role

Do you have experience in SQL?, Do you have a Master's degree?, * SAS or other tools such as SQL, Python, Power BI

 * Tableau
 * Proficiency in Microsoft Office tools (Excel, Word, PowerPoint)
 * Interpreting complex or large datasets to identify and communicate trends.
 * Experience in data integration and interoperability
 * Data management and quality assurance/improvement

Minimum Education/Experience:
Bachelor's degree from appropriately accredited institution in a discipline related to the area of assignment with three years of programmatic experience related to the area of assignment; or an equivalent combination of training and experience.

Manager's Preferences:

 * Master's degree in related discipline (e.g. public health, population health, statistics, public administration).
 * Familiarity with Medicaid and health care and associated rules, regulations and standards
 * Knowledge and demonstrated experience in the calculation and analysis of population health delivery models, care delivery models, care management models, clinical program innovations, and system redesign.
 * Experience interpreting and responding to federal monitoring requirements and large system pilot projects/initiatives.
 * Strong project management skills.

## Description

* Data automation: standardization and automation of data processes
 * Collaborate with the Evaluation team to develop reports used for monitoring Population Health managed care programs.
 * Quality checks and data cleaning: clean large datasets and identify potential quality issues affecting validity, review and provide feedback on reports and data submitted by managed care plans.
 * Analysis: compile data from various sources into tidy datasets, run analytical queries using prepared datasets and present findings through carts/graphs/other visualizations.
 * Data warehouse queries: support evaluators with development of queries and data requests in NC Medicaid data warehouse.
 * Ad hoc data requests: respond to ad hoc questions concerning population health policies and programs from other stakeholders (legislature, population health, evaluation, other business leads).


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