Data Analyst / SQL Developer at CSpring

Springfield, Illinois, United States -

Full Time

Start Date

Immediate

Expiry Date

03 Feb, 26

Salary

0.0

Posted On

06 Nov, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Analysis, SQL, Healthcare, Documentation, User Acceptance Testing, Presentation Development, Data Anomalies, Time Management, Organizational Skills, Communication Skills, Unix/Linux Scripting, Problem Solving, Multi-tasking, Analytical Skills, Agile Methodologies, Data Integration

Industry

Information Technology & Services

Description

Description At CSpring, we believe that data has the power to drive better outcomes—especially in healthcare. We’re looking for a Data Analyst / SQL Developer who is passionate about transforming complex healthcare data into meaningful insights that improve programs and services for Medicaid and CHIP populations. In this role, you’ll use your SQL expertise to build, analyze, and optimize data solutions that support Medicaid reporting, analytics, and compliance. You’ll collaborate with internal teams and state partners to ensure data integrity, streamline documentation, and help uncover insights that drive better public health decisions. If you’re a detail-driven analyst who thrives on solving complex data challenges and wants to make a tangible impact in public health, this role was built for you. Primary Responsibilities Analyze and develop complex SQL supporting data warehouse downstream reporting and analytics Analysis of current business processes and systems, and documenting requirements for new processes and systems Work with internal team and customer on business documentation and updates Assist with user acceptance testing, including defect reporting and follow up. Help with development of test scenarios and acceptance criteria Help with developing presentations for internal team or for the customer. Solicit input from others and pull information together to create a professional presentation Work with team to document updates needed for Operations Guide Assist with analysis of Medicaid enrollment, provider and claims data, and document requirements, use cases Assist with identifying and documenting data anomalies and collaborate with cross functional teams for effective resolution Share use cases to data analysts for profiling, review results and infer compliance to Medicaid / CMS processes and guidelines Ability to juggle multiple priorities and ensure availability to questions and clarifications from data analysts Positive attitude and willingness to jump in and help where needed Requirements What You Bring Healthcare business analysis experience supporting business initiatives through data analysis, writing business requirements and user acceptance testing of various systems 2+ years of Unix/Linux Shell (Bash/Korn) scripting experience Advanced ANSI SQL coding experience Healthcare claims and encounters experience Be a self-starter and able to thrive in an environment with little guidance Strong time management and organizational skills Excellent interpersonal, oral, and written communication skills Proficient with MS Word, MS Excel Effective organizational, analytical, time management, problem-solving, and multi-tasking skills, and habits; ability to complete assignments under tight deadlines with little/no direct supervision Bachelor’s degree in related field Preferred Qualifications Experience working with PERM, T-MSIS, CMS Federal Reporting (CMS-416, CMS-64, etc.) or similar projects Experience working Quality of Care Reporting (HEDIS, CMS Core Set, etc.) Experience with Symmetry EBM Connect Experience with the Teradata DMBS Knowledge of data integration, software enhancements/planning and agile methodologies Experience with using Azure DevOps, SharePoint, MS Project, Visio

Responsibilities

The Data Analyst / SQL Developer will analyze and develop complex SQL to support data warehouse reporting and analytics. They will collaborate with internal teams and state partners to ensure data integrity and uncover insights for public health decisions.