A-Line Staffing Solutions

Data Analyst

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Analyst focused on Medicare Risk Adjustment, requiring 1–2 years of Base SAS 9.4 and SQL experience. The contract is remote with quarterly onsite meetings in Blue Bell, PA, at a pay rate of $30.00/hour.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
240
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🗓️ - Date
August 5, 2026
🕒 - Duration
Unknown
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🏝️ - Location
Remote
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📄 - Contract
W2 Contractor
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🔒 - Security
Unknown
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📍 - Location detailed
Blue Bell, PA
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🧠 - Skills detailed
#Data Quality #Data Reconciliation #Quality Assurance #Data Analysis #Data Accuracy #Datasets #SAS #SQL (Structured Query Language) #AWS (Amazon Web Services) #"ETL (Extract #Transform #Load)" #Base #Athena #CMS (Content Management System) #Data Manipulation #Data Processing #Documentation #Compliance
Role description
Risk Adjustment Data Analyst (SAS/SQL) Location: Remote (Quarterly Onsite Meetings in Blue Bell, PA) Pay Rate: $30.00/hour (W-2) Schedule: Monday–Friday, 8:00 AM–4:30 PM EST No C2C or Third-Party Candidates Position Overview We are seeking a detail-oriented Risk Adjustment Data Analyst to support the end-to-end management of Medicare Risk Adjustment submission data. This role is responsible for preparing, validating, analyzing, and submitting data to the Centers for Medicare & Medicaid Services (CMS) while ensuring the highest levels of data accuracy, integrity, and compliance. The ideal candidate has hands-on experience with Base SAS 9.4 and SQL, enjoys solving complex data challenges, and thrives in a fast-paced, deadline-driven environment. This position works closely with internal teams, vendors, and providers to support critical Medicare risk adjustment reporting activities. Key Responsibilities Data Processing & Analysis • Develop, maintain, and troubleshoot SAS programs supporting Medicare Risk Adjustment submissions. • Extract, transform, validate, and analyze data using Base SAS 9.4 and SQL. • Create CMS-compliant submission files and supporting datasets. • Perform data reconciliation, validation, and quality assurance activities. • Conduct root cause analysis to investigate data discrepancies and resolve issues. • Document audit trails and validation results supporting submission accuracy. Reporting & Compliance • Prepare data files that meet CMS submission requirements. • Validate incoming and outgoing data to ensure completeness and accuracy. • Support ongoing compliance with Medicare Risk Adjustment reporting standards. • Maintain documentation supporting submission processes and audit requirements. Collaboration • Partner with vendors, providers, and internal business teams to resolve data issues. • Coordinate workflow priorities to meet submission deadlines. • Communicate technical findings and data-related issues clearly with both technical and non-technical stakeholders. • Participate in quarterly onsite meetings and team collaboration activities. Required Qualifications • Minimum 1–2 years of hands-on experience using Base SAS 9.4 (PC SAS). • Experience developing and maintaining SAS programs using: • Data Steps • PROC SQL • Data manipulation • File creation • Validation processes • Intermediate to advanced SQL skills. • Experience with data validation, reconciliation, and root cause analysis. • Strong analytical and problem-solving skills. • Excellent written and verbal communication skills. • Ability to manage multiple priorities in a deadline-driven environment. Preferred Qualifications • SAS Certification (preferred). • Experience with AWS Athena. • Healthcare, Medicare, or Risk Adjustment experience. • Experience supporting ETL processes. • Knowledge of CMS submission processes. • Experience with audit support and data quality initiatives. Additional Requirements • Candidates must reside within approximately two hours driving distance of Blue Bell, PA. • Quarterly onsite meetings are required. • Travel and mileage for onsite meetings are not reimbursed. • Bachelors Degree What You'll Bring • Strong attention to detail and commitment to data accuracy. • Curiosity and persistence in investigating complex data issues. • Ability to work independently while collaborating across multiple teams. • Excellent communication skills and a customer-focused mindset. • Commitment to delivering high-quality work under tight deadlines.