Data Systems Analyst (Healthcare)

Chicago, IL, US • Posted 18 hours ago • Updated 6 hours ago
Full Time
On-site
USD $58.00 - 63.00 per hour
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Job Details

Skills

  • Mapping
  • Flat File
  • Health Information Exchange
  • Electronic Health Record (EHR)
  • Customer Relationship Management (CRM)
  • Data Modeling
  • Normalization
  • Meta-data Management
  • Regulatory Compliance
  • Data Engineering
  • Analytics
  • Reporting
  • Use Cases
  • Specification Gathering
  • Data Integration
  • Business Intelligence
  • Health Care
  • HEDIS
  • Pharmacy
  • SQL
  • RDBMS
  • Data Warehouse
  • Data Marts
  • Cloud Computing
  • Snow Flake Schema
  • Data Governance
  • Data Quality
  • Soft Skills
  • Scrum
  • JIRA
  • Agile
  • Communication
  • Collaboration
  • Attention To Detail
  • Conflict Resolution
  • Problem Solving

Summary

Data Systems Analyst (Remote), must have extensive Healthcare Payor background.

Must be able to work Eastern Standard Time

Rate: $58-63 an hour W2, Salary after conversion 130-145K range + bonus



No Sponsorship or C2C available for this opening (W-2 Candidates only)

Our Client is a mission-driven healthcare organization focused on delivering value-based care. Our data platform is central to our ability to improve patient outcomes and operate efficiently across clinical, operational, and payer systems.



Role Summary

The Data Systems Analyst leads the integration of healthcare payer data and internal enterprise systems into enterprise data platforms. This role is responsible for analyzing, mapping, validating, and standardizing payer feeds - including eligibility, claims, quality, and risk adjustment data - alongside internal systems such as EMR, CRM, and HR to maintain a reliable single source of truth supporting value-based care.

The ideal candidate brings strong healthcare data knowledge, technical expertise, a collaborative mindset, and a desire to grow within a complex and mission-driven data environment.



Key Responsibilities


Data Integration & Payer Feeds

Onboard and integrate payer feeds including eligibility (834/flat files), medical and institutional claims (837/flat files), HEDIS quality data, HIE, and risk adjustment/RAF datasets

Analyze and map data from external payer sources and internal systems (EMR, CRM, operational platforms) into the enterprise data model

Maintain source-to-target mappings, transformation logic, and standardized data definitions across payer and internal feeds

Identify payer-specific variations, data quality issues, and structural differences; support normalization within the data warehouse



Data Quality & Governance

Validate data ingestion and transformations through profiling, reconciliation, and exception analysis

Define and implement data quality rules and monitoring frameworks for all critical data pipelines

Develop and enforce data governance policies including metadata management, lineage tracking, and compliance standards



Collaboration & Delivery

Partner with data engineering and senior analysts to ensure scalable, accurate, and well-documented ingestion pipelines

Serve as subject matter expert for integrated payer and internal data, supporting analytics, reporting, and operational use cases

Lead discovery sessions with stakeholders to document technical specifications, data elements, and business requirements

Translate clinical, operational, and business requirements into clear data and system specifications

Ensure assigned integration stories are delivered on time and fully prepared for engineering implementation



Required Qualifications

Education & Experience


Bachelor's degree in Computer Science, Information Systems, or a related field, or equivalent experience

4-5 years of experience in data warehousing, data integration, or business intelligence roles

Experience with healthcare payer data including 834, 837, HEDIS, pharmacy, census, and RAF datasets



Technical Skills

Advanced SQL skills and strong understanding of relational database concepts

Deep working knowledge of enterprise data warehouse and data mart architecture

2+ years of experience with cloud-based data platforms (e.g., Snowflake)

1+ years of experience with data governance and data quality frameworks and tools (e.g., Atlan, Collibra, Alation)



Process & Soft Skills

Familiarity with Scrum/Agile methodologies and tools such as Jira

Proven ability to support integration projects and drive agile delivery

Strong communication skills with the ability to collaborate across technical and non-technical teams

High level of ownership, initiative, attention to detail, and proactive problem-solving



#Techjobs

#LI-SK1

The base pay range listed reflects what we reasonably expect to offer for this role. Actual pay may vary based on location, experience, and performance. Depending on the position, benefits may include medical, dental, and vision coverage; retirement and savings plans; paid holidays and time off; supplemental insurance; and additional wellness or incentive programs.



About Us

Advantage Technical connects top- talent in technology, engineering, and technical fields with forward-looking companies.


Advantage Technical is an equal opportunity employer. All applicants will receive consideration without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status, or any other legally protected status. Advantage Technical offers reasonable accommodations for qualified individuals with disabilities; contact your local branch for inquiries. Advantage Technical is an E-Verify employer. See our Privacy Notice for Candidates and Employees/Contractors at By applying, you consent to receive AI-generated and non-AI-generated calls, texts, or emails from Staffmark Group, its affiliates, and partners. Frequency varies and message/data rates may apply. Reply STOP to cancel or HELP for help.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 10118370
  • Position Id: 2028694
  • Posted 18 hours ago
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