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CDCE Data Analyst
Emory HealthcareAtlanta, GA🇺🇸United StatesPosted 13 Aug 2026
Quick Overview
Work Type
Hybrid
Level
Mid Senior
Job Description
Overview
Be inspired. Be rewarded. Belong. At Emory Healthcare.
At Emory Healthcare we fuel your professional journey with better benefits, valuable resources, ongoing mentorship and leadership programs for all types of jobs, and a supportive environment that enables you to reach new heights in your career and be what you want to be. We provide:
Description
Overview
The CDCE Data Analyst at Emory Healthcare provides strategic and operational support through the analysis of clinical, financial, and claims data. This role is responsible for leveraging large datasets-including MEDPAR, Vizient, Quality data, and internal claims-to benchmark organizational performance and identify opportunities for improvement in Clinical Documentation Integrity (CDI), coding accuracy, and provider documentation practices. The analyst plays a key role in driving improvements in Case Mix Index (CMI), risk adjustment, and departmental performance by identifying trends and delivering actionable insights. This position collaborates closely with mid-revenue cycle leadership, vendors, and digital teams, utilizing platforms such as Epic, Solventum, Vizient, and other systems to support data-driven decision-making and business application optimization.
Key Responsibilities
Data Extraction, Validation, and Analysis
Education
Additional Details
Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status or other characteristics protected by state or federal law.
ACCOMMODATIONS: EHC will provide reasonable accommodation to qualified individuals with disabilities upon request. To request this document in an alternate format or to request a reasonable accommodation, please contact the Office of Leave and Accommodations.
PHYSICAL REQUIREMENTS: (Medium-Heavy) 36-75 lbs., 0-33% of the work day (occasionally); 20-35 lbs., 34-66% of the workday; (frequently); 10-20 lbs., 67-100% of the workday (constantly); Lifting 75 lbs. max; Carrying of objects up to 35 lbs.; Occasional to frequent standing & walking; Occasional sitting; Close eye work (computers, typing, reading, writing); Physical demands may vary depending on assigned work area and work tasks.
ENVIRONMENTAL FACTORS: Factors affecting environmental conditions may vary depending on the assigned work area and tasks. Environmental exposures include, but are not limited to: Blood-borne pathogen exposure; Bio-hazardous waste Chemicals/gases/fumes/vapors; Communicable diseases; Electrical shock; Floor Surfaces; Hot/Cold Temperatures; Indoor/Outdoor conditions; Latex; Lighting; Patient care/handling injuries; Radiation; Shift work; Travel may be required; Use of personal protective equipment, including respirators; environmental conditions may vary depending on assigned work area and work tasks.
Be inspired. Be rewarded. Belong. At Emory Healthcare.
At Emory Healthcare we fuel your professional journey with better benefits, valuable resources, ongoing mentorship and leadership programs for all types of jobs, and a supportive environment that enables you to reach new heights in your career and be what you want to be. We provide:
- Comprehensive health benefits that start day 1
- Student Loan Repayment Assistance & Reimbursement Programs
- Family-focused benefits
- Wellness incentives
- Ongoing mentorship, development, and leadership programs
- And more
Description
Overview
The CDCE Data Analyst at Emory Healthcare provides strategic and operational support through the analysis of clinical, financial, and claims data. This role is responsible for leveraging large datasets-including MEDPAR, Vizient, Quality data, and internal claims-to benchmark organizational performance and identify opportunities for improvement in Clinical Documentation Integrity (CDI), coding accuracy, and provider documentation practices. The analyst plays a key role in driving improvements in Case Mix Index (CMI), risk adjustment, and departmental performance by identifying trends and delivering actionable insights. This position collaborates closely with mid-revenue cycle leadership, vendors, and digital teams, utilizing platforms such as Epic, Solventum, Vizient, and other systems to support data-driven decision-making and business application optimization.
Key Responsibilities
Data Extraction, Validation, and Analysis
- Develop and execute advanced data queries using programming languages to extract and integrate data from multiple sources
- Validate data accuracy and ensure integrity of datasets
- Analyze structured and unstructured data to identify meaningful trends and performance metrics
- Collect, interpret, and evaluate clinical documentation data to identify opportunities for improvement
- Analyze trends in documentation quality, coding accuracy, and financial performance
- Identify patterns, gaps, and areas of focus impacting quality outcomes and reimbursement
- Support initiatives to improve CMI, risk adjustment, and overall documentation quality
- Design and develop dashboards and visual reports for CDI leadership, physicians, and quality teams
- Monitor and report on key performance indicators (KPIs), including:
- Financial impact
- Risk adjustment trends
- Patient Safety Indicators (PSI) and Hospital-Acquired Conditions (HAC)
- Provider performance metrics
- Monitor documentation practices for compliance with CMS, ICD-10, and payer requirements
- Support internal audits and external reviews by preparing and validating data
- Ensure reporting aligns with regulatory and organizational standards
- Partner with CDI specialists, coders, and clinical teams to translate data insights into actionable strategies
- Provide feedback to enhance provider education and documentation workflows
- Collaborate with vendors and digital teams to optimize system functionality and reporting tools
- Support business decisions related to data applications and mid-revenue cycle systems
Education
- Bachelor's degree in Computer Science, Health Information Management (HIM), Data Analytics, or a related field
- Proficiency in data analysis and programming tools, including:
- SQL, SAS, Python
- Microsoft Excel
- Power BI, Tableau
- Cloud platforms (AWS and/or Azure)
- Strong analytical and problem-solving skills
- Advanced ability to write code, merge datasets, and validate analysis results
- Knowledge of clinical documentation standards, healthcare regulations, and industry practices
- Excellent communication and interpersonal skills
- Ability to work independently and collaboratively in a team environment
- Master's degree in Computer Science, Health Information Management (HIM), Data Analytics, or a related fields.
Additional Details
Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status or other characteristics protected by state or federal law.
ACCOMMODATIONS: EHC will provide reasonable accommodation to qualified individuals with disabilities upon request. To request this document in an alternate format or to request a reasonable accommodation, please contact the Office of Leave and Accommodations.
PHYSICAL REQUIREMENTS: (Medium-Heavy) 36-75 lbs., 0-33% of the work day (occasionally); 20-35 lbs., 34-66% of the workday; (frequently); 10-20 lbs., 67-100% of the workday (constantly); Lifting 75 lbs. max; Carrying of objects up to 35 lbs.; Occasional to frequent standing & walking; Occasional sitting; Close eye work (computers, typing, reading, writing); Physical demands may vary depending on assigned work area and work tasks.
ENVIRONMENTAL FACTORS: Factors affecting environmental conditions may vary depending on the assigned work area and tasks. Environmental exposures include, but are not limited to: Blood-borne pathogen exposure; Bio-hazardous waste Chemicals/gases/fumes/vapors; Communicable diseases; Electrical shock; Floor Surfaces; Hot/Cold Temperatures; Indoor/Outdoor conditions; Latex; Lighting; Patient care/handling injuries; Radiation; Shift work; Travel may be required; Use of personal protective equipment, including respirators; environmental conditions may vary depending on assigned work area and work tasks.
Skills
SQL
AWS
Tableau
Azure
Microsoft Excel
Power BI
Python
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