CDCE Data Analyst
Indexed description
- 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
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
- 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.
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.
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