• The Data Analyst I provides extensive statistical and data programming support across multiple projects within the Patient-Centered Research (PCR) group. • Manage and analyze research data • Review and provide input into statistical analysis plan (SAP), study reports, and other relevant documentation for internal or external communication • Attend regular meetings with research teams

Role Description The Clinical Documentation Integrity (CDI) data analyst is responsible for strategic and operational support through the analysis of clinical, financial, and coding claims data. This role requires leveraging abstraction and analysis of datasets such as MEDPAR, Vizient, Quality and internal claims data to benchmark performance and identify areas for improvement in CDI, coding and provider documentation practices. The CDI Data analyst will play a key role in driving improvements in case mix index (CMI), risk adjustment, and departmental focus on identified trends. The CDI Data Analyst will work directly with CDI Director and closely with vendors to obtain data analysis insights through applications such as EPIC, Solventum and Vizient to support business processes, working in collaboration with digital teams to make appropriate business application decisions. Primary Duties and Responsibilities: - Data extraction and Validation: - The CDI analyst is advanced in programming language. Ability to write code, merge data from multiple sources, validate findings and mine unstructured data for meaningful metrics. - Collecting, analyzing, and interpreting clinical documentation data to identify trends, patterns and areas for improvement. - Performance Metrics and Trend Analysis: - Analyze data trends in documentation quality to identify patterns and gaps for areas of focus and improvement for financial and quality health. - Reporting and Dashboard Development: - Create dashboards and visual reports for CDI Leadership, physicians and quality teams to determine actionable metrics. - Track KPI such as financial impact, risk adjustment trends, quality PSI/HAC Trends, and provider performance. - Support compliance and Audit Readiness: - Monitor documentation practices for alignment with CMS, ICD-10 and Payer requirements. - Assist in preparing data for internal audits and external reviews. - Collaboration and Strategic Insights: - Work with CDI Specialists, coders, and clinical teams to translate data insight into documentation strategies. - Provide feedback loops to improve provider education and CDI workflows. Travel: Less than 10% of the time may be required. Work Type: Remote employee - Works from locations outside traditional office, often from home or another remote setting. Qualifications - Bachelor's degree in Computer Sciences, HIM, Data analytics, Nursing - 4 years minimum experience - Knowledge of SQL, SAS, Python, Excel, Power-BI, Tableau, AWS/Azure, and cloud applications - Strong analytical and problem-solving skills - Proficiency in data analysis tools - Excellent communication and interpersonal skills - Ability to work independently and as part of a team - Knowledge of clinical documentation standards, regulatory requirements and healthcare industry practices Requirements - Master's Degree in Computer Sciences, HIM, Data analytics, Nursing (preferred) - 6 years minimum experience (preferred) - Licensed Registered Nurse, GA Board of Nursing certified (preferred) Benefits - 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

• Lead end-to-end analytical projects, from exploratory analysis and methodology selection through insight development and final delivery • Develop quantitative models and advanced analytical solutions to support client decision-making across marketing, real estate, and consumer strategy initiatives • Analyze large and complex datasets to identify trends, behavioral patterns, and actionable business insights • Design and execute ad hoc analyses using Python, SQL, and statistical methodologies • Translate analytical findings into clear business recommendations for both technical and non-technical audiences • Work directly with internal stakeholders and clients to scope analytical questions, prioritize opportunities, and deliver strategic insights • Operate independently across multiple projects in a fast-paced environment with minimal oversight • Develop analytical outputs, visualizations, and reporting solutions to support business decision-making • Collaborate cross-functionally to identify opportunities for deeper analysis and expanded client value

• Manage analytics and machine learning projects from kick-off to completion, ensuring their analytic rigor and include actionable results to detect and deter FWA • Guide junior team members in the completion of technical tasks while remaining hands on to analyze claims data and conduct advanced statistical analyses when needed • Use predictive modeling to increase and optimize efficiencies, process improvements, and other business outcomes • Partner with subject matter experts to deliver quality, actionable findings • Present complex analytics and insights in a comprehensible manner to a range of audiences (technical/non-technical) and to various levels of leadership • Identify opportunities for leveraging Medicare and Medicaid data to drive insightful FWA solutions • Advocate for and help implement best practices in data management and analytics to drive continuous improvement • Effectively communicate with team members while working remotely • Perform additional duties as assigned