Healthcare data professional with extensive experience in analyzing and interpreting complex datasets to drive healthcare improvement. Known for collaborative approach and commitment to achieving impactful results. Reliable team player capable of adapting to evolving project needs and leveraging analytical skills to support clinical and operational goals.
Overview
9
9
years of professional experience
Work History
Senior Healthcare Data Analyst (Remote)
Sentara Healthcare
01.2021 - Current
Developed custom reports in Excel and Tableau tailored to stakeholder needs, facilitating informed decision-making at all levels of the organization.
Standardized metrics across multiple departments, enabling consistent evaluation and benchmarking of performance indicators.
Enhanced patient care quality by identifying trends and patterns in healthcare data, from HEDIS Quality metrics, Inpatient, Pharmacy, Professional, and Outpatient claims.
Improved data accuracy by conducting thorough data validation and cleansing processes.
Managed large datasets, ensuring timely delivery of accurate and relevant information to stakeholders.
Compiled, cleaned and manipulated data for proper handling.
Assisted cost of care stakeholders with health plan cost-saving initiative ideation through data stewardship and adoption.
Lead multiple analytic projects from initiative creation to closure, including deadline setting, customer management, and communication, and issue resolution.
Onboarded new team members and provide guidance and mentorship to junior analysts.
Data Analyst
University Physicians’ Association
01.2017 - 01.2021
Produced monthly HEDIS and HCC reports using advanced Excel spreadsheet functions.
Created various Excel documents to assist with pulling healthcare metrics data and presenting information to stakeholders for concise explanations of best placement for needed resources.
Improved decision-making processes with accurate data analysis and visualization techniques.
Integrated multiple sources of disparate data into cohesive datasets using ETL processes, improving overall analytic capabilities.
Automated routine data analysis tasks, freeing up time for more complex analysis.
Conducted comprehensive data analysis to support strategic planning, leading to more informed decision-making.
Conducted ad-hoc analysis to address urgent business questions, facilitating rapid response to market changes.