Central Health

Compensation

Full Description

Overview Central Health's Data Analyst will work alongside a team of other collaborative and engaged data analysts,epidemiologists, biostatisticians and data scientists to serve as a key resource for business intelligence,performance, clinical and operational analytics for Central Health. Under the general direction of the AnalyticsQuality Manager, our Data Analyst is responsible for organizing, analyzing, and reporting on data from large EHR,clinical, financial and enrollment data sets. This analyst will act as an Epic subject matter expert for front/back-endEpic reporting development. They will also assist in the design and validation of datamarts, performancedashboards and other systems that support the needs of an integrated network of physicians, safety net providersand hospitals to advance care that is patient centered, equitable and data driven. Responsibilities Develop and maintain complex SQL and/ or Python queries to retrieve, join, and summarize data from multiplesources, initially in SQL Server and later within Snowflake.Develop, validate, and maintain analytical reports, dashboards and visual analytics (e.g., Power BI, Tableau) tocommunicate findings effectively to stakeholders.Use analytical reasoning to interpret trends, relationships, and outliers; synthesize findings into actionable insightsfor business, operational, or clinical teams.Collaborate with operational, business and clinical units to define metrics, KPIs, and performance indicators alignedwith organizational goals and document business rules and transformation logic that support consistent use of dataacross reports.Translate complex data into clear insights and visualizations that highlight trends, opportunities, and areas forimprovement.Perform data validation, reconciliation, and spot checks to ensure accuracy and reliability of data migrated fromon-prem to cloud systems.Support the development of automated data pipelines and quality checks in collaboration with data engineers.Utilize SQL and Python for data querying, modeling, staging, reporting automation.Create reports and dashboards in the Epic EHR as well as reports and dashboard in Power BILeverage Epic Clarity and Caboodle as a primary EHR data source for analysis, ensuring data accuracy andconsistency across reporting environments.Aid in the development and validation of analytic datasets within Epic Caboodle to support enterprise reporting andpopulation health initiatives.Participate in the development of data dictionaries, metadata documentation, and validation routines.Identify and troubleshoot data anomalies and irregularities.Contribute to continuous improvement of data quality and analytic capabilities by identifying processenhancements and automating manual workflows.Work closely with Data Engineering, Integration, and Governance teams to ensure data definitions, lineage, andaccess controls are properly maintained.Become a data subject matter expert (SME) and understand various sources and applications of Central Healthdata.Performs other duties as assigned. Qualifications MINIMUM EDUCATION: Finance, Mathematics,Economics, Statistics,Actuarial Science,Computer Science,Engineering or relatedquantitative discipline.Hands on experience withhealthcare data analysiscan substitute for forspecific fields of study. Work Experience: 2 yearsof experience in healthcare, statistics, experimentalresearch, data science, reportingand analytics, economics, or public health.RequiredAnd1 yearof experience in SQL (preferably T-SQL) and Pythonscripting with an intermediate to advanced level ofexpertiseRequired1 yearof experience in report development within Epic EMRusing Clarity, Caboodle, SlicerDicer, ReportingWorkbench, RadarPreferredFamiliarity with health care claims processing includingbilling codesPreferredExperience using statistical analysis software such asSAS, R, or Python. Preferred1 year of experience with Power BI or Tableau. Required1 year experience in Azure/ Snowflake environment. Preferred