Data Analyst

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 Analytics

Quality 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-end

Epic reporting development. They will also assist in the design and validation of datamarts, performance

dashboards and other systems that support the needs of an integrated network of physicians, safety net providers

and hospitals to advance care that is patient centered, equitable and data driven.

Develop and maintain complex SQL and/ or Python queries to retrieve, join, and summarize data from multiple

sources, initially in SQL Server and later within Snowflake.

Develop, validate, and maintain analytical reports, dashboards and visual analytics (e.g., Power BI, Tableau) to

communicate findings effectively to stakeholders.

Use analytical reasoning to interpret trends, relationships, and outliers; synthesize findings into actionable insights

for business, operational, or clinical teams.

Collaborate with operational, business and clinical units to define metrics, KPIs, and performance indicators aligned

with organizational goals and document business rules and transformation logic that support consistent use of data

across reports.

Translate complex data into clear insights and visualizations that highlight trends, opportunities, and areas for

improvement.

Perform data validation, reconciliation, and spot checks to ensure accuracy and reliability of data migrated from

on-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 BI

Leverage Epic Clarity and Caboodle as a primary EHR data source for analysis, ensuring data accuracy and

consistency across reporting environments.

Aid in the development and validation of analytic datasets within Epic Caboodle to support enterprise reporting and

population 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 process

enhancements and automating manual workflows.

Work closely with Data Engineering, Integration, and Governance teams to ensure data definitions, lineage, and

access controls are properly maintained.

Become a data subject matter expert (SME) and understand various sources and applications of Central Health

data.

Performs other duties as assigned.