Central Health

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Data Analyst

Req No.
2025-10145
Company
Central Health
Job Locations
US-TX-Austin
Type
Regular Full-Time

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 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.

Responsibilities

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.

Qualifications

MINIMUM EDUCATION:

  • Finance, Mathematics,
    Economics, Statistics,
    Actuarial Science,
    Computer Science,
    Engineering or related
    quantitative discipline.
    Hands on experience with
    healthcare data analysis
    can substitute for for
    specific fields of study.

Work Experience:

  • 2 years
    of experience in healthcare, statistics, experimental
    research, data science, reporting
    and analytics, economics, or public health.
    Required
    And
    1 year
    of experience in SQL (preferably T-SQL) and Python
    scripting with an intermediate to advanced level of
    expertise
    Required
    1 year
    of experience in report development within Epic EMR
    using Clarity, Caboodle, SlicerDicer, Reporting
    Workbench, Radar
    Preferred
    Familiarity with health care claims processing including
    billing codes
    Preferred
    Experience using statistical analysis software such as
    SAS, R, or Python. Preferred
    1 year of experience with Power BI or Tableau. Required
    1 year experience in Azure/ Snowflake environment. Preferred

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