Data Analyst Healthcare Delivery at Central Health

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 and operational analytics for Central Health. Under the general direction of our Lead Data Scientist, our Data Analyst is responsible for organizing, analyzing, and reporting on data from large clinical, financial and enrollment data sets. The Data Analyst will also assist in the design and development of data warehouses, 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.

****Hybrid = Individuals in this position may work both at an approved off-site locationand onsite at a primary location or multiple locations based on business needs

Essential Functions

• Collect and document business requirements for reporting and analysis initiatives with customers.
• Perform quantitative and/or qualitative data analysis and prepare results to share with internal and external customers.
• Aid in design and development of data warehouse/data mart applications.
• Interact with IT Team and Business Units to interpret dashboard requirement specifications and assist in the development and implementation of dashboards for Central Health.
• Utilize SQL or other advanced analytic tools to perform data extract, integration and query functions.
• Identify and troubleshoot data anomalies and irregularities.
• Prepare written and oral reports that communicate necessary information to internal and externalcustomers.
• Produce and streamline as needed ongoing monthly, quarterly and annual reports in support of CentralHealth.
• Become a data subject matter expert (SME) and understand various sources and applications of Central Health data.
• Performs other duties as assigned.

MINIMUM EDUCATION:

• Bachelor's degree in related field

Work Experience:

• 2 years in healthcare, statistics, experimental research, data science, reporting and analytics, economics, or public health.
• 1 year in SQL (preferably T-SQL) or Python scripting.

Licenses and Certifications:

• Epic certification or accreditation within 9 months of hire date.