Data Analyst

Job Title: Data Analyst

Key Responsibilities:

Create and maintain complex data extracts using Python, SQL, Excel, and flat files (CSV, etc.), and send them to internal/external teams on a specific schedule.
Ingest data from various formats provided by internal teams/external vendors into our databases.
Automate data extract jobs and reports using Python scripts.
Support ad hoc requests from management for data analysis.
Create dashboards and reports using Power BI.
Collaborate with different teams across the organization to address data needs.
Re-engineer departmental data processes.

Minimum Qualifications:

Expertise in Python/Pandas, SQL, and automation.
Experience in operations: coding in Python and SQL, running, monitoring, automating, and overseeing data processing jobs.
Proficiency in data file/flat file parsing, ingesting data from flat files into databases, and sending data extracts in agreed formats to internal/external vendors.
Strong data analysis skills using Python/SQL on data stored in RDBMS like Oracle, Snowflake, Teradata, and SQL Server.
Ability to automate jobs and re-engineer data processes within the department.
Experience as an internal customer-facing lead/contributor.
Ability to navigate and identify organizational resources and subject matter experts in a decentralized organization.
Proficiency in creating Power BI reports and dashboards.
Familiarity with healthcare domain data formats such as HL7 V2 and HL7 V3.
Ability to multitask on multiple projects simultaneously.

Desired Qualifications:

Healthcare experience

Location: California