Business Intelligence Developer III

Position Overview:

* THIS POSITION IS REQUIRED TO WORK ONSITE 2 DAYS PER WEEK IN SACRAMENTO

An advanced analytical professional who exercises independent judgment to solve complex business questions. Requires both domain or business and technical analytics expertise. As a deep domain subject matter expert, this role builds predictive models, delivers actionable insights, and leads project teams to drive specific operational or financial decisions. This position is an independent professional contributor within their respective department or business unit.

Bridges the gap between raw data and actionable strategy. Focuses on business value—leading business and technical requirements gathering, building rapid proofs-of-concept (POCs), and presenting data-driven recommendations to operational leaders. Working with minimal oversight, this role applies advanced analytical skills to novel business problems where no clear procedure exists and informally mentors junior team members.

[Equivalent experience will be accepted in lieu of the required degree or diploma]

• Bachelor’s degree in Business Analytics, Healthcare Administration, Statistics, Economics, Finance, Computer Science, or a related field

• Epic Cogito Certification
  within one year of start date.
• One tool-specific certification
  (Microsoft Certified: Power BI Data Analyst Associate OR Tableau Certified Data Analyst) within one year of start date.

• 5 years recent relevant experience.

• Progressive experience in Data Analytics, Business Intelligence, or a related analytical role.
• Proven experience independently solving complex business problems using advanced analytics and predictive modeling.
• Strong experience building advanced models and dashboards in a primary visualization tool (Tableau or Power BI).
• Experience writing advanced SQL queries for complex data exploration and extraction.
• Experience leading small-to-medium analytical projects.
• Analytics:
  Advanced understanding of statistical analysis, forecasting, and predictive modeling concepts.
• Tools:
  Advanced proficiency in data visualization platforms (Tableau, Power BI) or in application tools and advanced Excel modeling.
• Data Access:
  Advanced SQL skills (SELECT, JOIN, GROUP BY, CTEs) for independent data extraction and exploration.
• Communication:
  Excellent data storytelling and presentation skills; ability to influence non-technical stakeholders.
• Problem Solving:
  Strong ability to exercise independent judgment and tackle novel, ambiguous business questions.