Business Intelligence And Analytics Manager Jobs in California

Manages intake submissions of new requests, monthly deployments, and release schedules

Positive, team-oriented attitude with a passion to inspire others. Experience as a people leader and leading cross-functional teams is preferred.

Proven experience leading through ambiguity and ability to flexibly adapt to shifting business priorities, internal, and market forces

Brings thought leadership and develops others on possibilities in this product area

Identifies goals, metrics and analytics to determine product value, continually makes recommendations and refinements to the product backlog based on learnings

Bachelor's degree in Business Administration, Business Information Systems, Computer Science, or related fields

Collaborate with senior management to understand business requirements and provide data-driven recommendations

Create and present comprehensive reports and dashboards that communicate key insights and performance metrics to senior management

At least 4 years of proven experience in leading business intelligence and data analytics teams in a technology-focused organization

Excellent communication and presentation skills, with the ability to convey complex technical concepts to non-technical stakeholders

Demonstrated strategic thinking and problem-solving abilities with a focus on driving business outcomes through data insights

Lead and manage a team of data analysts and business intelligence professionals, fostering a collaborative and results-oriented environment

An equivalent mix of relevant education and work experience is REQUIRED

Proven track record of leadership, time-management, project management, and teamwork.

Take an enterprise mindset, linking individual responsibilities with broader organization; focus on outcomes that provide most business and patient value.

5+ years of relevant work experience OR

Experience synthesizing concise summaries focused on the key insights that inform business decisions.

Experience with revenue forecasting, including patient-flow methods, statistical methods, and uncertainty analysis.