Senior Level Business Intelligence Analyst Jobs
Senior level business intelligence analyst jobs place experienced professionals in charge of enterprise data strategy, analytical frameworks, and the cross-functional teams that turn insights into decisions. Roles are distributed across on-site, remote, and hybrid settings in Technology & Software, Manufacturing, and Healthcare & Medical Services, with employers like Snap, Amazon, and Citi hiring at this level now.
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We are so glad you are interested in joining Sutter Health!
Organization
SHSO-Population Health Services-Valley
Position Overview
An advanced analytical professional who exercises independent judgment to solve complex business questions. Requires both subject matter and technical expertise. As a deep domain subject matter expert, this role builds complex solutions, 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 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 mentors junior team members.
Education
Bachelor's degree in Business Analytics, Healthcare Administration, Statistics, Economics, Finance, Computer Science, or a related field (Equivalent experience will be accepted in lieu of the required degree or diploma)
CERTIFICATION & LICENSURE
Epic Cogito Certification within one year
Microsoft Certified Power BI Data Analyst Associate within one year
Typical Experience
6 years recent relevant experience.
Skills And Knowledge
- Progressive experience in Data Analytics, Business Intelligence, or a related analytical role.
- Proven experience independently solving complex business problems.
- Strong experience building 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: Understanding of statistical analysis and forecasting modeling concepts.
- 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.
Job Shift
Days
Schedule
Full Time
Days Of The Week
Monday - Friday
Weekend Requirements
As Needed
Benefits
Yes
Unions
No
Position Status
Exempt
Weekly Hours
40
Employee Status
Regular
Sutter Health is an equal opportunity employer EOE/M/F/Disability/Veterans.
Pay Range is $106,745.60 to $160,118.40 / annual salary
The posted pay range is based on the position's primary work location. Candidates who reside and work outside of that location may be subject to a different pay range based on their work location. Candidate starting salaries consider multiple factors, including, but not limited to a candidate’s experience, education, skills, licensure, certifications, departmental equity, training, and organizational needs. Base pay is only one component of Sutter Health’s comprehensive total rewards program. Eligible positions also include a comprehensive benefits package.
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Who's Hiring



Top Industries Hiring
- Technology & Software
- Manufacturing
- Healthcare & Medical Services
- Education
- Insurance
Senior Level Business Intelligence Analyst Jobs: Frequently Asked Questions
How do I get a senior level business intelligence analyst job?
Employers at this level look for candidates who have owned end-to-end BI solutions, not just contributed to them. Strong candidates demonstrate experience defining data models, leading platform migrations or tool selections, and translating ambiguous business problems into measurable analytical programs. A portfolio showing the business outcomes your work drove, combined with evidence of mentoring junior analysts, gives you a clear edge over peers with similar technical credentials.
Which companies hire senior level business intelligence analysts?
Companies hiring senior level business intelligence analysts right now include Snap, Amazon, and Citi, based on current listings on Migrate Mate as of November 2026. Hiring at this level tends to concentrate in organizations with mature data infrastructure, including large enterprises, financial institutions, technology firms, and healthcare systems that rely on BI to support strategic decisions.
Are there remote senior level business intelligence analyst jobs?
Yes, remote and hybrid opportunities are common at the senior level. About 28% of senior level business intelligence analyst openings are remote or hybrid as of November 2026, reflecting the data-centric nature of the work. Senior analysts often operate with more schedule autonomy than their mid-level counterparts, making this one of the more flexible roles in the analytics field.
What makes a business intelligence analyst role senior level?
Senior level roles are defined by ownership and scope rather than task execution. A senior business intelligence analyst sets the analytical direction for a product, department, or business unit, designs the data infrastructure others build on, and makes independent decisions about tooling and methodology. Mentoring junior and mid-level analysts is a routine expectation, and stakeholder management at the director or executive level is standard, not occasional.
Which industries hire the most senior level business intelligence analysts?
Senior level business intelligence analyst roles concentrate in Technology & Software, Manufacturing, and Healthcare & Medical Services, based on current listings on Migrate Mate as of November 2026. These sectors invest heavily in BI at the senior level because competitive advantage is directly tied to the speed and accuracy with which decision-makers can act on data from complex, high-volume operational environments.