Senior Business Intelligence Analyst Jobs
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External Relations at the University of Virginia (UVA) is seeking a highly qualified candidate to fill the role of Associate Director of Business Intelligence & Analytics. The University of Virginia has a strong and reputable advancement community, boasting effective, results-oriented, and resourceful professionals. Our community comprises a robust central advancement organization, 12 University schools, and more than 25 University-related programs. We offer a wide variety of career opportunities, as well as an outstanding environment for professional growth and development.
Position Summary
The Associate Director of Business Intelligence & Analytics is a senior individual-contributor role within University Advancement, responsible for translating broad and complex data streams into actionable insight for Advancement leadership, prospect managers, and front-line development officers. This role is central to the analysis of the institution's prospect pipeline, the design and administration of the data warehouse and reporting infrastructure that supports it, and the governance practices that keep Advancement data accurate, secure, and usable. The Associate Director combines hands-on technical work — data warehouse development, ETL design, dashboard and report creation — with vendor and stakeholder engagement and strategic guidance on how data and analytics can advance fundraising performance. This position has no direct reports but serves as a technical resource and mentor to colleagues on the Business Intelligence team.
Responsibilities
Technical Resource & Collaboration
- Lead individual projects and contribute actively in team meetings, helping set technical direction and maintain a consistent standard of quality across Business Intelligence work.
- Serve as a technical resource and mentor to colleagues on the Business Intelligence and Prospect Management & Research teams and represent the department through presentations and training for partners across the organization.
- Liaise with partners across the university on data projects, practices, and procedures.
- Review systems and processes on an ongoing basis and advise leadership on potential improvements and recommendations.
- Evaluate reporting products and vendor-provided packages for their effectiveness in supporting Advancement's business needs.
Prospect Pipeline Analysis & Reporting
- Analyze the university's prospect pipeline to generate insights that drive fundraising activity and strategy.
- Conduct strategic data review and analysis, producing reports and data extracts using SQL, Tableau, and other BI tools, and translate that analysis into recommendations that inform business process.
- Support effective management of the prospect pool and pipeline by applying sophisticated data manipulation and reporting skills across all areas of prospect and pipeline development.
- Conceptualize, analyze, and contribute to the design of unit-wide data visualizations and reports assessing portfolios, pipelines, and development officer and unit progress against performance and campaign goals.
- Review, monitor, and contribute to prospect and proposal pipeline data through custom report audits, extracts, data analysis, and ongoing communication with University Advancement partners.
- Provide reporting and analysis support for campaign progress, annual giving, and engagement.
- Contribute to ad hoc data and analytics requests as they arise.
Data Warehouse, ETL & Systems Administration
- Design, build, and maintain Snowflake data warehouse objects — including dynamic tables, stored procedures, and user-defined functions — to support scalable, efficient reporting infrastructure.
- Develop and maintain fact and dimension models that support a robust data warehouse and reporting architecture.
- Apply a strong understanding of source-to-target ETL processes and multi-layer database design to ensure data integrity across systems.
- Manage database permissions and roles to ensure appropriate data governance, security, and access control.
- Create and modify AWS AppFlow configurations to support data integration and flow between systems.
- Administer Tableau Server, including sites, permissions, data sources, and publishing workflows.
- Administer Salesforce, including users, permissions, and data configurations supporting Advancement business needs.
- Lead data conversion efforts, ensuring the accuracy and integrity of data migrated across systems and platforms.
- Manage and collaborate using Azure Git Repos for version control of code, scripts, and database objects.
Professional Growth
- Pursue professional development opportunities that enhance job performance, including advancing analysis and visualization skills, conference attendance, and building networks within the university and at peer institutions.
- Remain current on philanthropic trends affecting higher education.
- Perform other duties within the scope of the position as assigned.
The ideal candidate will have strong analytical and problem-solving skills, with the ability to translate complex data into clear, actionable recommendations for non-technical audiences, excellent written and verbal communication skills, including the ability to present technical concepts to varied stakeholders, demonstrated ability to manage multiple priorities, projects, and deadlines in a fast-paced environment sound judgment regarding data privacy, security, and governance, a collegial, service-oriented approach to working with internal partners and cross-functional teams, and the ability to informally mentor and share technical expertise with colleagues without formal supervisory authority.
Minimum Qualifications
Education & Experience
- Master's degree, or foreign equivalent, in a relevant field (e.g., data science, business analytics, information systems, statistics, or related discipline).
- A minimum of five (5) years of progressive experience in data science and/or business intelligence.
- Non-profit or higher-education advancement experience.
Preferred Qualifications
- Manipulating data and creating and refining data visualizations and dashboards.
- Working across a variety of databases and software tools (e.g., Snowflake, Oracle, SQL Server, or similar).
- Snowflake data warehouse development, including dynamic tables, stored procedures, functions, and fact/dimension modeling.
- Source-to-target ETL processes and multi-layer database architecture.
- Managing database permissions, roles, and access control.
- Creating and configuring AWS AppFlow integrations.
- Quantitative and qualitative analysis.
- SQL, Tableau, and/or other comparable business intelligence tools.
- Tableau Server administration.
- Salesforce administration.
- Data conversion projects.
- Version control tools, such as Azure Git Repos.
- Leading individual projects or initiatives (project leadership, not staff supervision).
- Designing, implementing, and maintaining data warehouses.
- Data governance principles and practices.
- Partnering with key stakeholders to provide business analysis that drives organizational performance.
Note: Knowledge in any of the above areas may be demonstrated through a combination of education, training, and/or experience.
Physical Demands
This is primarily a sedentary job involving extensive use of desktop computers. The job does occasionally require traveling some distance to attend meetings, and programs.
Salary Range
- The anticipated hiring range is $90K – 95K / year, commensurate with education and experience.
Position Type & Work Location
- This is an exempt-level, benefited position. Learn more about UVA benefits.
- This is a restricted position, which is dependent on funding and is contingent upon funding availability.
- UVA External Relations offers a flexible and hybrid workplace. All team members must have access to and maintain a secure home office environment with high-speed internet service and work collaboratively with others using a variety of technologies and tools. This hybrid position can be worked remotely, with the expectation of being in Charlottesville, VA, a minimum of four times a year at UVA’s expense.
About UVA and the Community
To learn more about UVA and in the Charlottesville area, visit UVA Life and Embark CVA.
Application Timeline
Application review will begin after November 4 2026
Additional Requirements
- Background checks will be conducted on all new hires prior to employment.
- This position will not consider candidates who require immigration sponsorship now or in the future.
How to Apply
Please apply online, by searching for requisition number R0088905 . Complete an application with the following documents:
- Resume
- Cover Letter
Upload all materials into the resume submission field. You can submit multiple documents into this one field or combine them into one PDF. Applications without all required documents will not receive full consideration.
Reference Check Process
Reference checks will be completed by UVA’s third-party partner, SkillSurvey, during the final phase of the interview. Five references will be requested, with at least three responses required.
Contact
- For questions about the application process, please contact Bill Crane, Xer5ff@virginia.edu.
The University of Virginia is an equal opportunity employer. All interested persons are encouraged to apply, including veterans and individuals with disabilities. Click here to read more about UVA’s commitment to non-discrimination and equal opportunity employment.
The University of Virginia is an equal opportunity employer. All interested persons are encouraged to apply, including veterans and individuals with disabilities. Learn more about UVA’s commitment to non-discrimination and equal opportunity employment.
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Who's Hiring
- CVS Health49

- Amazon41

- Amazon Web Services11

- Marine Credit Union10

- JPMorganChase6

Top Industries Hiring
- Technology & Software27
- Manufacturing9
- Education7
- Healthcare & Medical Services6
- Consulting & Professional Services6
What Employers Look For
The qualifications that appear most often in senior business intelligence analyst jobs.
- Five or more years of experience in business intelligence, analytics, or data engineering roles
- Advanced proficiency in SQL and at least one major BI platform such as Tableau, Power BI, or Looker
- Experience designing and maintaining data models, star schemas, or dimensional warehouses
- Strong communication skills for presenting findings to non-technical stakeholders and executives
- Proficiency in Python or R for data manipulation, automation, or advanced statistical analysis
- Familiarity with cloud data platforms such as Snowflake, BigQuery, Redshift, or Azure Synapse
Tips for Your Senior Business Intelligence Analyst Job Search
Quantify impact on your resume
Hiring managers for senior BI roles want to see outcomes, not tasks. Replace vague bullets like 'built dashboards' with specifics: how many stakeholders used the report, how the insight changed a business decision, or how much manual work your automation replaced.
Match your tools to the listing
Senior BI roles often filter hard on stack. If the posting names Power BI, Tableau, or Looker, mirror that exact terminology in your resume. Calling the same skill 'data visualization' without naming the platform can get your application filtered before a human reads it.
Apply early to roles that fit
Migrate Mate lists senior business intelligence analyst openings from across the United States in one place, so you can find roles that match and apply directly to each listing.
Target industries where your domain knowledge applies
Senior BI analysts who can speak the business language of a specific industry, healthcare claims, retail inventory, or financial risk, stand out over generalists. Filter openings by sector and lead your cover letter with the domain context you bring, not just your technical skills.
Prepare a SQL case study for technical screens
Most senior BI interviews include a live SQL or data modeling exercise. Practice writing window functions, CTEs, and multi-join queries under time pressure. Know how to explain your query logic out loud, because interviewers assess communication as much as correctness.
Negotiate scope, not just compensation
At the senior level, ask about data governance authority, team structure, and executive access during the offer stage. Knowing whether you'll own end-to-end pipelines or hand off to engineering tells you far more about day-to-day satisfaction than the title alone.
Senior Business Intelligence Analyst Jobs: Frequently Asked Questions
Which companies are hiring the most senior business intelligence analysts?
The companies hiring the most senior business intelligence analysts right now include CVS Health, Amazon, and Amazon Web Services, with the largest share of openings in California, Texas, and Washington, based on current listings on Migrate Mate as of November 2026. Demand is consistent across large enterprises, healthcare systems, and technology companies that rely on self-service analytics.
How many senior business intelligence analyst jobs are remote?
About 77% of senior business intelligence analyst openings are fully remote or hybrid as of November 2026, making it one of the more flexible roles in the data field. Positions focused on enterprise reporting, dashboard development, and ad hoc analysis tend to be the most remote-friendly, while roles tied to on-site data governance or executive briefings more often require in-office presence.
How do you become a senior business intelligence analyst?
Most senior BI analysts start with a degree in information systems, statistics, computer science, or a related field, then spend several years in analyst or data roles building SQL, data modeling, and visualization skills. Advancing to senior level typically requires demonstrating ownership of a full BI solution, stakeholder management experience, and the ability to translate ambiguous business questions into structured analysis without close supervision.
Can you get hired as a senior business intelligence analyst without direct experience in the role?
Candidates who move into senior BI roles from adjacent positions, such as data analyst, reporting analyst, or database developer, are common. The key is showing that you've independently owned a reporting product or data pipeline, not just contributed to one. A strong portfolio with documented business impact and proficiency in current BI tools can offset a title mismatch when your scope of work aligns with senior-level expectations.
What does the senior business intelligence analyst interview process look like?
The process typically starts with a recruiter screen focused on your background and tool experience, followed by a hiring manager conversation about past projects and stakeholder work. A technical round usually includes a SQL or data modeling exercise, sometimes live. Final rounds often involve a business case presentation where you walk through how you'd approach an analytics problem, and a panel discussion with cross-functional partners or leadership.
Where can I find and apply to senior business intelligence analyst jobs?
You can find and apply to senior business intelligence analyst jobs on Migrate Mate, which lists current openings from across the United States. Find roles that match your experience and specialization, then apply directly to each listing from the same place.
See All 839+ Senior Business Intelligence Analyst Jobs
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