Senior Business Intelligence Analyst

Special Instructions to Applicants:

Applicants must be currently authorized to work in the United States on a full-time basis. We are unable to provide sponsorship now or in the future for this position. This includes, but is not limited to H-1B, TN, and F-1 visa sponsorship (CPT/OPT). 

All interested applicants should attach a resume in the Supporting Documents section of the application, preferably in a PDF format to avoid any formatting issues.

About Rice:

Boasting a 300-acre tree-lined campus in Houston, Texas, Rice University is ranked among the nation’s top 20 universities by U.S. News & World Report. Rice has a 6-to-1 undergraduate student-to-faculty ratio, and a residential college system, which supports students intellectually, emotionally and culturally through social events, intramural sports, student plays, lectures series, courses and student government. Developing close-knit, diverse college communities is a strong campus tradition, which is why Rice is highly ranked for best quality of life and best value among private universities.

Rice is also a wonderful place to work. Rice faculty, staff and students share values that are essential to our success as a healthy community. Those values guide our decisions and behaviors and shape Rice’s culture. They come through in the way we treat each other and the welcome we extend to our visitors. These values can be recalled simply by our name — RICE — Responsibility, Integrity, Community and Excellence.

Position Summary:

We are seeking a Senior Business Intelligence Developer to lead our Data Warehouse and Business Intelligence (BI) initiatives, with a focus on enhancing data-driven decision-making in the context of higher education. The ideal candidate will use agile methodologies to develop and improve data-centric solutions that support the university’s strategic objectives. Key responsibilities include designing, developing, and maintaining BI solutions, creating insightful dashboards, and applying storytelling techniques to communicate data insights effectively to academic and administrative stakeholders.

Ideal Candidate Statement:

This role requires strong technical skills in data warehousing, BI tools, and data visualization, alongside experience working in agile development environments. The successful candidate will collaborate with stakeholders across the university to turn complex requirements into actionable insights, contribute to the design and architecture of robust data systems, and promote best practices in data management and BI. This is a unique opportunity to play a pivotal role in projects that advance the university's mission and foster a culture of innovation and data-driven excellence in higher education.

Workplace Requirements:

Hybrid position: This position is offered as a hybrid role, combining both in-office and remote work to provide flexibility and support collaboration. Per Rice policy 440, work arrangements may be subject to change.

Hiring Range: $95,900 - $106,488
*Exempt (salaried) positions under FLSA are not eligible for overtime.

Minimum Requirements:

• Bachelor's Degree
  • In lieu of the education requirement, additional related experience, above and beyond what is required, may be substituted on an equivalent year-for-year basis
• 4+ years of related experience
  • In lieu of the experience requirement, additional related education above and beyond what is required may be substituted on an equivalent year-for-year basis

Skills:

• A Business Intelligence Analyst IV is a senior-level professional with extensive experience in data analysis, reporting, and business intelligence. This role involves leading and executing complex analytical projects, providing strategic insights, and contributing to the overall data-driven decision-making process
• Advanced analytical and problem-solving skills, with a deep understanding of statistical analysis and data modeling
• Proven leadership experience in leading complex analytical projects and managing teams
• Expertise in advanced data visualization tools, BI platforms, statistical software, and programming languages (e.g., P