Senior Analytics and Data Solutions Specialist

This position is not eligible for employment visa sponsorship. Applicants must be authorized to work in the United States on a full-time ongoing basis without the need for sponsorship now or in the future.

Special Instructions to Applicants:

All interested applicants should attach a resume and cover letter in the Supporting Documents section of the application preferably in PDF format. Your materials should demonstrate your knowledge skills and experience in translating complex business needs into technical solutions using advanced analytics including predictive modeling and statistical analysis to drive institutional decision-making.

About Rice:

Boasting a 300-acre tree-lined campus in Houston Texas Rice University is ranked among the nations 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 lecture 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 shaping Rices 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:
The Institutional Research and Analytics (IRA) team within the Office of Institutional Data Evaluation Analytics and Strategy (IDEAS) seeks a versatile data professional who can translate advanced analytics and predictive modeling into scalable actionable solutions for campus partners. Reporting to the Executive Director of Institutional Research and Analytics the Senior Analytics and Data Solutions Specialist serves as a high-level consultant and advanced analytics lead within the Institutional Research and Analytics team. This position is responsible for designing and implementing predictive and statistical models to address complex research questions while building sustainable accurate data sources. A critical component of this role is serving as a technical mentor promoting the adoption of reproducible research methodologies and a consistent advanced analytics framework across the team. By leveraging domain expertise in higher education and advanced analytics methodologies this role develops scalable data solutions and predictive models that directly inform institutional strategy.

Ideal Candidate Statement:
The ideal candidate operates comfortably at the intersection of stakeholder partnership and advanced analytics. You combine strong technical execution with the ability to translate complex institutional needs into rigorous reproducible analytical solutions using Python R and/or SQL. You understand the interconnected nature of admissions student HR research and finance data and can apply advanced statistical and predictive modeling techniques to deepen and extend existing reporting and analytical practices. As a mentor and technical leader you will help the team broaden its analytical toolkitbuilding on a strong foundation of descriptive analysis to incorporate predictive and prescriptive approaches that inform institutional strategy.

Workplace Requirements:
This position is offered as a hybrid role combining both in-office and remote work to provide flexibility and support collaboration. Occasional work-related travel is expected. For the right candidate this could be a fully remote position permitting all tasks to be completed from any location within the United States with working hours remaining standard Central Time. Per Rice policy 440 work arrangements may be subject to change.

Hiring Range: $100000$120000 (commensurate with experience)
*Exempt (salaried) positions underFLSA are not eligible for overtime.

Minimum Requirements:

• Bachelors degree in a relevant field (data science statistics social sciences or a related area)
  • In lieu of the education requirement additional related experience beyond what is required may be substituted on an equivalent year-for-year basis
• Minimum of 4 years of professional work experience in data management data science or analytical solution development
  • In lieu of the experience requirement additional related education beyond what is required may be substituted on an equivalent year-for-year basis
• Skills:
  • Solution Translation: Demonstrated ability to partner with diverse stakeholders to translate complex business needs into clear technical specifications analytical approaches and decision-ready deliverables
  • Advanced Analytics and Modeling: Proficiency in Python and/or R to conduct advanced statistical and predictive modeling (e.g. regression classification clustering forecasting). Ability to select and apply appropriate methodologies to solve institutional research questions
  • Data Management: Advanced experience querying and transforming data within centralized enterprise data platforms including strong SQL proficiency
  • Analytic Development and Data Communication: Experience developing enterprise-scale dashboards (e.g. Tableau) and communicating complex findings through clear data visualization and narrative storytelling tailored to executive audiences

Preferences:

• 5 years of professional work experience
• Experience in higher education or similarly complex institutional environments
• Experience working with student lifecycle HR finance or research administration data systems
• Masters or doctoral degree preferred

Essential Functions:

• Stakeholder Consultation & Solution Design (30%): Partners with campus leadership and subject matter experts to define analytical needs and clarify research questions. Independently determines appropriate analytical methodologies modeling approaches and data presentation strategies to deliver actionable solutions
• Advanced Analytics & Modeling (30%): Designs and implements advanced statistical and predictive modeling approaches to address complex institutional questions. Applies appropriate modeling techniques ensuring models are interpretable well-documented and decisionrelevant
• Sustainable Data Development (20%): Designs and maintains scalable reliable data pipelines and analytical workflows that support both descriptive reporting and predictive modeling. Automates data preparation and validation processes to ensure accuracy reproducibility and longterm sustainability
• Technical Mentorship (15%): Guides the continued evolution of the teams advanced analytics practice. Promotes reproducible research standards and supports the expansion of predictive and prescriptive analytical capabilities
• Documentation & Quality Assurance (5%): Develops comprehensive technical documentation and ensures analytical products meet institutional standards for data governance accuracy transparency and reproducibility

Additional Functions:

• Contributes to special projects and emerging priorities as needed to advance departmental and institutional goals. Duties may expand or shift in alignment with strategic initiatives
• Performs other duties as assigned to support departmental and institutional priorities

Rice University HR Benefits: Mission and Values: Mission and Values Rice University

Rice University is committed to ensuring Equal Employment Opportunity and welcoming the fullness of diversity into our candidate pools. Rice considers qualified applicants for employment without regard to race color religion age sex sexual orientation gender identity national or ethnic origin genetic information disability or protected veteran status. Rice also provides reasonable accommodations to qualified persons with disabilities. If an applicant requires a reasonable accommodation for any part of the application or hiring process please get in touch with Rice Universitys Human Resources Office via email at for support.

If you have any additional questions please email us at Thank you for your interest in employment with Rice University.