Data Analyst - Resource Optimization

Special Instructions to Applicants :

All interested applicants should attach a resume in PDF format in the Supporting Documents section of the application.

About Rice :

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 seek a highly analytical and detail-oriented Data Analyst – Resource Optimization to join our team. This role leads or independently performs the most complex technical work associated with collecting, analyzing, interpreting, and reporting on various types of data sets and software.

Ideal Candidate Statement :

The ideal candidate is a proactive and strategic thinker with strong analytical skills and experience in data collection, analysis, and visualization and process improvement. They thrive in a collaborative environment and are passionate about leveraging data to drive efficiency and cost savings.

Workplace Requirements :

This position is offered as a hybrid role (minimum of 2 days in the office per week). Per , work arrangements may be subject to change.

Hiring Range :

75,000 – $85,000 contingent upon qualifications and experience

• Exempt (salaried) positions under are not eligible for overtime.

Minimum Requirements :

• Bachelor’s degree in Data Analytics, Statistics, Business, Economics, or a related field. In lieu of the education requirement, additional related experience, above and beyond what is required, on an equivalent year-for-year basis may be substituted.
• Three or more (3 ) years of experience in data analysis, business intelligence, or a similar role. In lieu of the experience requirement, additional related education, above and beyond what is required, on an equivalent year-for-year basis may be substituted
• In-depth knowledge and experience using and applying analytical software, database management system software, database reporting software, database user interface and query software, and data mining software
• Expert ability to collect data using a variety of methods, such as data mining and hardcopy or electronic documentation study, to improve or expand databases
• Advanced statistical ability
• Strong listening, verbal, and written communication skills
• Ability to manage multiple activities in a deadline-oriented environment; highly organized, flexible, and rigorous attention to detail
• Ability to use logic and statistical functions to summarize data; efficiently construct a database or scrutinize the form of a question
• Ability to work with data of varying levels of quality and validity
• Demonstrated ability to produce data in a clear and understandable manner, meeting user requirements
• Ability to take a leadership role on projects and with users / clients
• Experience with data visualization tools such as Tableau, Power BI, or similar platforms.
• Ability to work collaboratively across departments and with stakeholders at all levels.

Skills :

• Advanced Excel skills.
• Strong knowledge of statistical analysis and data modeling techniques.
• Ability to interpret complex data sets and identify meaningful trends.
• Proficiency in business intelligence tools and data visualization.
• Experience with automation and data-driven decision-making.
• Excellent organizational and time-management skills.
• Strong analytical and problem-solving abilities.
• Ability to manage multiple projects simultaneously and adapt to changing priorities.
• Proficiency in developing reports and dashboards to track project progress and outcomes.
• Advanced professional communication skills, including ability to prepare materials for and clearly and effectively communicate information to internal and external audiences, including Board of Trustees, senior leadership team, Deans and VPs, and financial management personnel.

Preferences :

• Master’s degree in Data Analytics, Business, or a related field.
• Knowledge of Oracle Fusion Cloud ERP and Tableau

Essential Functions :

• Work self-directed to assess and produce relevant, standard, and / or custom reports
• Devises methods for identifying complex data patterns and trends in available information sources using various qualitative and quantitative techniques.
• Determines and recommends additional data collection needs and reporting requirements
• Designs and customizes reports across a variety of data sources and database software
• Serves as a resource for non-routine inquiries such as requests for statistics or surveys
• Leads the implementation of data standards and common data elements for data collection
• Collaborate with technical staff to standardize and systemize routine reports, dashboards, and metrics
• May test prototype software and participate in the approval and release process for new software
• Analyze large datasets to identify trends, patterns, and opportunities for cost reduction and efficiency improvements.
• Collaborate with project managers and stakeholders to facilitate process improvements and redesign initiatives.
• Develop, maintain, and enhance dashboards to track project performance, cost savings, and key performance indicators (KPIs).
• Monitor and report on the effectiveness of implemented changes, assessing financial impact and cost savings.
• Work cross-functionally with teams to support decision-making, ensuring data-driven strategies align with business objectives.
• Stay current with industry trends and best practices to enhance data analytics capabilities and process optimization.
• Performs all other duties as assigned

Rice Mission and Values :

Salary : $75,000 - $85,000