Business Intelligence Analyst (Onsite)

The University of California, Merced is required to provide a reasonable estimate of the compensation range for this role. This range takes into account the wide range of factors that are considered in making compensation decisions including but not limited to experience, skills, knowledge, abilities, education, licensure and certifications, and other business and organizational needs. It is not typical for an individual to be offered a salary at or near the top of the range for a position. Salary offers are determined based on final candidate qualifications and experience. The salary or hourly range the University reasonably expects to pay for this position is $94,800- $109,000.

Initial applicant review will begin on or around March 19th, 2025. Posting will remain open until filled.

This position is not sponsorship eligible.

This position will be fully on-site.

This position is eligible for relocation allowance.

The University of California, Merced, is the newest of the University of California system's 10 campuses and one of the youngest universities to be designated an R1 research university. With approximately 9,100 undergraduate and graduate students, UC Merced is a smaller, more intimate campus compared to its sister campuses, while equipped and staffed as a cutting edge, 21st century research institution. With bachelor's, master's and doctoral degree programs, strong research and academic partnerships and a growing community in the heart of the San Joaquin Valley, the UC Merced campus is continually evolving and requires talented, knowledgeable and dynamic educators, researchers, management and staff.

Ranked in the top 30 among the best public universities in the nation by U.S. News and World Report and #1 for social mobility by the Wall Street Journal, UC Merced is uniquely equipped to provide world class educational opportunities to dynamic and enterprising students in the Valley and throughout the state. In partnership with UC San Francisco, UC Merced has launched a rigorous medical education program that will supply the Valley with culturally competent providers dedicated to improving local access to quality care. The campus enjoys a special connection with nearby Yosemite National Park, is on the cutting edge of sustainability in construction and design and is accelerating the continued economic development of the region.

UC Merced is advancing a comprehensive data infrastructure and analytics modernization initiative to meet the university's increasing demand for highquality, timely, and actionable insights. Beginning with the institution's first Analytics Roadmap in 2019 and strengthened by strategic investments in 2022, the campus launched the Institutional Data and Enterprise Analytics (IDEA) project to build modern, scalable data assets and capabilities. The IDEA initiative supports descriptive, diagnostic, and predictive analytics by implementing enterprisegrade tools for optimized data storage and performance.

This position sits within the Center for Institutional Effectiveness (CIE) - a team whose mission is to help the university thrive in the face of change by empowering decisionmakers at all levels with longterm, systemic solutions. CIE's work is grounded in curiosity, rigor, and a commitment to delivering highquality analytical insight. As integrators and stewards of campus information, the team contributes to a wide range of institutional needs, from longrange planning and strategy development to the daytoday management of critical business systems.

The Business Intelligence Analyst, positioned within the Institutional Research and Decision Support (IRDS) unit, plays a key role in transforming data into insights that advance institutional effectiveness, student success, and datainformed decisionmaking. IRDS provides universitywide analytical support for planning, assessment, reporting, and operational effectiveness.

The Business Intelligence Analyst uses business intelligence and policy data to inform business decisions in a fast-paced, innovative Higher Education setting. Uses skills as a seasoned, experienced, and consultative data analytics professional with a focus on effective internal client communications and collaborative working relationships with staff. The professional develops an understanding of organizational issues, campus policies, and procedures by effectively interacting with stakeholders, and designs, performs, and summarizes complex statistical analyses on a wide variety of topics. Works on problems of diverse scope where the choice of analytic method and statistical analysis requires evaluation of identifiable factors. Demonstrates good judgment in selecting methods and techniques for obtaining solutions. Performs data analysis with a growth-oriented, learning mindset - considering the dynamic relationships between people, processes, and technology when developing insights and recommendations.

KEY RESPONSIBILITIES

• Acting as an internal consultant to campus stakeholders, independently analyzes complex data and translates results into visualizations and presentations to support data-informed institutional decision making.

• Using statistical analysis and strong problem-solving skills, designs, performs, and summarizes problems of diverse scope and with policy implications that contribute to student success, retention, and graduation goals.

• Implements program analytics software tools, and runs predictive analysis and forecasting models in support of organizational goals. Uses of Python to conduct data analysis.

• Effectively translates data analysis results into reports and presentations for organizational stakeholders, provides support in data-informed decision making to high-level organizational managers and executives.

• Uses various data collection methods, including social science surveys, focus groups, web scraped data to conduct analyses.

• Conducts ongoing analyses of data sources and data sets. Identifies issues and collaborates on developing solutions to solve business, process, service, and system challenges. Serves on internal committees and participates in cross-functional teams based on data expertise.

EDUCATION and EXPERIENCE

• Bachelor's degree from an accredited university. (Required)

• Masters or Doctorate in a quantitatively oriented discipline or social science discipline with a quantitative emphasis. (Preferred)

• Three years of directly related, progressively responsible experience in a quantitatively oriented position, preferably in higher education, or a combination of education, training, and experience that has led to the development of knowledge, skills, and abilities necessary to successfully perform the duties outlined in this position. (Required)

CRITICAL KNOWLEDGE AND SKILLS

• Advanced statistical data analysis competencies.

• Requires commitment to ongoing growth and professional development.

• Ability to rigorously document methodologies.

• Ability to complete statistical analyses and data integration using Python.

• Experience using survey software such as Qualtrics Required Thorough active listening, critical thinking, and good interpersonal skills.

• Able to provide good judgment, decision-making, and problem solving.

• Ability to work across multiple teams and independently.

• Strong ability to communicate through presentations and other written materials.

• Ability to perform exploratory data analysis and learn industry-standard metrics and indicators for various functional domains.

• Ability to create clear, concise, and compelling stories utilizing data and visualization tools.

• Requires general knowledge in experimental and correlational study design, data collection and analysis techniques; statistics or social science research techniques.

• Experience interacting with internal stakeholders as a credible and trusted partner, experience in independently developing research questions, executing analyses, and deriving recommendations.

• Experience developing dashboards in Tableau and/or Power BI. (Preferred)

• Ability to learn and work with numerous software platforms, integrating various data sets. (Preferred)

Background check will be required.

How to Apply:
An online application is required for each position to apply.The University of California, Merced is aware that some web-based application processes may be cumbersome for differently abled applicants. Where appropriate, alternative accommodations will be provided. For applicants with disabilities who need additional assistance using TAM, or reasonable accommodations during the interview or search process, please contact ucmjobs@ucmerced.edu.

As a condition of employment, the final candidate who accepts a conditional offer of employment will be required to disclose if they have been subject to any final administrative or judicial decisions within the last seven years determining that they committed any misconduct; received notice of any allegations or are currently the subject of any administrative or disciplinary proceedings involving misconduct; have left a position after receiving notice of allegations or while under investigation in an administrative or disciplinary proceeding involving misconduct; or have filed an appeal of a finding of misconduct with a previous employer.

Equal Employment Opportunity:
The University of California is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, protected veteran status, or other protected categories covered by the UC Anti-Discrimination Policy.

Smoke and Tobacco Free Policy:
The University of California, Merced is a smoke and tobacco free workplace. Information and the Smoke and Tobacco Free policy is available at http://smokefree.ucmerced.edu.

E-Verify:
All employers who receive Federal contracts and grants are required to comply with E-Verify, an Internet-based system operated by the Department of Homeland Security (DHS) in partnership with the Social Security Administration (SSA). E-Verify electronically verifies employment eligibility by comparing information provided on the I-9 form to records in the DHS and SSA databases. Certain positions funded by federal contracts/subcontracts requires UC Merced to notify job applicants that an E-Verify check will be conducted and the successful candidate must pass the E-Verify check.

Pay, Benefits & Work Schedule:
For information on the comprehensive benefits package offered by the University of California visit: http://ucnet.universityofcalifornia.edu/compensation-and-benefits/