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 full salary range for this position is $75,200- $138,400. The budgeted salary or hourly range that the University reasonably expects to pay for this position is $83,700- $95,000

Initial applicant review will begin on or around May 6th, 2024. Posting will remain open until filled.

This position is hybrid with onsite presence determined by experience.

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 the first American research university built in the 21st century. With more than 9,000 undergraduate and graduate students, UC Merced offers an environment that combines a commitment to diversity, inclusion, collaboration and professional development. With bachelor's, master's and doctoral degree programs, strong research and academic partnerships, and community involvement, the UC Merced campus is continually evolving and requires talented, knowledgeable and dynamic educators, researchers, management and staff.

Ranked among the best public universities in the nation by U.S. News and World Report, UC Merced is uniquely equipped to provide educational opportunities for highly qualified students from the San Joaquin Valley and throughout California. The campus enjoys a special connection with nearby Yosemite National Park, is on the cutting edge of sustainability in construction and design and supports the economic development of Merced and the region.

The Merced 2020 Project, a $1.3 billion public-private partnership unprecedented in higher education and completed in 2020, nearly doubled the physical capacity of the campus, enhancing academic distinction, student success and research excellence. UC Merced also operates the Downtown Campus Center, a $33 million, three-story administrative building located in the heart of Merced.

The university's mission of educational excellence and rigorous inquiry is powered by three schools and numerous research institutes and centers that seek scientific and social solutions for the Valley, California and the world. In partnership with UC San Francisco, UC Merced is preparing the way for a rigorous medical education program.

The course of UC Merced's evolution is piloted by a long-range strategic plan. Enacted in 2021, the 10-year blueprint is guiding how the values of equity and justice influence our pathway to earning Carnegie R1 research status, growing enrollment, upholding our identity as a minority-serving institution, and operationalizing how commitments to equity, diversity and inclusion are enacted in each campus unit.

UC Merced has been embarking on a data infrastructure and analytics modernization effort to support the university's growing demand for analytic capabilities. In 2019, the University developed its first Analytics Roadmap, and in 2022, funding was secured to procure new data infrastructure tools and develop the first assets through the Institutional Data and Enterprise Analytics (IDEA) project. The IDEA Project enables the development of modern data architecture to support descriptive, diagnostic and predictive analytics through the utilization of Informatica for data management and governance and Snowflake Data Cloud for optimized data storage. The Center of Institutional Effectiveness (CIE) consists of a team of analysts supporting business intelligence and analysis for the university, consisting of two units. The Business Intelligence Analyst (BI Analyst) position will be located within the Institutional Research and Decision Support unit, providing analytical services to inform business decisions.

Position Overview: 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 or external client communications. The professional develops an understanding of organizational problems by effectively interacting with stakeholders, and designs, performs, and summarizes complex statistical analysis about academic policy. 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 mind set - 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. Higher education industry experience is not required.
• Use of Python, R, and SPSS or other software to build datasets and conduct data analysis.
• Develops methodology that includes analyzing and troubleshooting highly complex data systems to produce reports with descriptive and inferential statistical output for sharing results with campus constituents.
• 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.
• Conducts on-going 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.
• Uses various data collection methods, including social science surveys, focus groups, web scraped data to conduct analyses.

EDUCATION and EXPERIENCE

• Bachelor's degree from an accredited university in Computer Science, Data Science, Business Analytics, or related field. (Required)
• Advanced degree 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, or a combination of education, training, and experience, which have led to the development of knowledge, skills, and abilities necessary to perform the duties outlined in this position successfully. (Required)

CRITICAL KNOWLEDGE AND SKILLS

• Advanced statistical data analysis competencies
• Requires commitment to ongoing growth and professional development.
• Ability to design data structures to optimize performance for both routine and ad-hoc requests.
• Ability to rigorously document methodologies.
• Ability to complete basic and intermediate statistical analyses and data integration using Python, R, and SPSS or other statistical software packages.
• 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.
• Ability to learn and work with numerous software platforms, integrating various data sets.
• Requires general knowledge in experimental and correlational study design, data collection and analysis techniques; statistics or social science research techniques.
• Ability to perform database maintenance tasks and maintain data dictionaries.
• Experience interacting with internal stakeholders as a credible and trusted partner, experience in independently developing research questions, executing analyses, and deriving recommendations. (Preferred)
• Experience using survey software such as Qualtrics. (Preferred)
• Experience developing dashboards in Tableau and/or Power BI (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.

Equal Employment Opportunity:
The University of California, Merced is an Equal Opportunity/Affirmative Action employer advancing inclusive excellence. All qualified applicants will receive consideration for employment without regard to race, color, creed, religion, national origin, citizenship, sex, age, marital status, sexual orientation, gender identity or expression, disability, pregnancy, or status as a disabled veteran or Vietnam-era veteran, or other protected categories covered by the UC Nondiscrimination and Affirmative Action Policy. UC Merced intentionally promotes and maintains a discrimination- and harassment-free workplace by demonstrating it neither condones nor tolerates employment practices that discriminate against or harass any person or specific group of persons on the basis listed above. We seek candidates who will support our vision to cultivate a vibrant, equity-minded, inclusive excellence university community. When applying to UC Merced, we strongly encourage you to reflect on our Principles of Community and our 2021 strategic plan.

Vaccination Program Policy:

As a condition of employment, you will be required to comply with the University of California SARS-CoV-2 (COVID-19) Vaccination Program Policy. All Covered Individuals under the policy must provide proof of Full Vaccination or, if applicable, submit a request for Exception (based on Medical Exemption, Disability, and/or Religious Objection) or Deferral (based on pregnancy) no later than the applicable deadline. For new University of California employees, the applicable deadline is 14 days after their first date of employment.

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/

This position is eligible for the UC Merced Employee Referral Program (ERP). If you were referred by a UC Merced employee, please identify that employee by name in your application as follows:

Step 5 of 7 (on the application) Referrals

How did you hear about the job? (select) "other"

Additional information? (select) "other"

Specific Referral Source? (write in) first and last name of referring employee

Referring employee MUST be named on application for eligibility.