"Data Analysis Supervisor 2 Oakland, CA, Job ID 83801"

Position Summary:

Under the supervision of NPI's Director, the Data Analysis Supervisor 2 will function as an advisor to the unit on study design and analytical methods for research and evaluation studies focused on a range of nutrition and physical activity policies and programs and will supervise NPI's Data Analyst Section. Responsibilities include designing research methods and analysis plans; collecting, managing, and analyzing quantitative data; disseminating findings to internal and external stakeholders; and managing and overseeing project timelines and deliverables. This position will manage the workload, professional development, and performance management of 3-7 research data analysts and staff research associates, as well as survey workers and students as needed.

Department Summary:

The Nutrition Policy Institute (NPI) is a statewide institute within the Division of Agriculture and Natural Resources at the University of California. NPI conducts and translates policy-relevant research to transform environments for healthy children, families, and communities. We are home to approximately 30-40 academic, staff and student employees located in the UCOP offices in Oakland and other locations.

This position is a career appointment that is 100% fixed.

The home department is the Nutrition Policy Institute (NPI). While this position normally is based in Oakland, CA, this position is eligible for hybrid flexible work arrangements for applicants living in the State of California at this time. Please note that hybrid flexible work arrangements are subject to change by the University.

Pay Scale:

$112,400.00/year to $163,200.00/year

Job Posting Close Date:

This job is open until filled. The first application review date will be 2/23/2026.

Key Responsibilities:

• 40% Supervision, consultation, and project management: Provides direct supervision to data analyst section, as well as temporary staff such as survey workers and students, as needed. Performs supervisory functions including recruitment, performance reviews, training and handling disciplinary issues according to organization HR policies. Serves as a consultant to unit staff on appropriate research design and analytical methods. Develops workplans and timelines; organizes and chairs meetings/consultations with team members. Responsible for statistical integrity, adequacy and accuracy of data, and the timeliness and effectiveness of all data collection and reporting systems.
• 10% Study design and proposal development: In consultation with NPI Director and research teams, designs research and evaluation studies and their data collection and analysis plans, including sampling, survey instruments, data entry programs, and results reports. Contributes to grant proposals for state, federal, and foundation funding.
• 25% Statistical analyses: Performs statistical analysis for individual research projects. Selects appropriate test formulas and performs computations such as multiple and partial correlation coefficients, t-tests, Chi-square, ANCOVA, linear and logistic regression, multilevel modeling, spatial analyses, interrupted time series models, latent class analysis, principal components analysis, structural equation modeling, multiple imputation, non-parametric analyses such as Mann-Whitney U tests and Wilcoxon signed rank tests, and power analyses for a variety of study designs. Analyzes research data using statistical and geospatial software such as SAS, R, Stata, and ArcGIS. Prepares and summarizes preliminary and final data.
• 10% Data management: Creates, manages, and maintains project databases and organizational data systems. Checks data quality, cleans and records data, geocodes data, and creates derived datasets. Creates standard analytic data files and documents program codes and procedures for use by research team. Develops systems for organizing data to analyze. Applies advanced data management techniques such as macros and SQL programming to efficiently conduct data management and cleaning. Some data collection and entry may be required.
• 15% Dissemination: Prepares reports of research findings for internal and external dissemination and written analytical sections for peer-reviewed papers, reports and grant proposals. Creates data visualizations including online dashboards, infographics, maps, tables and charts. Prepares and delivers presentations at professional conferences and meetings with stakeholders and policy makers.

Requirements:

• Bachelor's degree in Statistics, Biostatics or related area, or equivalent work experience and / or training.
• Experience supervising, mentoring, advising, or training on statistical methods and analysis techniques.
• Demonstrated project management experience.
• Solid experience conducting statistical analysis and system programming using SAS, Stata, SPSS, R or other statistical software.
• Experience in advanced statistical methods for complex survey data, including general estimating equations, multilevel modeling/hierarchical analysis, multiple imputation, latent class analysis.
• Experience in advanced data management techniques, such as macros and SQL programming.
• Experience conducting spatial analysis and geocoding using ArcGIS or other geospatial software.
• Demonstratable skill and experience with data visualization and presenting data in accessible formats.
• Solid skills to communicate complex information in a clear and concise manner both verbally and in writing.
• Strong organizational, written and oral communication and problem solving skills.

Preferred Skills:

• Master's degree in Statistics, Biostatics.
• Experience disseminating research findings through peer-reviewed journals and presentations at professional conferences.
• Familiarity with federal food and nutrition program, especially SNAP, WIC, and child feeding programs.
• Knowledge of nutrition, physical activity and obesity measurement and its analysis.
• Experience with reliability and validity testing dietary assessment methods or other survey instruments.
• Experience designing or consulting on the design of research studies and/or evaluations.
• Experience designing surveys assessing dietary, physical activity, and/or weight-related outcomes.