Research Data Analyst 3 - Oakland, CA, Job ID 87572

Research Data Analyst 3 - Oakland, CA, Job

University of California Agriculture and Natural Resources

This position requires the ability to independently perform data analysis, data management, data systems development, data visualization, and reporting of organizational, policy and environmental data and individual level data for studies of nutrition, physical activity and obesity. The position also requires the ability to work effectively with multiple investigators and manage competing project demands, and to provide project management as needed.

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.

$93,345.00/year to $/year

This job is open until filled. The first application review date will be 08/03/2026.

• 30% Data collection:
  Prepare training and quality control protocols for quantitative and qualitative data collection, including with human subjects. Assist with development and implementation of survey instruments and other data collection tools, including programming online data collection instruments using software such as Qualtrics. Some data entry may be required. Collect data in the field (e.g., schools, childcare WIC clinics, participants' homes) and supervise and train others to collect data.
• 25% 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.
• 25% Data analysis:
  Performs statistical analysis for individual research projects. Selects appropriate test formulas and performs computations such as multiple and partial correlation coefficients, linear and logistic regression, multilevel modeling, causal analyses, spatial analyses, and determines sampling and reporting procedures. Analyzes research data using statistical and geospatial software such as SAS, R, Stata, and/or ArcGIS. Prepares and summarizes preliminary and final data.
• 10% Data reporting/presentation:
  Prepares reports and/or analysis 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. Creates queries and extracts data across multiple systems for analysis and interpretation. Develops databases using querying and coding languages such as SQL and Python. Utilizes data visualization platforms (e.g., Tableau) to create online dashboards.
• 5% Design:
  In consultation with PI 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.
• 5% Project management:
  Develops workplans and timelines, organizes and chairs meetings/ consultations with team members, ensures data analysis and reporting are completed on time. As needed, assists with budget management, students, administrative staff and/or lower-level analysts to enter data and conduct analyses, and serves as liaison to subcontractors or other analysis teams.

• Bachelor's degree in related area and / or equivalent experience / training.
• At least 3 years of experience conducting a combination of
  1) primary data collection in schools and/or with children/students and
  2) management, statistical analysis and system programming using SAS, Stata, SPSS, R or other statistical software to conduct analyses including multivariable statistical analyses (e.g., ANOVA, regression, hierarchical modeling), causal modeling, and conducting spatial analysis and geocoding using ArcGIS or other geospatial software.
• Demonstrable skill and experience with developing data collection protocols, infographics, data visualization and presenting data in accessible formats.
• Experience conducting primary qualitative data collection (e.g., interviews or focus groups) and coding/analyzing qualitative data using a software program (e.g., Dedoose, Nvivo, AtlasTI).
• Training and/or experience with managing a…