Data Analyst

About the California Policy Lab

The California Policy Lab creates data-driven insights for the public good. Our mission is to partner with California’s state and local governments to generate scientific evidence that solves California’s most urgent problems, including homelessness, poverty, crime, and education inequality. We facilitate close working partnerships between policymakers and researchers at UCLA and UC Berkeley to help evaluate and improve public programs through empirical research and technical assistance.

The role

The California Policy Lab is seeking an experienced Data Analyst to contribute to our organization’s proven track record of bridging the gap between academic researchers and government policymakers. The Data Analyst will have the opportunity to apply methodologies from econometrics, statistics, and data science to original research projects primarily in homelessness with the potential to also work on projects in criminal justice, poverty, education, and labor.

The successful candidate will be well versed in data manipulation, wrangling, and cleaning, with experience running, testing, and interpreting a variety of linear models including OLS, logit, negative binomial, Poisson, and proportional hazards. He or she will be passionate about using data to find innovative solutions to the problems facing California policymakers and citizens. This position requires an individual who is able to work as a part of small research teams running multiple projects concurrently. We seek highly organized individuals with superior written and verbal communications skills and excellent time management ability. The Data Analyst also will be required to follow coding guidelines established by CPL and to contribute to the organization’s efforts to build richly detailed documentation of the data we use.

The Data Analyst will report to CPL’s Director of Data and Analytics and will work collaboratively with CPL’s Directors, staff and partner agencies. This position is based in Los Angeles, California.

Education and experience required

Applicants must have a bachelor’s degree in public policy, economics, statistics, or other relevant field; master’s degree preferred. Applicants must also have at least one year of relevant research experience; experience gained in school counts toward requirement. Two to three years of professional post-baccalaureate experience preferred.


  • Document, clean, merge, and match data from large and complex administrative datasets.
  • Perform exploratory analysis on new datasets and identify potential research questions or projects the data could support.
  • Work with CPL’s Faculty Director and research managers to write analysis plans that specify outcomes of interest, list covariates, and include power calculations.
  • Fit and test a variety of statistical models and summarize the results in neatly formatted and clearly written reports.
  • Provide in-person progress reports to CPL Directors and research team members.
  • Prepare results in creative and visually appealing ways for memos and presentations targeting both policymakers and academic researchers.
  • Create or add to existing data documentation that supports CPL’s research projects.
  • Write replicable code adhering to CPL’s coding guidelines.
  • Competencies

    • Substantive knowledge of quantitative research methods and casual inference required.
    • Mastery of data analysis and data management in Stata, SAS, or R required.
    • Attention to detail and ability to organize and document workflow required.
    • Strong initiative and a resourceful approach to problem-solving required.
    • Superior verbal and written communication skills required.
    • Ability to work independently and as part of a team required.
    • Strong interpersonal skills required.
    • Ability to multi-task with demanding timeframes required.
    • Ability to work discreetly with sensitive and confidential data required.
    • Experience working in an academic or think-tank environment preferred.
    • Substantive knowledge of casual analysis
    • Substantive knowledge or experience in at least one of our five core research areas – homelessness, criminal justice, poverty, education, or labor – preferred.
    • Project management experience preferred

    To apply

    Please click the link below and then “search jobs” for requisition number 30177:


    Data Analyst PDF