Senior Data Analyst- Research

Job Type

Full Time




Minimum: $70
Maximum: $80



Start Date



United States


The College Transition Collaborative (CTC), based out of the Department of Psychology at Stanford University, aims to create higher education learning environments that foster equitable student outcomes by bridging research and practice. CTC partners with colleges and universities to develop scientifically proven approaches that place the student experience at the center of institutional programs and practices. Our work helps institutions better understand how their students experience moments of transition or difficulty, and how psychologically-informed practices can convey to all students they are valued, respected, and can excel. CTC’s work has helped support greater engagement, retention, and completion for students at diverse colleges and universities across the United States, particularly for traditionally marginalized groups such as students of color, first-generation students, and low-income students. To learn more, please visit our website at

We are seeking a Senior Data Analyst to lead data processing and analysis for multiple ongoing large-scale randomized controlled experiments with college students and administrators. The Analyst will oversee all stages of the data pipeline, from standardizing disparate raw data sources (e.g., survey data, institution provided data, etc.) containing millions of records to conducting complex analyses for both scientific and practitioner audiences. This individual will be an essential project member who will be expected to learn and work independently yet collaborate effectively with team members and project partners. Previous experience processing data and conducting analyses for empirical research projects, particularly for projects with a focus on social psychology or education, in an academic environment is a plus. The work will take place in a dynamic environment where specifications often change rapidly in response to demands from both researchers and practitioners, so the analyst must be able to be flexible in their approach and implementations.

CTC is an early-stage organization, and we are excited to build out our data processes and team over the coming years. This role includes the opportunity to drive decision-making around our data policies and infrastructure in addition to conducting data processing and analyses for discrete large-scale projects. 

Role and Responsibilities will Include:

1. Processing and managing data

  • Implement processes to collect, process, and manage raw data from diverse sources (e.g., complex surveys, institutional records from multiple sources and timepoints), producing clean and user-friendly datasets for both internal analysis needs and sharing with affiliates and collaborators.
  • Create clear, standard data requests in collaboration with researchers and CTC staff to share with school partners based on project research questions; work closely with fellow CTC staff and data teams at partner institutions to validate accuracy and usability of data shared, including training CTC staff to understand data request specifications and to perform relevant checks.
  • Work with team to ensure effective and secure data storage and security practices are followed.

2. Analyzing data

  • Collaborate with researchers and staff to determine analytic approach for projects in light of key research questions, modifying approach as necessary given nuances of data that are available (e.g., limitations in institution-provided data, etc.), and to pre-register analysis plans when appropriate.
  • Use both qualitative and quantitative techniques to lead data analysis for all stages of CTC’s research projects, including both earlier stage research and development such as surveys, focus groups, and smaller scale experiments, and later stage large-scale field tests such as randomized controlled trials. Analytic techniques may include but are not limited to: multilevel models, OLS models, structural equation models, clustering techniques, and specification curves/permutation tests.
  • Serve as a resource for non-routine analysis inquiries.

3. Reporting results

  • Work under consultative or self-initiated direction to report analysis findings for researchers, school partners, and external audiences.
  • Develop processes and write/modify reproducible scripts to automate custom report generation.
  • Write concise, focused prose interpretation of analysis findings for diverse internal and external audiences, varying the language used and level of detail depending on audience background and interests.
  • Distribute and disseminate reports to applicable agencies, researchers, management and other internal end-users.



  • Bachelor’s degree or a combination of education and relevant experience.
  • Significant experience with quantitative analyses.


  • Substantial experience in at least one statistical or general programming language allowing for reproducible, automated analysis and reporting; e.g., R, Python, Stata, SAS.
  • Substantial experience with advanced statistical methods used in social science research to assess the impact of multi-site experiments controlling for relevant covariates, including
  • Conducting exploratory analyses to determine optimal modeling approaches
  • Conducting complex analyses such as multilevel modeling
  • Understanding and addressing problems such as model fit issues and/or problematic statistics that may indicate errors in the underlying data
  • Advising team members on best practices around data collection, management, analysis, and reporting.
  • Experience and comfort managing complex raw data from disparate sources.
  • Comfort with early-stage and academic work environments.
  • Strong analytical skills.
  • Strong communication skills, both verbal and written.
  • Ability to prioritize workload across multiple projects, create realistic timelines for analytic workstreams, and communicate clear and regular updates to team.


  • A personal passion for learning and a drive to advance equality of opportunity in education.
  • Experience with modern source code version control systems (e.g. Git).
  • Advanced degree (M.S. or higher) in a quantitative science, or equivalent experience. 


Why work for CTC? Some perks include:

  1. Contributing to rigorous, mission-oriented work that strives to reduce educational inequality in the United States.
  2. Being involved in facilitating cutting-edge research with some of the most prominent social scientists and higher education changemakers in the field.
  3. Helping build an early-stage organization with room for professional growth.
  4. Joining a close-knit, friendly team that highly values diversity and inclusion.
  5. Great benefits through Stanford Benefits & Rewards.
  6. Flexible work location and working hours. We are a remote team with colleagues around the country in different time zones, and we believe that team members should be free to work flexible hours as long as the work is getting done. 

Professional Level

None specified

Minimum Education Required

4-year degree

How To Apply

We​ ​welcome​ ​and​ ​encourage​ ​candidates​ ​from​ ​diverse​ ​backgrounds​ ​who​ ​can​ ​bring​ ​unique perspectives​ ​to​ ​the​ ​table. ​ ​

If​ ​you​ ​would​ ​like​ ​to​ ​apply​ ​for​ ​this​ ​position, ​please​ ​fill​ ​out​ ​​this​ form​.​ ​Please​ ​note​ ​that​ ​applications not​ ​submitted​ ​through​ ​the​ ​form​ ​will​ ​not​ ​be​ ​considered.​ ​If​ ​you​ ​have​ ​questions,​ ​please​ ​email​​ ​with​ ​the​ ​subject​ ​line​ ​"Hiring​ ​-​ ​SDA​ ​Inquiry.”