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About the Role
The Patron Insights Researcher, Quantitative Research will support institution-wide efforts to capture, amplify, and generate insights from patron data to expand impact and achieve growth goals. This role contributes to ensuring all work is grounded in a deep understanding of patrons by conducting ongoing quantitative research and leveraging data for end-to-end analysis. The successful candidate will be creative, interested in contributing to a premier library system, and will collaborate cross-functionally.
Responsibilities
- Conduct in-depth analyses of library datasets to advance insights about patron usage and develop metrics for institutional tracking.
- Perform targeted tactical analyses and create data summaries in response to departmental requests.
- Communicate findings to stakeholders, providing guidance to interpret complex findings for non-technical audiences.
- Collaborate with PI&A colleagues to build and maintain a shared analytical codebase using R or Python and version control.
- Maintain existing PI&A data processing and analytical pipelines.
- Build and maintain survey data analysis pipelines for library program participants.
- Collaborate with the data engineering team to refactor existing metric pipelines and build new ones in the data lake infrastructure.
- Perform other responsibilities as required.
Requirements
- 3+ years of hands-on professional experience in research and data analysis, working with large/complex data sets.
- Proven experience in processing and analyzing data with languages such as R, Python, and SQL.
- Experience in meeting the research and data needs of a mission-based organization.
- Experience working with survey data is beneficial.
- Understanding of the workings of public libraries and research libraries is beneficial.
Skills
- Proficiency in statistical programming language such as R or Python.
- Proficiency with relational database concepts and query languages such as SQL.
- Comfort with core statistical techniques (significance testing, correlation, regression, distributions, factor and cluster analysis, sampling methodology, basic predictive modeling).
- Experience in creating reproducible data analyses with documentation and methodological transparency.
- Demonstrated experience using statistical, analytical, and visualization skills to generate insights.
- Ability to independently produce presentation-ready deliverables and communicate analytical insights and methodologies verbally, visually, and in writing.
- Excellent analytic and quantitative reasoning skills.
- A learning mindset, with an appetite for developing skills and absorbing information.
- Demonstrated successful experience working collaboratively and effectively and establishing trusting relationships within a diverse organization.
Location
- Stephen A. Schwarzman Building
Work Type
- Full Time
- Hybrid Work Environment; 3 days onsite, 2 days remote
Experience Level
- 3+ years of hands-on professional experience
Education Level
- Bachelor’s degree
Salary/Compensations
- $90,000 - $100,000 / year
About the Company
- The New York Public Library is one of the world’s premier library systems and an iconic public institution.