Patron Insights Researcher, Quantitative Research

Patron Insights Researcher, Quantitative ResearchThe Patron Insights Researcher, Quantitative Research will support institution-wide efforts to capture, amplify, and generate insights from our patron data in order to expand our impact and reach our ambitious growth goals. As a member of the Patron Insights & Analytics team, this role contributes to a core tenet of our 5-Year Strategy: ensuring all of our work – from policies and programs to outreach and marketing – is grounded in a deep understanding of our patrons. This role will conduct ongoing quantitative research aimed at translating programmatic and operational questions into actionable insights, leveraging available data to conduct end-to-end data analysis. Additionally, this role will work closely with other members of the PI&A team to support quantitative analyses of qualitative research. A successful candidate is a creative person interested in directly contributing to the vitality and growth of one of the world's premier library systems and iconic public institutions. You'll have the Library's diverse user base to explore analytically, and you'll collaborate cross functionally, developing strong relationships with staff throughout the Library.Some expectations for this role are that within:1 month, this person will:Learn the basic organizational structure of the Library and its servicesFamiliarize themselves with the data systems and datasets available for patron researchReview current in-progress analyses and research goalsMeet key stakeholders and understand their roles3 months, this person will:Understand all aspects of NYPL data systems and datasetsActively contribute to PI&A codebase and analysesOwn one or more data processing pipelines6 months and beyond, this person will:Lead work on multiple independent analysesOwn the transition of multiple data processing pipelines to a new data lakeResponsibilities:Conduct in-depth analyses of a wide array of library datasets to advance insights about patron usage of the library and develop metrics for ongoing institutional trackingConduct targeted tactical analyses & create data summaries in response to requests from departments across the libraryCommunicate findings to stakeholders, providing guidance and support that helps interpret complex findings for non-technical audiencesCollaborate with PI&A colleagues to build and maintain a shared analytical codebase, using a modern data analysis language (R or Python) and version controlMaintain existing PI&A data processing & analytical pipelines to keep analytical data data flowing while we transition to a more robust data lakeBuild and maintain survey data analysis pipelines to support rigorous & consistent analysis of information collected from library program participantsCollaborate with our data engineering team to refactor existing metric pipelines and build out new ones in our new data lake infrastructurePerform other responsibilities as requiredRequired Education, Experience & SkillsBachelor's degree3+ years of hands-on professional experience in research and data analysis, working with large/complex data setsProven experience in processing and analyzing data with languages such as R, Python, and SQLExperience in meeting the research & data needs of a mission-based organizationExperience working with survey data is beneficialUnderstanding of the workings of public libraries and research libraries is beneficialProficiency in statistical programming language such as R or PythonProficiency with relational database concepts and query languages such as SQLComfort with core statistical techniques such as significance testing, correlation, regression, distributions, factor and cluster analysis, sampling methodology, and basic predictive modelingExperience in creating reproducible data analyses with documentation and methodological transparencyDemonstrated experience using statistical, analytical, and visualization skills to generate insightsAbility to independently produce presentation-ready deliverables and clearly and persuasively communicate analytical insights and methodologies verbally, visually, and in writingExcellent analytic and quantitative reasoning skills, especially including the ability to rigorously evaluate the data needed to answer a given question (and the questions that can be answered by a given dataset)A learning mindset, with an appetite for developing skills and absorbing informationDemonstrated successful experience working collaboratively and effectively and establishing trusting relationships within a diverse organization, across multiple levels of management and staffCore ValuesBe Helpful to patrons and colleaguesBe Resourceful in solving problemsBe Curious in all aspects of your workBe Welcoming and InclusiveWork EnvironmentOffice settingHybrid Work Environment; 3 days onsite, 2 days remotePhysical Duties: NonePre-Placement Physical Required? NoUnion/Non Union Non-UnionFLSA Status ExemptSchedule Monday - Friday; 9-5; 35 hours a weekThis job description represents the types and levels of responsibilities that will be required of the position and shall not be construed as a declaration of all of the specific duties and responsibilities for the role. Job duties may change if Library priorities change. Employees may be directed to perform job-related tasks other than those specifically presented in this description as needed.The New York Public Library Salary StatementAt the Library, we believe that pay transparency and pay equity are important to ensuring we source the best candidates and keep the best employees. When making a determination as to the appropriate salary for a candidate, we consider a variety of factors such, including, but not limited to, the position requirements, the skills, prior experience, and educational background required or preferred for the job, the scope and impact of the role within the organization, internal peer equity, and the candidate's specific training, experience, education level, and skills. No single factor is conclusive; the Library reserves the right to consider any and all relevant factors and make a decision consistent with its policies. Union Salaries are determined by collective bargaining agreement(s).