Patron Insights Researcher, Quantitative Research

The Patron Insights Researcher, Quantitative Research will support institution-wide efforts to capture, amplify, and generate insights from patron data to expand impact and reach growth goals.

As a member of the Patron Insights & Analytics team, this role contributes to a core tenet of the 5-Year Strategy: ensuring all work is grounded in a deep understanding of 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 services
• Familiarize themselves with the data systems and datasets available for patron research
• Review current in-progress analyses and research goals
• Meet key stakeholders and understand their roles

3 months, this person will:

• Understand all aspects of NYPL data systems and datasets
• Actively contribute to PI&A codebase and analyses
• Own one or more data processing pipelines

6 months and beyond, this person will:

• Lead work on multiple independent analyses
• Own the transition of multiple data processing pipelines to a new data lake

Responsibilities:

• 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 tracking
• Conduct targeted tactical analyses & create data summaries in response to requests from departments across the library
• Communicate findings to stakeholders, providing guidance and support that helps interpret complex findings for non-technical audiences
• Collaborate with PI&A colleagues to build and maintain a shared analytical codebase, using a modern data analysis language (R or Python) and version control
• Maintain existing PI&A data processing & analytical pipelines to keep analytical data flowing while transitioning to a more robust data lake
• Build and maintain survey data analysis pipelines to support rigorous & consistent analysis of information collected from library program participants
• Collaborate with the data engineering team to refactor existing metric pipelines and build out new ones in the new data lake infrastructure

Required Education & Certifications:

• Bachelor's degree

Required Experience:

• 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 & 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

Required 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 such as significance testing, correlation, regression, distributions, factor and cluster analysis, sampling methodology, and 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 clearly and persuasively communicate analytical insights and methodologies verbally, visually, and in writing
• Excellent 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 information
• Demonstrated successful experience working collaboratively and effectively and establishing trusting relationships within a diverse organization, across multiple levels of management and staff