Patron Insights Researcher, Quantitative Research

Overview The 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 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 data flowing while we transition 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 our data engineering team to refactor existing metric pipelines and build out new ones in our new data lake infrastructure
• Perform other responsibilities as required