Patron Insights Researcher, Quantitative Research

The New York Public Library

. Conduct in-depth analyses of library datasets to generate insights about patron usage and develop institutional tracking metrics .

Posted 11/3/2026full-timeNew York City • New York • United StatesMid-LevelSenior💰 $90,000 - $100,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in data analysis and processing using R, Python, and SQL, with a strong ability to communicate complex findings to diverse stakeholders. Proficient in statistical methodologies and capable of building and maintaining analytical pipelines within a library context.

Highest-signal resume keywords

Data AnalysisR ProgrammingPython ProgrammingSQL ProficiencyStatistical Methodologies

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data ProcessingAnalytical PipelinesStatistical AnalysisData VisualizationReproducible Data AnalysesSignificance TestingRegression AnalysisCorrelation AnalysisPredictive ModelingSurvey Data Analysis

Soft Skills

Communication SkillsCollaborative ExperienceAnalytic ReasoningRelationship BuildingPresentation Skills

Tools & Technologies

Data Lake InfrastructureVersion ControlAnalytical Codebase

Certifications & Qualifications

Bachelor’s Degree

Industry Keywords

Library Data AnalysisMission-Based OrganizationPublic LibrariesResearch Libraries

Tech Stack

Tools & technologies

PythonSQL

About the role

Key responsibilities & impact

Conduct in-depth analyses of library datasets to generate insights about patron usage and develop institutional tracking metrics
Conduct targeted tactical analyses and create data summaries for departments across the Library
Communicate findings to stakeholders and help non-technical audiences interpret complex findings
Collaborate with the Patron Insights & Analytics team to build and maintain a shared analytical codebase using R or Python and version control
Maintain data processing and analytical pipelines during transition to a more robust data lake
Build and maintain survey data analysis pipelines for rigorous and consistent program-participant analysis
Collaborate with data engineering to refactor metric pipelines and build new ones in the data lake infrastructure
Learn the Library’s organizational structure, services, data systems, datasets, analyses, and stakeholders
Contribute to the PI&A codebase and analyses
Own data processing pipelines
Lead multiple independent analyses
Perform other responsibilities as required

Requirements

What you’ll need

Bachelor’s degree
3+ years of hands-on professional experience in research and data analysis, working with large/complex data sets
Proven experience processing and analyzing data with R, Python, and SQL
Experience meeting the research and data needs of a mission-based organization
Proficiency in a statistical programming language such as R or Python
Proficiency with relational database concepts and query languages such as SQL
Knowledge of significance testing, correlation, regression, distributions, factor and cluster analysis, sampling methodology, and basic predictive modeling
Experience creating reproducible data analyses with documentation and methodological transparency
Demonstrated statistical, analytical, and visualization skills
Ability to produce presentation-ready deliverables and communicate analytical insights and methodologies verbally, visually, and in writing
Excellent analytic and quantitative reasoning skills
Ability to rigorously evaluate data needed to answer questions and determine questions answerable by a dataset
Demonstrated successful collaborative experience and ability to establish trusting relationships across a diverse organization and multiple management and staff levels
Experience with survey data is beneficial
Understanding of public and research libraries is beneficial

Benefits

Comp & perks

Hybrid work environment; 3 days onsite, 2 days remote
Monday–Friday, 9–5 schedule; 35 hours per week
Office setting
Non-union position
Exempt FLSA status
No physical duties
No pre-placement physical required
NYPL Core Values: helpful, resourceful, curious, welcoming, and inclusive work culture