Patron Insights Quantitative Researcher — Hybrid NYC

New York Public Library; New York (NY); Híbrido; USD 90.000 - 100.000; Jornada completa

Descripción de la vacante

The New York Public Library is seeking a Patron Insights Researcher, Quantitative Research, to join the Patron Insights & Analytics team. Based at the Stephen A.

Schwarzman Building with a hybrid work arrangement, you will lead end-to-end quantitative analyses to translate programmatic and operational questions into actionable insights. You will work with R, Python, and SQL to analyze large datasets, build reusable pipelines, and collaborate across departments to inform strategy and outreach.

Formación

• 3+ years of hands-on research and data analysis.
• Experience with R, Python, and SQL.
• Experience supporting mission-based organizations.
• Experience with survey data is beneficial.

Responsabilidades

• Analyze diverse library datasets to derive patron insights and metrics for institutional tracking.
• Deliver targeted analyses and data summaries for library departments.
• Present findings to stakeholders and translate analyses for non-technical audiences.
• Collaborate to maintain a shared codebase using R or Python with version control.
• Maintain data pipelines and support transition to a new data lake.
• Develop survey data analysis pipelines for program participant data.
• Work with data engineering to refactor metric pipelines for the data lake.
• Perform other duties as required.

Conocimientos

R

Python

SQL

Statistical analysis

Data visualization

Survey data

Collaborative work

Patron analytics

Educación

Bachelor’s degree

Descripción del empleo

The New York Public Library is seeking a Patron Insights Researcher, Quantitative Research, to join the Patron Insights & Analytics team. Based at the Stephen A.

Schwarzman Building with a hybrid work arrangement, you will lead end-to-end quantitative analyses to translate programmatic and operational questions into actionable insights. You will work with R, Python, and SQL to analyze large datasets, build reusable pipelines, and collaborate across departments to inform strategy and outreach.