The New York Public Library

Senior Data Analyst, Data Platforms & Access

The New York Public Library

full-time

Posted on:

Location Type: Hybrid

Location: New York City • New York • 🇺🇸 United States

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Salary

💰 $110,000 - $125,000 per year

Job Level

Senior

Tech Stack

PythonSQLTableau

About the role

  • Support the work of NYPL Digital's Data Platforms & Access Team toward the major initiative of Data Transformation
  • Collaborate with stakeholders to help staff get access to the data and metrics they need
  • Help communicate Data Platforms & Access strategy, issues, and domain language to NYPL staff and explain how they impact business objectives
  • Foster great communication between the Data Engineering team and staff around the institution
  • Help staff across NYPL to understand and effectively use Digital’s data platforms and tools through creating documentation, office hours, responding to queries, and developing training content
  • Manage data analytics projects, ensuring timely delivery and alignment with business goals

Requirements

  • Bachelor’s degree and minimum of 3 years' experience working as a business analyst or similar role, OR
  • 5 years’ experience as a data analyst or similar role, including creating data processing pipelines and building dashboards
  • Proven experience in processing and managing data with languages such as Python, R, SQL or other analytic tools.
  • Experience with BI Tools such as Tableau, ThoughtSpot, Streamlit, Looker Studio, etc.
  • Understanding of the working of public and/or research libraries is beneficial
  • Experience with Google Analytics 4 or a similar platform would be beneficial
Benefits
  • Core Values: All team members are expected and encouraged to embody the NYPL Core Values:
  • Be Helpful to patrons and colleagues
  • Be Resourceful in solving problems
  • Be Curious in all aspects of your work
  • Be Welcoming and Inclusive
  • Hybrid work environment; requires work in the office in NYC 3 days a week

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
data processing pipelinesdata analyticsPythonRSQLTableauThoughtSpotStreamlitLooker StudioGoogle Analytics 4
Soft skills
communicationcollaborationdocumentationtrainingproject management