Senior Data Analyst, Data Platforms & Access - Digital

Location: New York

Senior Data Analyst, Data Platforms & Access - Digital

Join to apply for the Senior Data Analyst, Data Platforms & Access - Digital role at The New York Public Library

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Compensation: $110,000 - $125,000 / year

Department: Digital

Location: Stephen

A. Schwarzman Building

Overview

The New York Public Library is undergoing a comprehensive Data Transformation, with the goals of understanding our patrons far better, enabling staff to make data‑driven decisions, and for the Library to better understand its impact quantitatively. To do this we will need to centralize critical service delivery data (e.g., books borrowed, attendance at talks, number of visits, etc.) into a modern data platform, and provide clear, intuitive methods for staff to access the data they need.

Additionally we will need to establish first‑rate data governance practices to ensure that staff have a shared understanding of data definitions, use common workflows to manage data, and be confident in the use of data in their everyday work.

We are looking for a Data Analyst who can proactively support the Data Engineering team in this ambitious Data Transformation. The Data Analyst will be responsible for facilitating access for staff to the data in our data platform and web analytics platform. This will involve processing pipelines to create new, derivative data sets, as well as creating and managing dashboards in standard BI tools.

They will work with Engineers, Business Analysts, and Product and Project Managers to engage cross‑functional business partner teams with the aim of fostering a data culture and delivering access to the data that our stakeholders need. They will also have a hands‑on role in developing models and data visualizations from our data platforms.

This role will be mostly focused on providing staff with access to the data they need, such as creating pipelines for transforming raw datasets into analytical data tables, as well as building and managing dashboards and other data access methods. The role is not responsible for creating reports and studies, but the successful candidate will work closely with metric definition owners to develop automated metric pipelines.

The successful candidate will help drive engagement and understanding within the institution of how staff can better use our data repositories and tools, and how they can use data to help achieve their strategic goals. This is a great opportunity to play a key role in making NYPL a truly data‑enabled organization.

We are looking for someone we can count on to:

Own:

• Providing staff with access to the data they need
• Business intelligence dashboards, reports, and scorecards
• Building processes within our Data Platform to create derivative and enhanced data sets
• Data audits and quality assurance on the library service data within our data platform

Teach:

• Library staff what data is available within our data platforms and how to access it
• Library staff on how to effectively use dashboards and data visualization
• Library stakeholders about digital processes and strategy

Learn:

• NYPL’s data asset lifecycle management and governance process
• The architecture of the data platform and the systems contributing to it
• The data associated with core library services from various source systems
• Our development processes for data pipelines
• What data different teams and departments around the institution need to access

Improve:

• Staff’s access to data in our centralized data platforms
• The quality of the data we collect and supply to staff
• The processes by which we manage and process data
• Collaboration with the Patron Insight & Analytics team on data processing and access

Some expectations for this role are that within:

1 month:

• Understand NYPL’s culture, mission and organizational structure, and the Data Transformation major initiative
• Learn the roles and responsibilities of our team (Data Engineering), and the Patron Insight & Analytics team with whom we partner closely
• Have a solid grasp of the key data types within our data warehouse
• Learn the structure of the Digital department and establish contacts in all functional areas
• Meet key stakeholders from around the institution and understand their roles

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