Business Analyst, Data & Analytics

Department: Digital

Employment Type: Full Time

Location: Stephen A. Schwarzman Building

Reporting To: Stephen Betts

Compensation: $90,000 - $95,000 / year

Description

This role requires work onsite in NYC 3 days a week (hybrid)

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 Business Analyst who can proactively support the Data Engineering team in this ambitious Data Transformation. The role will involve gathering and documenting needs from colleagues across the library, as well as developing a deep understanding of the data landscape that Library staff navigate every day. They will also have a hands-on role in managing the operations of staff-facing platforms that the Data Engineering team already manage: our web analytics platform (Google Analytics 4), our data warehouse, and our staff-facing data visualization tool.
The successful candidate will help drive engagement and understanding within the institution of how they can better use our data repositories and tools, and how can they 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:

• Management of our core data documentation
• Day-to-day running of our web analytics platform, GA4
• Data quality on the library service data within our data platform
• Understanding of staff data needs 
• Responding to issues raised by staff

Teach:

• Library staff about how to interpret and use data in our centralized data platforms
• Library stakeholders about digital processes and strategy
• Digital staff about the workflows and needs in the rest of the library

Learn:

• Key data governance principles, and why they are essential
• The data associated with core library services
• How the different data types we collect are defined
• The development processes for data pipelines

Improve:

• The quality of the data we collect and supply to staff
• The processes by which we collect and manage data
• Staff’s use of data in our centralized data platforms

Some expectations for this role are that within:
1 month, this person will:

• Understand the Data Transformation major initiative
• 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

3 months, this person will:

• Be familiar with the data ecosystem at the library, including the key data types and the main data users
• Have a thorough understanding of the Data Transformation major initiative and its key workstreams
• Have a solid understanding of our Google Analytics 4 web analytics platform
• Be able to gather data requirements from staff around the library
• Have developed strong working relationships with colleagues in the Strategy & Public Impact Department
• Develop strong working relationships with teams and key stakeholders across the institution to discover business needs

6 months and beyond, this person will:

• Have a deep understanding of the different data types that staff require and the ways they want to use that data, and the pain points they currently have in their use of data
• Have a solid understanding of the data needs of other teams within the Digital department
• Collaborate with Product Managers to refine data-oriented business requirements 
• Own the day-to-day operations of Google Analytics 4

Responsibilities

• Support the work of NYPL Digital’s Data Engineering Team toward th