New York Public Library
New York Public Library is hiring: Senior Data Analyst, Data Platforms & Access
New York Public Library, New York, NY, US, 10261
Senior Data Analyst, Data Platforms & Access - Digital
Department: Digital
Employment Type: Full Time
Location: Stephen A. Schwarzman Building
Reporting To: Stephen Betts
Compensation: $110,000 - $125,000 / year
Description
This is a hybrid role that requires working in the office in NYC a minimum of three days a week.
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
3 months
Be familiar with the data ecosystem at the library, including the key data types and the main data users
Have a good overview of the technical architecture of key digital systems at NYPL
Have a solid understanding of the different data platforms (web analytics and business intelligence) that we manage and their specific roles
Demonstrate proficiency in data processing and transformation
Have developed strong working relationships with colleagues in the Patron Insight & Analytics Team
6 months and beyond
Have a deep understanding of the different data types and metrics in our Data Platforms, and be able to provide staff with access to the data they need, in a variety of ways (CSVs, bespoke dashboards, BI tools)
Understand and facilitate the access needs of staff for data in web analytics and business intelligence platforms
Be able to prepare dashboards for different levels of staff in BI tools
Collaborate with Product Managers to refine data‑oriented business requirements
Proactively identify opportunities to leverage data and technology to improve business performance by providing staff with better access to data
Develop strong working relationships with teams and key stakeholders across the institution to uncover their business needs around data
Responsibilities
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, to ensure that the different domain languages used by technology staff and library staff do not introduce ambiguity and mistakes in our development work
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
Expand the Digital department’s knowledge and understanding of library service data, systems, and concepts, as well everyday library processes, workflows, and procedures
Work with Product Management in Digital to establish a standard, consistent practice and representation of Digital services’ performance data
Manage data analytics projects, ensuring timely delivery and alignment with business goals
Collaborate with information managers, architects, and business units to share knowledge and provide guidance on data interpretation and usage
Serve as a subject matter expert and resource for data‑related inquiries
Perform other duties as required
Required Education, Experience & Skills
Required Education and Certifications
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
Good experience liaising with stakeholders, understanding their data needs, communications, etc.
Required Experience
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
Required Skills
Strong skills in Python and SQL
Good skills in R would be beneficial
Advanced ability with BI Tools
Creating stakeholder dashboards using standard BI Tools
Ability to interview stakeholders and then document their needs, concerns and issues
Curiosity and ability to quickly understand different areas of the Library and communicate that to digital colleagues in order to drive requirements and prioritization
Excels at communicating with people across different domain expertise, skill sets, and experience levels
Ability to confidently and efficiently lead working group meetings to drive engagement between Digital and other NYPL staff
Proven problem solving, analytical thinking, and quantitative reasoning skills — with the demonstrable ability to approach problems logically and systematically
Self‑starter, independently identifies gaps, opportunities and solutions
Managerial/Supervisory Responsibilities
None
More
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
Work Environment
Office Environment
Hybrid work environment; requires work in the office in NYC 3 days a week
Physical Duties
N/A
Pre-Placement Physical Required?
No
Union/Non Union
Non-Union
FLSA Status
Exempt
Schedule
Monday - Friday; 9-5
Hybrid Work Environment; requires work in the office in NYC 3 days a week
This job description represents the types and levels of responsibilities that will be required of the position and shall not be construed as a declaration of all of the specific duties and responsibilities for the role. Job duties may change if Library priorities change. Employees may be directed to perform job-related tasks other than those specifically presented in this description as needed.
The New York Public Library Salary Statement
At the Library, we believe that pay transparency and pay equity are important to ensuring we source the best candidates and keep the best employees. When making a determination as to the appropriate salary for a candidate, we consider a variety of factors such, including, but not limited to, the position requirements, the skills, prior experience, education level, and skills. No single factor is conclusive; the Library reserves the right to consider any and all relevant factors and make a decision consistent with its policies.
Union Salaries are determined by collective bargaining agreement(s).
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