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Senior Data Analyst, Data Platforms & Access…
- The New York Public Library (New York, NY)
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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** , this person will:
+ 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** , this person will:
+ 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** , this person will:
+ 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
_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**
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, and educational background required or preferred for the job, the scope and impact of the role within the organization, internal peer equity, and the candidate's specific training, 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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Senior Data Analyst, Data Platforms & Access - Digital
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