Data Analyst 3

#2431 - Data Analyst 3

Coordinate the analysis of trends in data sources and the assessment of data structures; reviews data sources and reports produced by lower level staff for accuracy; conducts the most difficult analysis of data; meets with business areas to discuss the development of the agency strategy for analytics solutions; oversees the drafting of informational documents on analytics solutions; reviews and suggests improvements to current or planned systems and processes; and supervises a team of Data Analysts 1 and 2.

This position is in the Bureau of Data Analytics & FirstNY within the Chief Information Office.

• Lead and manage an analytics team, guiding best practices and innovative methods.
• Partner with key stakeholders, oversee major reporting, foster collaboration, and promote data-driven decision-making.
• Direct advanced model development, ensure data integrity, manage procurement, uphold controls, and align analytics goals across the organization.
• Develop an analytics roadmap aligning data priorities with organizational goals.

Position Summary:

Item #: 00755
Bargaining Unit: PS&T - Professional, Scientific, and Technical (PEF)
Division: Chief Information Office
Bureau: Data Analytics & FirstNY
Jurisdictional Class: Non-Competitive
Appointment Type: Contingent-Permanent
Salary Grade: 027
Salary Range: $106,898 - $131,665
Employment Type: FULL TIME
Occupational Category: Other Professional Careers
NY HELPS: No
Travel Percentage: 0%
Work Week: Monday - Friday
Work Hours: 8:00AM - 4:00PM
Shift: First Shift Day
Mandatory Overtime: N/A
Compressed Workweek Allowed: No
Telecommuting Allowed: Yes

How to Apply:

To be considered for this position, you must create a candidate profile or log in to your profile and upload the documents listed below.

• Resume
• Cover Letter
• Minimum Qualifications Template URL:
• College Transcripts

Please ensure item number 00755-JER is included in each document's file name.


Minimum Qualifications:

To be appointed to this position, you must have:

Nine years of experience* in data visualization, and statistical models and data mining tools.


*Educational Substation: An associate's degree may substitute for two years of general experience; or a bachelor's degree may substitute for four years of general experience. A master's degree in data or computer science, informatics, economics, statistics, mathematics, or a related field, may substitute for one year of general experience; or a Ph.D. in these fields may substitute for two years of general experience.

Preferred Qualifications/Knowledge, Skills and Abilities:

• Bachelor's degree in a quantitative field such as Computer Science, Statistics, Mathematics, Economics, or a related discipline. Master's degree preferred.
• Five years of experience in data analytics including, but not limited to, data manipulation, modeling, statistical analysis, data visualization, and predictive modeling.
• Demonstrated experience leading a matrix team spread across multiple business areas, with a focus on data-driven decision-making.
• Strong knowledge of data analytics tools and programming languages including, but not limited to:
• Python.
• R.
• SQL.
• Equivalent technologies.
• Demonstrated experience establishing and leading a Data Analytics Center of Excellence, ensuring adherence to best practices and driving a culture of excellence.
• Ability to lead and motivate teams to deliver impactful results.
• Strong collaboration and communication skills.
• Ability to effectively interact with all levels of the organization and stakeholders.
• Knowledge of industry trends, emerging technologies, and best practices in data analytics, with a passion for continuous learning and innovation.
• Demonstrated problem-solving skills with the ability to analyze complex business challenges and develop data-driven solutions.
• Demonstrated experience in project management including, but not limited to:
• Project Scheduling, change control, project time management, resource management, and procurement management.
• Demonstrated experience in technical writing including, but not limited to:
• Evaluation of written materials and specifications.
• Evaluation of proposals and statements of work.
• Writing Skills: Standards and procedures, and Service Level Agreements (SLAs).
• Demonstrated experience in emotional intelligence.
• Demonstrated experience in both written and verbal communication of information to stakeholders at all levels of the organization

Contact Information:


If you have questions about this vacancy, please contact:

Division Contact:

Michael Platel
View email address on click.appcast.io

Human Resources Contact:

Jane Rost
View phone number on click.appcast.io
View email address on click.appcast.io

The Office of the State Comptroller does not participate in E-Verify or sponsor visa applications.

Telecommuting


The Office of the New York State Comptroller (OSC) supports telecommuting where it is reasonable to do so based upon the agency's mission and operational needs. Generally, employees new to OSC will be restricted from telecommuting for at least 8 calendar weeks. After the initial 8 calendar week restriction, if an employee's primary residence location, duties and work performance are aligned with telecommuting they may be allowed to do so. Upon approval to telecommute, OSC employees may telecommute up to 5 days per pay period.

Reasonable Accommodation


The NYS Office of the State Comptroller provides reasonable accommodation to applicants with disabilities. If you need reasonable accommodation for any part of the application and hiring process, please notify the Division of Human Resources at View phone number on click.appcast.io.

Equal Opportunity Employment


The Office of the NYS Comptroller values a workforce with a broad, diverse range of backgrounds and perspectives. All employees are expected to contribute to a professional environment focused on self-evaluation and improvement, as well as acceptance and support of coworkers.


Some positions may require additional credentials or a background check to verify your identity.