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Data Analyst ; SG- Item

Job in City of Albany, Albany, Albany County, New York, 12201, USA
Listing for: Office of the NYS Comptroller Thomas P. DiNapoli
Full Time position
Listed on 2026-09-13
Job specializations:
  • IT/Tech
    Data Analyst, Data Science Manager, Data Engineering, Business Systems & Technology Analysis
Salary/Wage Range or Industry Benchmark: 110000 - 150000 USD Yearly USD 110000.00 150000.00 YEAR
Job Description & How to Apply Below

Duties Description

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.

Duties Description

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 item is on the Data Analytics & FirstNY Team in the Bureau of Applications within the Chief Information Office.

Role is to advance enterprise analytics by guiding best practices, setting standards, and overseeing key reports. Build strong partnerships across OSC, foster a collaborative, data‑driven culture, ensure robust controls, lead advanced analytics development, manage procurements, and align analytics strategies with business needs.

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.
Minimum Qualifications

To be appointed to this position, you must have:

  • 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.
Additional

Comments

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…
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