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Strategic Performance Analyst

Job in New York, New York County, New York, 10261, USA
Listing for: City of New York
Full Time position
Listed on 2026-08-19
Job specializations:
  • Business
    Data Analyst
Salary/Wage Range or Industry Benchmark: 88000 - 101000 USD Yearly USD 88000.00 101000.00 YEAR
Job Description & How to Apply Below
Location: New York

With an overarching mission to eliminate ageism and ensure the dignity and quality of life of approximately 1.8 million older New Yorkers, the NYC Department for the Aging is deeply committed to helping older adults age in their homes and creating a community-care approach that reflects a model age-inclusive city.

NYC Aging's Office of Strategic Operation's Performance, Analytics and Research Unit (PAR) serves as NYC Aging's resource for performance management, data analytics, research, and program evaluation. The office provides agency-wide leadership in measuring organizational performance, ensuring data quality and integrity, evaluating program outcomes and effectiveness, and generating actionable insights that inform strategic planning, policy development, and operational decision-making.

The Office of Strategic Operations seeks a motivated, organized and detail-oriented individual with excellent data management, analytic and quantitative skills to serve as a Strategic Performance Analyst in the Planning, Analytics and Research Unit (PAR). The Strategic Performance Analyst will play a crucial part in using Tableau to maintain, develop, and design data reports to aid in provider monitoring and decision-making, and assisting in data extraction, cleaning, and validation processes.

Additionally, the Strategic Performance Analyst will conduct in-depth analyses of NYC Aging programs, synthesizing complex information into presentations and reports tailored for various audiences. Strong written and verbal communication skills are paramount for success in this role, as the Strategic Performance Analyst will be required to effectively communicate intricate findings to diverse stakeholders.

Responsibilities
  • Code and/or program platforms and data management using software such as Tableau, SQL, R, Python, etc., to accurately pull data from NYC Aging’s data sources.
  • Building and maintaining Tableau dashboards and reports.
  • Cleaning, validating, and reconciling data to ensure accuracy and consistency.
  • Implementing data quality checks and processes to maintain data integrity.
  • Working on analytical projects aimed at enhancing aging services.
  • Responding to requests for information on programs and services and providing ad hoc reports.
  • Non-City rate (Non-City candidates & candidates with less than 2 years of City Service)
  • City incumbent rate (Candidates with 2 or more active years of City Service)
Minimum Qualifications
  • For Assignment Level I (only physical, biological and environmental sciences and public health) A master's degree from an accredited college or university with a specialization in an appropriate field of physical, biological or environmental science or in public health.

To be appointed to Assignment Level II and above, candidates must have:

  • A doctorate degree from an accredited college or university with specialization in an appropriate field of physical, biological, environmental or social science and one year of full-time experience in a responsible supervisory, administrative or research capacity in the appropriate field of specialization; or
  • A master's degree from an accredited college or university with specialization in an appropriate field of physical, biological, environmental or social science and three years of responsible full-time research experience in the appropriate field of specialization; or
  • Education and/or experience which is equivalent to "1" or "2" above. However, all candidates must have at least a master's degree in an appropriate field of specialization and at least two years of experience described in "2" above. Two years as a City Research Scientist Level I can be substituted for the experience required in "1" and "2" above.
Note Probationary Period

Appointments to this position are subject to a minimum probationary period of one year.

Preferred Skills
  • Advanced knowledge of, and high proficiency with Tableau, SQL, SPSS and/or Salesforce as well as knowledge of other analytic, statistical and/or data management programs/software (i.e.: R, Power BI, Python).

    - Advanced knowledge of, and high proficiency with, Microsoft Office programs including (but not limited to) Microsoft Excel,…
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