Senior Data Analytics Specialist

Department-of-Finance

New York (NY)

Hybrid

USD 85,000 - 120,000

Full time

4 days ago
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Job summary

NYC Department of Finance (DOF) is seeking a Senior Data Analytics Specialist in the Property Data Analytics Report Plan Group to support executive initiatives through data-driven workflows, modeling, and reporting across large datasets.

The role focuses on valuation, GIS data integration with DCP, and automated reporting solutions, with remote work up to two days per week under the city pilot program.

Qualifications

  • Master’s degree with 12 credits or five courses in economics, policy, econometrics, statistics, mathematics, engineering, geography or computer science.
  • Bachelor’s degree and two years professional statistical analysis and programming work.

Responsibilities

  • Supervise and mentor one staff member.
  • Lead modernization of RGB data-formatting process for accuracy and efficiency.
  • Design and develop internal web pages to streamline valuation workflows.
  • Improve data-integration by refining GeoBin/GeoDist data workflows with DCP.
  • Build and deploy Python-driven solution for updating City Hall Briefing Deck.

Skills

Statistical analysis
Programming
Data analysis
Data visualization
Quantitative methods

Education

Master’s degree in social science, economics, statistics, computer science, data analysis, geography, STEM or related field
Bachelor’s degree + 2 years professional experience in statistics/programming

Tools

SAS
SQL
ArcGIS

Job description

NYC Department of Finance (DOF) is responsible for administering the tax revenue laws of the city fairly, efficiently, and transparently to instill public confidence and encourage compliance while providing exceptional customer service.

DOF’s Property Valuation and Tax Mapping is responsible for valuing more than one million properties in the city and overseeing assessments and valuations in a fair and equitable manner. The valuations enable the efficient and effective collection of property tax revenues for New York City.

The Property Division is seeking a Senior Data Analytics Specialist to serve in the Property Data Analytics Report Plan Group. The ideal candidate will provide research and analytical support for executive initiatives by operationalizing new workflow techniques, providing tools to assessors and field valuation that leverage technology through statistical summaries, designing summary data analyses and quality control reports based on extremely large datasets, property valuation, modeling, spatial analyses, and map driven data pulls.

Reporting to the Director of the Property Data Analytics Report Plan Group, the selected candidate’s duties and responsibilities will include, but are not limited to the following:

  • Supervise and mentor one staff member across a variety of operational and innovation-driven projects.
  • Lead the modernization and optimization of the annual NYC Rent Guidelines Board (RGB) data-formatting process to enhance accuracy, efficiency, and usability.
  • Serve as a key contributor in designing and developing internal web pages that strengthen and streamline property valuation workflows.
  • Enhance data-integration capabilities by refining workflows for acquiring GeoBin and GeoDist data from the NYC Department of City Planning (DCP) and updating downstream reporting systems.
  • Build and deploy an automated, Python-driven solution for updating the City Hall Briefing Deck, significantly reducing manual work and improving reporting timeliness.
  • Assume full ownership of RPIE data-mapping processes and associated reporting projects, including ongoing maintenance, updates, and continuous process improvements.
  • Develop and apply machine learning models to identify data anomalies and validate data integrity across multiple reports and databases.

Additional Information:

In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification document form upon hire.

This position may be eligible for remote work up to 2 days per week, pursuant to the Remote Work Pilot Program agreed between the City and the Collective Bargaining Unit representing employees serving in the civil service title.

BUSINESS RESEARCH & DATA ANALY - 13135

Minimum Qualifications

Level I

  • 1. A master’s degree from an accredited college or university in social science, economics, statistics, computer science, data analysis, geography, sciences, technology, engineering, mathematics (STEM), or a closely related field, with at least 12 credits or five courses in economics, public policy, econometrics, statistics, mathematics, engineering, geography or computer science.
  • 2. A baccalaureate degree from an accredited college or university as described in “1” above and two years of full-time, professional experience performing statistical analysis and programming work in any of the areas described in “1” above.

Level II

  • 1. A master’s degree from an accredited college or university in social science, economics, statistics, computer science, data analysis, geography, sciences, technology, engineering, mathematics (STEM), or a closely related field, with at least 12 credits or five courses in economics, public policy, econometrics, statistics, mathematics, engineering, geography or computer science.
  • 2. A baccalaureate degree from an accredited college or university as described in “1” above and two years of full-time, professional experience performing statistical analysis and programming work in any of the areas described in “1” above.

Special Note: To be eligible for placement in Assignment Level II, individuals must have, in addition to meeting the minimum requirements, at least one year full-time work experience in a related field, or a master’s degree from an accredited college or university, in the areas described in “1” above, with at least 12 credits or three advanced courses in economics, public policy, econometrics, statistics, mathematics, engineering, geography, or computer science.

Level III

  • 1. A master’s degree from an accredited college or university in social science, economics, statistics, computer science, data analysis, geography, sciences, technology, engineering, mathematics (STEM), or a closely related field, with at least 12 credits or five courses in economics, public policy, econometrics, statistics, mathematics, engineering, geography or computer science.
  • 2. A baccalaureate degree from an accredited college or university as described in “1” above and two years of full-time, professional experience performing statistical analysis and programming work in any of the areas described in “1” above.

Special Note: To be eligible for placement in Assignment Level III, individuals must have, in addition to meeting the minimum requirements of Level II, at least three years full-time work experience in a related field, or a Doctorate degree from an accredited college or university, in the areas described above, with at least 12 credits or three advanced courses in economics, public policy, econometrics, statistics, mathematics, engineering, geography or computer science.

Preferred Skills
  • Proficiency in using SAS or another programming language (Stata, R, SPSS, or others).
  • Experience with statistical/econometric data modeling techniques and regression analyses.
  • Strong programming, data analyses experience working with large datasets.
  • Experience using ARCGIS or other geographic information systems software.
  • Experience using relational databases, data mining and extracting data using SQL.
  • Proficiency in MS Word, Excel, and PowerPoint.
  • Strong interpersonal and teamwork skills with ability to work independently.
  • Strong quantitative analytical skills and attention to detail.
Public Service Loan Forgiveness

As a prospective employee of the City of New York, you may be eligible for federal loan forgiveness programs and state repayment assistance programs. For more information, please visit the U.S. Department of Education’s website at https://studentaid.gov/pslf/.

Residency Requirement

New York City residency is generally required within 90 days of appointment. However, City Employees in certain titles who have worked for the City for 2 continuous years may also be eligible to reside in Nassau, Suffolk, Putnam, Westchester, Rockland, or Orange County. To determine if the residency requirement applies to you, please discuss with the agency representative at the time of interview.

Additional Information

The City of New York is an inclusive equal opportunity employer committed to recruiting and retaining a diverse workforce and providing a work environment that is free from discrimination and harassment based upon any legally protected status or protected characteristic, including but not limited to an individual's sex, race, color, ethnicity, national origin, age, religion, disability, sexual orientation, veteran status, gender identity, or pregnancy.

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