Data Analytics Specialist

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.

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 Data Analytics Reporting & Planning (PDARP) Group, reporting directly to the Assistant Commissioner of Property, provides 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. The selected candidate will report directly to the PDARP Director.

Responsibilities include, but are not limited to, the following:

- Conduct extensive research and analyses of property related data, including, but not limited to, sales, cost, market trends, economic conditions and other factors impacting value using statistical analyses and econometric modeling techniques.

- Use SAS, SQL, or another programming language to perform summary data reporting using large datasets and critically analyze statistical findings.

- Respond to ad-hoc data summary reporting and statistical analyses requests, data mapping requests and assessment review projects.

- Ensure statistical data analyses and data summary report quality by implementing quality control measures.

- Assist with the development of procedure manuals, reports and documentation.

Qualifications

Level I

1. A masters 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 masters 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 masters 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 masters 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.

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.