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Data Analytics Supervisor Jobs in New York (NOW HIRING)

Data Analytics Specialist

Manhattan, NY · On-site

$100K - $125K/yr

... supervisors concerning parcels with filed Industrial Commercial Abatement Program (ICAP ... Research and provide additional data and analysis. -Assist other business units with special ...

A minimum of 5 years supervisory or management experience, preferably in criminal justice, data analysis, and research in a non-profit or public sector setting. -Advanced knowledge of data analysis ...

A minimum of 5 years supervisory or management experience, preferably in criminal justice, data analysis, and research in a non-profit or public sector setting. - Advanced knowledge of data analysis ...

A minimum of 5 years supervisory or management experience, preferably in criminal justice, data analysis, and research in a non-profit or public sector setting. -Advanced knowledge of data analysis ...

A minimum of 5 years supervisory or management experience, preferably in criminal justice, data analysis, and research in a non-profit or public sector setting. - Advanced knowledge of data analysis ...

Data Analyst, DOC

Queens, NY · On-site

$35.72/hr

Data Analytics Manager Status: Full Time; Regular; Non-Exempt Salary Range: $35.72 per hour ... Advise supervisor on performance trends related to myriad behavioral health contract goals and ...

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Data Analytics Supervisor information

What does a data analytics supervisor do?

A Data Analytics Supervisor oversees a team of data analysts, ensuring they collect, process, and analyze data effectively to support business decisions. They are responsible for managing projects, setting goals, and providing technical guidance to their team. Additionally, they collaborate with other departments to identify data needs, develop strategies, and present insights to leadership. The role requires strong analytical, communication, and leadership skills.

What are the key skills and qualifications needed to thrive as a data analytics supervisor?

To thrive as a Data Analytics Supervisor, you need strong analytical abilities, leadership experience, proficiency in statistical analysis, and a relevant degree in data science, statistics, or a related field. Familiarity with tools like SQL, Python, R, and business intelligence platforms (e.g., Tableau, Power BI) is typically required, along with experience managing data projects and teams. Excellent communication, problem-solving, and team management skills distinguish top performers in this role. These competencies are crucial for translating data insights into actionable strategies, guiding teams effectively, and ensuring the organization's data-driven decision-making success.

How does a data analytics supervisor typically collaborate with cross-functional teams within an organization?

A Data Analytics Supervisor often works closely with departments such as marketing, finance, operations, and IT to identify analytical needs and deliver actionable insights. They facilitate meetings to understand business objectives, translate requirements into data-driven solutions, and ensure that analytics projects align with broader organizational goals. Effective communication and the ability to translate complex data findings into clear, actionable recommendations are critical for fostering strong interdepartmental collaboration.

What is the difference between Data Analytics Supervisor vs Data Analyst?

AspectData Analytics SupervisorData Analyst
CredentialsBachelor's or Master's in Data Science, Analytics, or related field; often requires experience in leadership rolesBachelor's degree in Data Science, Statistics, or related field; entry to mid-level experience
Work EnvironmentOversees teams, manages projects, collaborates with managementPerforms data analysis, reports findings, supports decision-making
Employer & Industry UsageUsed across industries like finance, healthcare, tech; common in organizations with analytics teamsFound in similar industries; often entry to mid-level role supporting analytics projects

The main difference is that Data Analytics Supervisors oversee teams and manage projects, while Data Analysts focus on analyzing data and generating reports. Supervisors typically have more experience and leadership responsibilities, whereas Data Analysts are more hands-on with data processing and analysis tasks.

What is the role of a data analytics supervisor?

A data analytics supervisor oversees data analysis teams, manages data collection and interpretation, and ensures accurate reporting to support business decisions. They often use tools like SQL, Excel, and data visualization software, and require strong leadership and analytical skills. The role involves coordinating projects, maintaining data quality, and implementing best practices in data management.

What are popular job titles related to Data Analytics Supervisor jobs in New York?

For Data Analytics Supervisor jobs in New York, the most frequently searched job titles are:

What job categories do people searching Data Analytics Supervisor jobs in New York look for?

The top searched job categories for Data Analytics Supervisor jobs in New York are:

What cities in New York are hiring for Data Analytics Supervisor jobs?

Cities in New York with the most Data Analytics Supervisor job openings:

Infographic showing various Data Analytics Supervisor job openings in New York as of August 2026, with employment types broken down into 100% Full Time. Highlights an 65% In-person, 17% Hybrid, and 18% Remote job distribution.

Data Analytics Specialist

City of New York

Manhattan, NY • Hybrid

Full-time

Posted 8 days ago


City Of New York rating

7.2

Company rating: 7.2 out of 10

Based on 81 frontline employees who took The Breakroom Quiz

624th of 849 rated public administrative organizations


Job description

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's Compliance and Quality Assurance Units, serve as independent functions that promote quality assurance, consistency, and integrity in property valuation, property exemptions, and the administration of the Non-Primary Residence Surcharge. The units also assist with Primary Residence Verification (PRV) exemption requests submitted by property owners who disagree with DOF determination regarding PRV eligibility and subsequently the surcharge levy.
The ideal candidate will become familiar with Non-Primary Residence Surcharge Rules and learn how to process Primary Residence Exemption Appeal applications in Smartfile. The overall goal is to ensure the accuracy and the integrity of the assessment role, including matters related to the Non-Primary Residence surcharge; promote the consistent application of policies and procedures by assessors and processors; foster transparency, accountability, and integrity throughout the assessment process; and provide recommendations to improve operations, training, resource development, and business processes.
Reporting to the Senior Director of Compliance and Quality Assurance, the selected candidate's duties and responsibilities will include, but are not limited to the following:
- Use data tool systems, SAS or SQL, to extract data concerning Non-Primary Residence Surcharge parcel level and aggregate data and create statistical reports and summaries. Track changes to relevant property information following the initial surcharge.
- Create annual summary reports on Primary Residence Verification Exemption appeals handled by DOF, Tax Commission rulings on market value and/or primary residence verification appeals, and the number of property owners that file Article 78 cases per DOF PRV exemption denials.
- Serve as the unit's liaison within DOF, coordinating operations or technological issues per Executive, Tax Policy, Information Technology and or Legal Divisions for Property valuation, Property Exemption and Non-Primary Residence Surcharge programs.
- Respond to requests for data reports from various Property Division units under tight deadlines. Produce canned reports for both the Computer Assisted Mass Appraisal application as well as Property Tax System (PTS) and assist other staff to run reports as needed.
- Improve and increase data available for Quality Assurance staff, assessors, and supervisors concerning parcels with filed Industrial Commercial Abatement Program (ICAP') applications. Assist in the cleanup of parcel data by updating descriptive and valuation data, to ensure all changes to properties are captured. Work to consolidate and streamline data sources and reports.
- Manage projects and aid Property Field or other units to identify parcels with incomplete or erroneous data. Research and provide additional data and analysis.
- Assist other business units with special projects as needed.
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

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.

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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