2

Full Time Data Analytics Jobs in New York (NOW HIRING)

... full-time, professional experience performing statistical analysis and programming work in any of ... data analysis, geography, sciences, technology, engineering, mathematics (STEM), or a closely ...

New

Manager, Data Analytics

New York, NY · On-site

$123K - $161K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

We're hiring a Data Analytics Manager to join our Operations Team. Oscar is the first health ... Full-time employees are eligible for benefits including: medical, dental, and vision benefits, 11 ...

Manager, Data Analytics

New York, NY · Hybrid

$123K - $161K/yr

We're hiring a Data Analytics Manager to join our Operations Team. Oscar is the first health ... Full-time employees are eligible for benefits including: medical, dental, and vision benefits, 11 ...

Data & Analytics Engineer

New York, NY · On-site

$170K - $250K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

All full-time roles are in person in New York. About the role As a Data & Analytics Engineer at Forus, you will build the data foundation that powers how we operate, measure, and grow. You will ...

This is a fulltime role. The employer is unable to sponsor or accept candidates who are on Work ... Develop and implement databases, data collection systems, data analytics and other strategies that ...

Data Engineer

New York, NY · On-site

$125K - $150K/yr

You'll be mentored by full-time Data Engineers and learn about business context from data users ... An analytical and logical thinker. You're able to investigate something new, ask good questions ...

Data Engineer

New York, NY

$125K - $150K/yr

You'll be mentored by full-time Data Engineers and learn about business context from data users ... An analytical and logical thinker. You're able to investigate something new, ask good questions ...

next page

Showing results 1-20

Full Time Data Analytics information

Is full time data analytics still a good career?

Full-time data analytics is a strong career choice due to increasing demand for data-driven decision making across industries. Skills in programming, statistical analysis, and tools like SQL and Python are highly valued, and job growth is expected to continue as organizations prioritize data insights.

What are the key skills and qualifications needed to thrive as a full time data analytics professional?

To excel in a Full Time Data Analytics role, strong analytical skills, proficiency in mathematics and statistics, and a relevant degree such as in computer science, statistics, or data science are essential. Familiarity with tools like SQL, Python or R, and data visualization platforms such as Tableau or Power BI, as well as knowledge of database management systems, is typically required. Excellent problem-solving abilities, attention to detail, and effective communication skills distinguish top performers in this field. These competencies are crucial for transforming complex data into actionable insights that drive business decisions and strategic growth.

What is the difference between Full Time Data Analytics vs Data Analyst?

AspectFull Time Data AnalyticsData Analyst
CredentialsBachelor's degree in Data Science, Analytics, or related field; certifications like CAP, Microsoft Certified Data AnalystBachelor's degree often required; certifications like CAP or Microsoft Certified Data Analyst are common
Work EnvironmentFull-time employment in corporate, tech, finance, or healthcare sectorsTypically similar; employed full-time in various industries
Employer & Industry UsageUsed by companies seeking ongoing data analysis supportCommonly used by organizations needing data insights and reporting

Full Time Data Analytics and Data Analyst roles often overlap in credentials, work environment, and industry usage. The main difference lies in scope: Full Time Data Analytics may imply a broader or more strategic role, while Data Analyst is more specific to data reporting and analysis tasks.

What is a full time data analytics job?

Full Time Data Analytics jobs involve working with data to help organizations make informed business decisions. Professionals in these roles collect, process, and interpret large datasets to identify trends, patterns, and opportunities. They use statistical tools, programming languages, and visualization techniques to turn raw data into actionable insights. These positions typically require strong analytical skills and proficiency in software such as Excel, SQL, Python, or R. Full-time roles generally offer regular working hours and employee benefits.

What are some common challenges faced by professionals in full time data analytics roles, and how can they be addressed?

One common challenge in full-time data analytics roles is managing large and complex datasets that may contain inconsistencies or missing values. Analysts often need to spend significant time on data cleaning and preprocessing before meaningful analysis can occur. Additionally, communicating technical findings to non-technical stakeholders can be challenging, requiring strong data visualization and storytelling skills. Collaborating closely with business teams and continuously refining communication methods can help address these challenges and increase the impact of analytics work.

What are the most commonly searched types of Data Analytics jobs in New York?

The most popular types of Data Analytics jobs in New York are:

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

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

Data Analytics Specialist

City of New York

Manhattan, NY • Hybrid

Full-time

Posted yesterday

New


City Of New York rating

7.2

Company rating: 7.2 out of 10

Based on 81 frontline employees who took The Breakroom Quiz

621st of 846 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.


What City Of New York employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom