Remote Data And Analytics Jobs
Remote Data And Analytics jobs are in steady demand across the U.S., with remote-first firms, distributed tech teams, and companies in finance, healthcare, and software hiring for these roles. Employers hiring remotely right now include Fearless, Praescient Analytics, and JBS INTERNATIONAL. Find a role that fits below and apply directly.
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Senior Data Analytics Specialist
- DEPARTMENT OF FINANCE
Posted on
09/16/2026
- Full-time
Location
MANHATTAN
- No exam required
Department
Data Analytics Report Plan Grp
Save
Job Description
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.
Save
Job ID
787984
Posted until
09/26/2026
Title code
13135
Civil service title
BUSINESS RESEARCH & DATA ANALY
Title classification
Non-Competitive-5
Business title
Senior Data Analytics Specialist
- Experience level: Experienced (non-manager)
Job level
02
Number of positions
1
Work location
66 John Street, New York, Ny
- Category: Policy, Research & Analysis
Senior Data Analytics Specialist
Senior Data Analytics Specialist
- DEPARTMENT OF FINANCE
Posted on
09/16/2026
- Full-time
Location
MANHATTAN
- No exam required
Department
Data Analytics Report Plan Grp
Save
Job Description
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.
Save
Job ID
787984
Posted until
09/26/2026
Title code
13135
Civil service title
BUSINESS RESEARCH & DATA ANALY
Title classification
Non-Competitive-5
Business title
Senior Data Analytics Specialist
- Experience level: Experienced (non-manager)
Job level
02
Number of positions
1
Work location
66 John Street, New York, Ny
- Category: Policy, Research & Analysis
Senior Data Analytics Specialist
See All 150+ Remote Data And Analytics Jobs
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Find JobsRemote Data And Analytics Job Market
Who's Hiring
Top Industries Hiring
- Technology & Software
- Consulting & Professional Services
- Retail
- Manufacturing
- Healthcare & Medical Services
What Employers Look For
The qualifications that appear most often in remote data and analytics jobs.
- Proficiency in SQL for querying and transforming relational data
- Experience with Python or R for data analysis and automation
- Hands-on work with BI tools such as Tableau, Power BI, or Looker
- Familiarity with cloud data platforms like Snowflake, BigQuery, or Redshift
- Bachelor's degree in statistics, mathematics, computer science, or a related field
- Ability to communicate data findings clearly to non-technical stakeholders
Tips for Your Remote Data And Analytics Job Search
Show async communication in your portfolio
Remote data and analytics teams depend on written handoffs and documented analysis. Include a sample report, dashboard with written commentary, or a README that explains your methodology. Employers want proof you can communicate findings without a meeting.
Apply early to remote roles that fit
Migrate Mate lists remote data and analytics openings from across the U.S. in one place. Search roles that match your stack and experience level and apply directly, without waiting to refine or over-prepare. Early applicants get more attention on competitive remote postings.
Highlight cloud and remote-tool fluency
Remote data and analytics employers expect hands-on experience with cloud platforms like AWS, GCP, or Azure alongside tools like dbt, Airflow, or Looker. Name the specific stack you've used in your resume, since remote teams hire for immediate productivity with minimal ramp-up.
Prepare for async technical screens
Many remote data and analytics interviews include take-home SQL or Python exercises and recorded video responses instead of live calls. Practice writing clean, commented code and explaining your reasoning in writing, since hiring managers evaluate both the answer and how clearly you document it.
Remote Data And Analytics Jobs: Frequently Asked Questions
How do I get a remote data and analytics job?
Target companies that already run distributed teams, since they've built the workflows that make remote data and analytics roles function well. Remote employers screen for self-direction, clear written communication, and the ability to document findings without hand-holding. Proficiency in SQL, Python, and cloud-based BI tools like Looker or Tableau signals readiness. A portfolio of projects with written context gives you a concrete edge over candidates who only list skills.
Which companies hire remote data and analyticss?
Companies hiring remote data and analyticss right now include Fearless, Praescient Analytics, and JBS INTERNATIONAL, based on current remote listings on Migrate Mate as of September 2026. Remote-first technology firms, distributed SaaS companies, and healthcare and financial services organizations with global teams are among the most consistent sources of remote data and analytics openings.
Can you get a remote data and analytics job with no experience?
Yes, but remote entry-level data and analytics roles are harder to land because employers expect you to work independently from day one without in-person guidance. Remote-first startups and mid-size tech companies are the most likely to hire entry-level candidates remotely. A portfolio of personal or open-source data projects, completed online certifications, and demonstrated async communication skills can substitute for formal experience and open the door.
Do you need a degree for remote data and analytics jobs?
Not always. Many remote employers weigh demonstrated skills and real project work as heavily as a degree, particularly in technology and SaaS companies where output is measurable. Proficiency in SQL, Python, data visualization tools, and the ability to communicate findings clearly in writing matter more to most remote hiring managers than the credential itself. A strong portfolio often does more than a diploma.
Which industries hire the most remote data and analyticss?
Most remote data and analytics openings sit in Technology & Software, Consulting & Professional Services, and Retail, per current remote listings on Migrate Mate as of September 2026. These sectors rely on distributed teams that need to analyze data across time zones and geographies, making remote data and analytics roles a natural fit for how they operate.
See All 150+ Remote Data And Analytics Jobs
Find roles that match your experience and apply in just a few clicks.
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