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Remote Applied Data Analytics Jobs in New York (NOW HIRING)

Qvest US

Manager - Data & Analytics

New York, NY · On-site +1

... and applied AI, our exceptionally talented teams partner with Fortune 1,000 companies to ... Remote & Hybrid Work While remote or hybrid work may be permitted for certain projects, client ...

Qvest US

Manager - Data & Analytics

New York, NY · On-site +1

... and applied AI, our exceptionally talented teams partner with Fortune 1,000 companies to ... Remote & Hybrid Work While remote or hybrid work may be permitted for certain projects, client ...

Oscar Health

Manager, Data Analytics

New York, NY · Remote

$111K - $145K/yr

This position is remote. Pay Transparency: The base pay for this role is: $111,034.80 - $145,733.18 ... Can lead a team of data analysts Requirements: * 4+ years of technical work experience using ...

Oscar Health

Manager, Data Analytics

New York, NY · Remote

$111K - $145K/yr

This position is remote. Pay Transparency: The base pay for this role is: $111,034.80 - $145,733.18 ... Can lead a team of data analysts Requirements: * 4+ years of technical work experience using ...

YO AI Labs

AI Data Scientist - Remote

New York, NY · Remote

Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their ... Applied AI, Statistics, Quantitative Analytics, or Data Analytics. * Experience producing or ...

Serotonin

Blockchain, Data Analytics (Remote)

New York, NY · On-site +1

$80K - $150K/yr

Build and maintain data pipelines that power both ad-hoc analyses and production dashboards ... Remote Work Environment * Maternity/Paternity Leave $80,000 - $150,000 a year The salary range for ...

Jackpot

Director of Data & Analytics

New York, NY · On-site +1

$170K - $200K/yr

While this is a remote position, you must be located or willing to relocate to the NYC Metro area to qualify. WHAT YOU'LL DO: * Set the vision and strategy for Data Analytics and Data Science

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All JobsApplied Data Analytics JobsRemote Applied Data Analytics JobsRemote Applied Data Analytics Jobs in New York

Remote Applied Data Analytics information

What is remote applied data analytics?

A Remote Applied Data Analytics job involves analyzing data to extract insights and help organizations make data-driven decisions, all while working from a location outside of a traditional office. Professionals in this role use statistical methods, programming, and data visualization tools to interpret complex datasets. They often collaborate with cross-functional teams to solve business problems, optimize processes, and present actionable findings. Remote positions in this field require strong technical skills, good communication, and the ability to work independently using digital collaboration tools.

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

To thrive as a Remote Applied Data Analytics professional, you need a strong background in statistics, data analysis, and problem-solving, typically supported by a degree in a quantitative field. Proficiency with data analytics tools such as Python, R, SQL, and visualization platforms like Tableau or Power BI, as well as familiarity with data management systems, is essential. Strong communication, self-motivation, and the ability to work independently are key soft skills for succeeding remotely and translating data insights into actionable recommendations. These skills ensure effective analysis, clear communication of findings, and the ability to drive data-informed decisions in a remote work environment.

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

Remote applied data analytics professionals often encounter challenges such as effective communication with cross-functional teams, maintaining data security, and managing time across different time zones. To address these issues, it's important to leverage collaborative tools for clear communication, establish regular check-ins, and follow best practices for data privacy. Additionally, setting structured work hours and proactively aligning with teammates can help ensure smooth project workflows and successful outcomes.

What is the difference between Remote Applied Data Analytics vs Remote Data Analyst?

AspectRemote Applied Data AnalyticsRemote Data Analyst
Required CredentialsBachelor's in Data Science, Analytics, or related field; proficiency in analytics toolsBachelor's in Statistics, Mathematics, or related field; experience with data visualization tools
Work EnvironmentCollaborative teams, project-based tasks, often cross-functionalData-focused tasks, reporting, and data interpretation within organizations
Employer & Industry UsageTech, finance, healthcare, consulting firmsBusiness, marketing, finance, and healthcare sectors

Remote Applied Data Analytics involves applying advanced analytics techniques to solve complex problems, often requiring knowledge of data science tools. Remote Data Analysts focus on interpreting data, creating reports, and supporting decision-making. While both roles require analytical skills, Applied Data Analytics emphasizes modeling and predictive analytics, whereas Data Analysts concentrate on data interpretation and visualization.

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

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

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

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

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

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

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

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

Remote Applied Data Analytics jobs near you
Infographic showing various Remote Applied Data Analytics job openings in New York as of August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 9% Part Time, and 2% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution.

Sr. Data Researcher || 100% REMOTE

GD Resources LLC

Manhattan, NY • On-site, Remote

$140K - $160K/yr

Full-time

Posted 19 days ago

Job description

Job Title - Sr. Data Researcher
Location - 100% REMOTE
Base Salary - $140,000 - $160,000
JOB #. 83483208
Industry: Education / Training / Libraries
Job Category: Information Technology - Business Intelligence
*** Client Screening Questions ***
1- Do you have Ph. D?
2- Do you have background in relational databases, big data systems, and data analytic systems?
3- Are you familiar with git and project management tools, such as JIRA ?
Ideal Candidate
PhD in Computer Science, or similar fields
Background in relational databases, big data systems, and data analytic systems
Expertise in data management, data cleaning, distributed systems, database storage engines, query processing and query optimization, and applied data science
Job Details:
We are interested in a variety of topics including big data management, self-service data cleaning and transformation at scale, data quality, search and discovery of structured data, information extraction, time-series and heterogenous data analytics, metadata management, applied AI, machine learning and data mining, data visualization, natural language processing and big data systems including systems' concerns such as: resource management, storage, caching, query processing, query optimization, security, and privacy.
Key Responsibilities:
Investigate heterogenous data management techniques and polystore systems, including the application of AI & machine learning techniques to foundational data management problems including data quality, data profiling, data integration and schema matching.
Develop tools and frameworks to enable scalable development of machine learning models and data science algorithms across data domains, including tabular, time series, text, audio and video.
Create distributed data processing architectures that leverage "compute at the edge" to enable novel use cases and applications such as predictive routing, data-driven experiences, and adaptive environments.
Work with GEIS researchers to understand data-related opportunities in peer researchers' domains such as applied AI and machine learning in Audio / Video domains.

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