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Full Stack Data Analyst Jobs in New York (NOW HIRING)

MRV, wastewater modeling, process-based modeling, geospatial data analysis & modeling, physics-informed machine learning. * Comfortable working in a fast-paced, early-stage, or evolving company ...

MRV, wastewater modeling, process-based modeling, geospatial data analysis & modeling, physics-informed machine learning. * Comfortable working in a fast-paced, early-stage, or evolving company ...

Full Stack Engineer

Manhattan, NY · On-site

$180 - $220/hr

... designed around data, analytics and modern cloud platforms. We are looking for a Full Stack ... Engineer to build the products that power our reinsurance broking, analytics and client-facing ...

Vice President, Full Stack Engineer We're seeking a future team member for the role of Vice ... Apply strong data analysis, logical thinking, problem solving, and system design skills to address ...

Vice President, Full Stack Engineer We're seeking a future team member for the role of Vice ... Apply strong data analysis, logical thinking, problem solving, and system design skills to address ...

Data Analyst

Manhattan, NY · On-site

$85 - $110/hr

As a leading authority in the pet category, we operate with a full stack of resources, capital, and ... Independence American Insurance Company (IAIC)** is seeking a Data Analyst who will support the ...

Specializing in advanced analytics, machine learning, data analysis, cybersecurity, and business ... What We are Looking For Aretec is seeking a Full-Stack Engineer to create intuitive the client ...

Full Stack Engineer

New York, NY · On-site

$200K - $220K/yr

... designed around data, analytics and modern cloud platforms. We are looking for a Full Stack ... Engineer to build the products that power our reinsurance broking, analytics and client-facing ...

Full Stack Engineer

Manhattan, NY · On-site

$120 - $160/hr

Full Stack Software Engineer About Patlytics: Patlytics is the fastest-growing AI-native patent ... analysis requests * Work on our core backend service, AI platform, and data pipeline service to ...

The role We're hiring a full-stack engineer to build our next-generation electronic lab notebook ... integrated data analysis with Jupyter notebooks * Ship AI-powered workflows, like digitizing ...

Full Stack Software Engineer About Patlytics: Patlytics is the fastest-growing AI-native patent ... analysis requests * Work on our core backend service, AI platform, and data pipeline service to ...

... Ensure analytics data integrity and consistency across platforms, including instrumentation ... full stack development using technologies such as JavaScript/TypeScript, React, Node.js, or ...

Full Stack Engineer

Manhattan, NY · On-site

$180 - $220/hr

Full Stack Engineer - WillisRe WillisRe is building its global technology estate from the ground up ... Consume data through APIs to surface it in performant ways for brokers and analysts. * Build ...

Full Stack Developer

New York, NY · On-site

$175K - $200K/yr

Our investment approach combines macroeconomic fundamental research and quantitative analysis ... Work with SQL Server for relational data and Redis for high-speed caching. * Implement ...

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Showing results 1-20

Full Stack Data Analyst information

See New York salary details

$37.2K

$90.4K

$148.8K

How much do full stack data analyst jobs pay per year?

As of Aug 26, 2026, the average yearly pay for full stack data analyst in New York is $90,411.00, according to ZipRecruiter salary data. Most workers in this role earn between $68,400.00 and $106,100.00 per year, depending on experience, location, and employer.

What is the difference between Full Stack Data Analyst vs Data Scientist?

AspectFull Stack Data AnalystData Scientist
Required SkillsData analysis, visualization, basic programming, SQL, reportingAdvanced programming, statistical modeling, machine learning, data engineering
Work EnvironmentBusiness teams, analytics departments, reporting toolsResearch teams, data science departments, AI/ML projects
CertificationsData analysis, SQL, Excel certificationsData science, machine learning, Python/R certifications
Industry UsageBusiness intelligence, marketing, financeResearch, AI development, predictive modeling

While both roles involve working with data, Full Stack Data Analysts focus on end-to-end data analysis and reporting within business contexts, whereas Data Scientists develop advanced models and algorithms for predictive insights. The roles often overlap in skills like SQL and programming, but Data Scientists typically require deeper expertise in statistical methods and machine learning.

What is a full stack data analyst?

A full stack data analyst is a professional who handles all aspects of data analysis, including data collection, cleaning, visualization, and reporting, often using tools like SQL, Python, or Tableau. They possess skills across data management, analysis, and presentation, enabling them to work independently through the entire data workflow.

What are popular job titles related to Full Stack Data Analyst jobs in New York?

For Full Stack Data Analyst jobs in New York, the most frequently searched job titles are:

What cities in New York are hiring for Full Stack Data Analyst jobs?

Cities in New York with the most Full Stack Data Analyst job openings:

Infographic showing various Full Stack Data Analyst job openings in New York as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $90,411 per year, or $43.5 per hour.

Full-Stack Data Scientist

Manhattan, NY • On-site

$90 - $120/hr

Other

Medical, Retirement, PTO

Posted 5 days ago


Job description

About the Role

We are looking for a product-focused data scientist and developer to join CREW’s Platform Team. This person designs and implements data products to enable other CREW teams and to expand the capabilities of CREW’s intelligence platform. These data products can range from constructing bespoke data transformations or models to extract deeper insights from wastewater data, to developing dashboards or other tooling to facilitate access and engagement with these insights.

This role blends data expertise and production code-writing abilities with cross-functional communication excellence: effective specification gathering from key stakeholders, skillful translation of specifications to appropriate product designs that assure real needs are being met, thoughtful and defensible production-grade implementation of data approaches, and stewardship of cyclical processes of feedback and iteration.

The ideal candidate is a strong data professional who can not only engage with scientists, engineers, and non-technical colleagues to develop a useful dashboard, visualization, or model, but who can also maximize the impact of the resultant data product via stakeholder education and feedback-driven iteration.

Key Responsibilities

Design Data Products
  • Drive discussion with stakeholders to establish a clear articulation of the problem to be solved, whether it be a problem of commercial strategy or wastewater process.

  • Craft a proposed solution that specifically addresses the identified problem.

  • Be the authority on what flavor of data product would be most appropriate and impactful as the solution, deeply informed by the domain expertise of your colleagues.

Implement Data Products
  • Develop visualizations, dashboards, tools, and models to improve company-wide access to and understanding of wastewater process data by writing production-quality code and employing coding best practices.

  • Contribute to the extension and maintenance of CREW’s intelligence platform codebase.

Be a Steward of the Intelligence Platform
  • Educate colleagues on effective use and engagement with data products.

  • Collect feedback and iterate on data products to maximize utility and impact.

  • Unearth data-related problems and platform-capability potential through deep-listening and thoughtful dialog with colleagues, and take initiative to elevate and galvanize efforts to address.

Experience Requirements

  • 4+ years experience as a collaborative data professional (data scientist, data analyst, data engineer).

  • Academic and professional background that pairs data or computer science with environmental or natural science.

  • Python proficiency, especially with scientific (numpy, pandas), machine learning (scikit-learn, pytorch), and visualization (matplotlib, seaborn, plotly) libraries.

  • Experience building for non-technical stakeholders and designing thoughtful data visualizations.

  • Comfortable collecting requirements and iterating based on feedback.

  • Clear communication and documentation habits.

  • Preferred, but not required experiences: MRV, wastewater modeling, process-based modeling, geospatial data analysis & modeling, physics-informed machine learning.

  • Comfortable working in a fast-paced, early-stage, or evolving company environment.

  • You practice extreme ownership (no task is too small).

  • You love being in the trenches with your team and working with high empathy.

  • You have a growth mindset.

Compensation

Compensation at the time of offer is unique to each candidate and based on a variety of factors such as skill set, experience, qualifications, and work location. Salary is one part of the total compensation and benefits package. Other benefits for eligible employees may include: equity through the form of option grants, flexible paid time off, 401(k) plan, well equipped office environment, and health benefits offerings.

The expected base salary range for this role is $90,000 – $120,000. This range represents the company’s estimate for this position at the time of posting however actual compensation may vary based on skills, experience, location, role scope, and business needs.

About the Company

CREW’s technology and services make wastewater treatment cheaper and more efficient, while permanently sequestering CO₂.

Leveraging advanced chemistry, natural minerals, and AI, we’ve developed and are deploying a category-defining process intensification technology, with decarbonization at its core. We are currently deploying this technology across the US and Europe. In addition, we’ve signed $40M+ in carbon removal offtake agreements with leading corporations looking to meet their climate goals, supercharging geographical CREW’s expansion.

CREW has offices and labs in New Haven, CT and offices in Brooklyn, NY.

CREW Insights

  • CREW raises $25M of funding to scale wastewater treatment optimization technology as climate solution

  • A climate fix that could cut your water bill (The Wall Street Journal)

  • Leading U.S. water utility HRSD partners with CREW to deploy process intensification technology (Wastewater Digest)

  • The Colorado Energy Office awards $2.35M to CREW’s wastewater treatment CDR tech (Carbon Herald)

  • CREW signed a carbon credit offtake agreement with the Frontier Climate Fund (Reuters)

  • CREW delivers pioneering wastewater alkalinity enhancement credits (Carbon Herald)

  • CREW recognized as one of the most promising climate tech startups (Business Insider)

Equal Opportunity Employer

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, color, religion, national origin, gender, gender identity or expression, sexual orientation, age, marital status, veteran status, disability status, or any other protected characteristic under applicable law.

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