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Data Analyst Engineer Jobs in New York (NOW HIRING)

This role will build strong relationships and partner closely with Product, Engineering, Data Science, Business Operations, and other Analytics teams to ensure the business executes effective ...

In this role, you will serve as a trusted analytical partner to Cloud Operations, Cloud Engineering ... You''ll work with data from AWS, Azure, and Google Cloud Platform (Google Cloud Platform), as well ...

Data Analyst

Jersey City, NJ ยท On-site

$125 - $150/hr

This role operates as a leadโ€‘level liaison between Data Engineers, Actuaries, and Business ... Perform end-to-end data analysis, including data profiling, validation, and transformation for ...

Job Requirements Data/Business Analyst with 10+ years of experience JD ... Business & Technical Analyst/Engineer to bridge the gap between complex accounting processes and ...

Data analyst responsibilities include conducting full lifecycle analysis to include requirements ... programming (XML, Javascript, or ETL frameworks) * Knowledge of statistics and experience using ...

Data analyst responsibilities include conducting full lifecycle analysis to include requirements ... programming (XML, Javascript, or ETL frameworks) * Knowledge of statistics and experience using ...

We have an exciting opportunity to join our team as a Data Science Analyst/Engineer. As part of the Complement-ARIE program, the NYU-Sage New Approach Methodologies (NAMs) Data Hub and Coordinating ...

Data Analyst

Clark, NJ ยท On-site

Job Title - Data Analyst End Client - L Oreal Location - Clark, NJ, Remote. Primary Skills Required ... Comprehension of DevOps and Agile development and application to data centric architecture and ...

Growth Data Analyst

Manhattan, NY ยท On-site

$125 - $150/hr

You don't need to be a full-stack engineer, but adding components to a React app shouldn't stop you cold. * (Plus) Degree or graduate study in data science or analytics * (Plus) Experience with Hex ...

Senior Data Analyst

New York, NY ยท Remote

$94K - $118K/yr

You'll join a team of 3 spread across data engineering, analytics engineering and insight generation. You will be the second dedicated Data Analyst in the team. Salary Range: USD 165,000 - USD 190 ...

Data Analyst

New York, NY ยท On-site

$135K - $180K/yr

You will perform critical analysis and implement data driven solutions that enable our engineering, product and leadership teams to deliver transformative software to the healthcare providers. What ...

Support testing, production deployments, and ongoing operational support Required Qualifications * 6+ years of experience in Data Analysis, Data Engineering, Data Integration, or related fields

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Data Analyst Engineer information

See New York salary details

$37.2K

$90.4K

$148.8K

How much do data analyst engineer jobs pay per year?

As of Sep 8, 2026, the average yearly pay for data analyst engineer 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 a data analyst engineer?

A Data Analyst Engineer is a professional who combines the skills of data analysis and data engineering to collect, process, and analyze large datasets. They design and maintain data pipelines, ensure data quality, and use analytical tools to extract actionable insights from data. Their work supports business decision-making by providing clear, data-driven recommendations. Data Analyst Engineers often collaborate with data scientists, software engineers, and business stakeholders to optimize data workflows and reporting.

How does a data analyst engineer typically collaborate with other teams to deliver insights?

Data Analyst Engineers often work closely with cross-functional teams such as product managers, software engineers, and business stakeholders. They gather requirements, interpret business needs, and translate them into technical data solutions. Effective communication and regular meetings are key, as Data Analyst Engineers must ensure their analyses align with team objectives and that data-driven insights are actionable. This collaborative environment not only enhances project outcomes but also provides valuable exposure to different perspectives and business strategies.

What are the key skills and qualifications needed to thrive as a data analyst engineer, and why are they important?

To thrive as a Data Analyst Engineer, you need a solid background in statistics, data modeling, and programming languages such as Python or SQL, often backed by a degree in computer science, mathematics, or a related field. Proficiency with data visualization tools (like Tableau or Power BI), database management systems, and certifications such as Microsoft Certified: Data Analyst Associate are typically required. Strong problem-solving abilities, attention to detail, and effective communication skills help you interpret data insights and collaborate with stakeholders. These skills ensure accurate data analysis, impactful reporting, and alignment with business objectives.

What is the difference between Data Analyst Engineer vs Data Engineer?

AspectData Analyst Engineer
Primary FocusCombines data analysis with engineering tasks to prepare and analyze data for insights
Skills & CertificationsData analysis, SQL, Python, data visualization, some data engineering tools
Work EnvironmentCollaborates with data teams, business units, often in analytics or product teams
Tools & TechnologiesSQL, Python, R, BI tools, ETL pipelines

While Data Analyst Engineers focus on analyzing and preparing data for insights, Data Engineers primarily build and maintain data infrastructure. Data Analyst Engineers bridge analysis and engineering, making them versatile for data-driven decision-making.

What job categories do people searching Data Analyst Engineer jobs in New York look for?

The top searched job categories for Data Analyst Engineer jobs in New York are:

Infographic showing various Data Analyst Engineer job openings in New York as of September 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $90,411 per year, or $43.5 per hour.

Senior Data Analyst

Port Chester, NY โ€ข On-site

Perennial Resources International
IT Servicesย โ€ขย 51 - 200 employees

$95K - $120K/yr

Other

Posted 7 days ago


Job description

We are looking for a Full-time/Permanent,  Senior Data Analyst/Analytics Engineer who can be hybrid/ideally 3 days a week onsite in Westchester County, NY.

This role is not eligible for employment-based immigration sponsorship. Applicants must be legally authorized to work in the United States without employer sponsorship, now or in the future.

This Analytics position will play a key role in helping research and discovery teams turn data into meaningful business outcomes. This position combines strong technical expertise with business acumen to design data solutions, investigate complex questions, and uncover insights that inform strategic and operational decisions.

Working across data, analytics, and research functions, the Analytics Engineer will develop trusted datasets, analytical models, reporting tools, and other data-driven solutions. The ideal candidate is comfortable working with open-ended problems, identifying the right analytical approach, and communicating findings clearly to both technical and non-technical stakeholders. Success in this role requires a blend of analytical thinking, engineering skills, curiosity, and the ability to translate business needs into practical data solutions.

Skills:

  • Experience working in analytics, analytics engineering, data analysis, or a related technical discipline.
  • Proven ability to turn complex business requirements into practical, data-driven solutions for cross-functional stakeholders.
  • Hands-on experience using SQL and Python
  • Advanced proficiency in SQL, including experience designing and working with structured data models.
  • Strong understanding of the end-to-end analytics process, from data exploration and analysis through validation and delivery.
  • Familiarity with core data science, machine learning, and artificial intelligence concepts.

For a complete and detailed Position Description - Please Apply with Resume