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Data Analyst Engineer Jobs in New York (NOW HIRING)

Data Analyst

Jericho, NY · On-site

$90K - $110K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Work with data engineers to validate that delivered solutions meet documented requirements ... Experience supporting BI and analytics tools such as Sigma, Power BI, Tableau, or Looker . * Solid ...

Data Analyst

Jericho, NY · On-site

$90K - $110K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Work with data engineers to validate that delivered solutions meet documented requirements ... Experience supporting BI and analytics tools such as Sigma, Power BI, Tableau, or Looker . * Solid ...

P&C Data Analyst

New York, NY

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Work with large, structured and semistructured datasets using SQL and analytical programming languages (e.g., Python or R) * Ensure data quality, reproducibility, and proper documentation of models ...

Data Harmonization Analyst

Manhattan, NY · On-site

  • Medical

  • Retirement

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 ...

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Data Analyst

New York, NY · On-site

$95K - $125K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • PTO

Partner with software developers, database architects, and data analysts to support data initiatives and ensure reliable data delivery. * Independently address the data requirements of multiple teams ...

Data Harmonization Analyst

New York, NY · On-site

  • Medical

  • Retirement

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 Harmonization Analyst

Manhattan, NY · On-site

  • Medical

  • Retirement

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 ...

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 ...

Data Analyst

New York, NY · 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 ...

Senior Data Analyst

New York, NY · 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

Manhattan, NY · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

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

Data Analyst

Manhattan, NY · On-site

$70K - $90K/yr

  • Medical

  • Retirement

  • PTO

Partner cross-functionally with Product, Engineering, Demand, and Supply teams to define key questions, scope analyses, and influence roadmap and prioritization decisions * Translate complex data ...

Demonstrated ability to take analytics/reporting/data science projects from start to finish - including data engineering, descriptive analysis, predictive modelling, reporting, and visualizations

Data Analyst

Manhattan, NY · On-site

$50 - $55/hr

  • Medical

  • Dental

  • Vision

  • Retirement

Data Analyst, Hybrid ( New York, NY). Start date is ASAP for this 6-month contract position. Job ... engineering, and marketing functions Minimum Requirements: * Proficiency in SQL, required for data ...

Data Analyst

Whitestone, NY · On-site

$75K - $90K/yr

Demonstrated ability to take analytics/reporting/data science projects from start to finish - including data engineering, descriptive analysis, predictive modelling, reporting, and visualizations

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Showing results 1-20

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 Aug 14, 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.

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 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 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.

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.
Infographic showing various Data Analyst Engineer job openings in New York as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 14% Part Time, 1% Temporary, 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.

$90K - $110K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

This job post has expired today. Applications are no longer accepted.


1-800-Flowers rating

7.5

Company rating: 7.5 out of 10

Based on 11 frontline employees who took The Breakroom Quiz


Job description

We are seeking a technically strong and detail-oriented Data Analyst to join our Business Intelligence team. This role is ideal for someone who excels at bridging the gap between business needs and data solutions.

In this role, you will work closely with business stakeholders to gather and clarify requirements, analyze existing data pipelines (built in Coalesce.io), and translate business needs into clear, structured documentation for development teams. You will play a key role in ensuring data products are well-defined, consistent, and aligned with business objectives.

This is not a development role - it is focused on analysis, documentation, and data product definition, with strong technical context.

What You'll Do

  • Partner with business stakeholders to gather, clarify, and document data and reporting requirements
  • Analyze existing Coalesce.io pipelines and Snowflake tables to understand current data flows and logic
  • Translate business requirements into clear, structured documentation (e.g., data requirements, transformation logic, mapping specs) for data engineering teams
  • Define and document business metrics, KPIs, and data definitions to ensure consistency across reporting and analytics
  • Work with data engineers to validate that delivered solutions meet documented requirements
  • Support the developers by ensuring requirements are complete, accurate, and well understood
  • Identify gaps, inconsistencies, or data quality issues in existing pipelines and propose improvements
  • Contribute to data governance efforts by maintaining documentation and promoting best practices

What We're Looking For

Required Qualifications

  • 3-5 years of experience in data analytics, analytics engineering, or data engineering roles.
  • Strong SQL skills and experience working with Snowflake or similar cloud data warehouses.
  • Exposure to ELT pipelines and tools such as Coalesce.io, dbt, or comparable frameworks.
  • Experience supporting BI and analytics tools such as Sigma, Power BI, Tableau, or Looker.
  • Solid understanding of data modeling concepts (e.g., star schemas, fact and dimension tables).
  • Ability to work directly with business users and translate requirements into data solutions.
  • Experience with data documentation and data catalogs
  • Exposure to data quality ideologies and data governance practices
  • Experience supporting analytics and reporting use cases

Why Join Us

  • Be part of a modern data organization focused on data as a product.
  • Work with a contemporary analytics stack including Snowflake, Coalesce.io, Sigma, and Power BI.
  • Opportunity to grow your skills across both analytics and data engineering.
  • High visibility role with meaningful impact on how the business uses data.
  • 3-5 years of experience in data analytics, analytics engineering, or data engineering roles.
  • Strong SQL skills and experience working with Snowflake or similar cloud data warehouses.
  • Exposure to ELT pipelines and tools such as Coalesce.io, dbt, or comparable frameworks.
  • Experience supporting BI and analytics tools such as Sigma, Power BI, Tableau, or Looker.
  • Solid understanding of data modeling concepts (e.g., star schemas, fact and dimension tables).
  • Ability to work directly with business users and translate requirements into data solutions.
  • Experience with data documentation and data catalogs
  • Exposure to data quality ideologies and data governance practices
  • Experience supporting analytics and reporting use cases

The expected salary range for this position is $90,000 to $110,000 annually. Actual compensation will be determined based on experience, skills, internal equity, and other factors permitted by law.

To support our commitment to being an employer of choice, we offer comprehensive and competitive health, wellness, and additional benefits to eligible full-time team members. Benefit eligibility may vary based on location, average hours worked, and length of service.

Benefits may include*:

  • Medical, dental, vision, life, and disability insurance for the associate and eligible dependents
  • Flexible Spending Account (FSA)
  • Health Savings Account (HSA)
  • 401(k) retirement savings program
  • Mental health resources and Employee Assistance Program (EAP)
  • Paid vacation time (accrued based on hours worked and tenure)
  • Paid company holidays
  • Employee discount across our family of brands
  • Potential eligibility for annual merit-based compensation increases, where applicable

*Exact benefit terms, conditions, and eligibility requirements are governed by official plan documents and applicable law. The Company reserves the right to modify, amend, or terminate benefit plans and programs at any time.


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