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Remote Analytics Engineer Jobs in New York (NOW HIRING)

YO AI Labs

CUDA Engineering Expert - Remote

New York, NY · Remote

$60 - $100/hr

CUDA Engineering Expert Job Type: Contractor Location: Remote Job Overview We are seeking ... Analyze, profile, and optimize GPU kernels using CUDA and profiling tools. * Identify performance ...

Moody's Analytics

Senior DevOps Engineer (Remote)

New York, NY · Remote

$142K - $182K/yr

... MLOps Engineer @ Moody's [IMMEDIATE FILL]Do you have a healthy disregard for the status quo? Does ... ABOUT MOODY'S ANALYTICS MACHINE LEARNING TEAM We are a team that creates and delivers machine ...

YO AI Labs

COBOL Developer - Remote

New York, NY · Remote

$100 - $150/hr

COBOL Developer - Remote Role Type: Contractor Location: Remote Role Overview We are seeking ... Analyze and interpret existing COBOL codebases, workflows, and business logic. * Develop clear and ...

NAVA Software Solutions

Data Engineer - Remote

Manhattan, NY · On-site +1

$126K - $151K/yr

Remote Seeking a highly skilled and motivated Data Engineer to join a dynamic team. As a key ... Perform data engineering and analytics tasks, including data ingestion, SQL orchestration, and data ...

LOVESAC COMPANY

Sr. Engineer, Data & Analytics

Stamford, CT · Remote

$122K - $146K/yr

This position is remote and will report into Lovesac Corporate HUB based in Stamford, CT ... What You'll Do Power BI Engineering & Analytics Delivery * Design, develop, and maintain scalable ...

YO AI Labs

CUDA Developer - Remote

New York, NY · Remote

CUDA Engineering Expert Job Type: Contractor Location: Remote Job Overview We are seeking ... Analyze, profile, and optimize GPU kernels using CUDA and profiling tools. * Identify performance ...

YO AI Labs

Mainframe Developer - Remote

New York, NY · Remote

$53.50 - $69/hr

COBOL Developer - Remote Role Type: Contractor Location: Remote Role Overview We are seeking ... Analyze and interpret existing COBOL codebases, workflows, and business logic. * Develop clear and ...

Accrete

Senior Platform Engineer (Remote)

New York, NY · Remote

$180K - $200K/yr

At the core of our offerings are our AI agents, designed to autonomously analyze data, generate ... The Senior Platform Engineer is a senior technical leader responsible for designing, implementing ...

YO AI Labs

QA Test Engineer - Remote

New York, NY · Remote

$45.25 - $61.50/hr

QA Engineer Role Type: Contractor Location: Remote About the Role We are looking for experienced QA ... Strong analytical skills and attention to detail. * Excellent written and verbal communication.

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Showing results 21-40

All JobsAnalytics Engineer JobsRemote Analytics Engineer JobsRemote Analytics Engineer Jobs in New York

Remote Analytics Engineer information

See New York salary details

$49.8K

$101.9K

$148.2K

How much do remote analytics engineer jobs pay per year?

As of Sep 7, 2026, the average yearly pay for remote analytics engineer in New York is $101,941.00, according to ZipRecruiter salary data. Most workers in this role earn between $76,600.00 and $129,100.00 per year, depending on experience, location, and employer.

What is a remote analytics engineer?

A Remote Analytics Engineer is responsible for designing, building, and maintaining the data infrastructure that enables data-driven decision-making. They work with data pipelines, ETL processes, and data warehouses to ensure accurate and efficient data flow. This role typically requires expertise in SQL, Python, and data modeling, as well as experience with cloud platforms and analytics tools. Since the position is remote, strong communication and collaboration skills are essential for working with distributed teams.

What are the key skills and qualifications needed to thrive as a remote analytics engineer?

To thrive as a Remote Analytics Engineer, you should have a strong background in data analysis, data engineering, and statistical modeling, usually supported by a degree in computer science, statistics, or a related field. Expertise in tools like SQL, Python, R, cloud platforms (such as AWS or Google Cloud), and experience with data visualization tools or certifications (e.g., Google Data Analytics) are typically required. Excellent communication, problem-solving abilities, and self-motivation are vital soft skills for effective remote collaboration and delivering analytical insights. These competencies ensure you can manage complex data pipelines, work seamlessly with distributed teams, and provide actionable results that support business decisions.

What are the main challenges faced by remote analytics engineers, and how are they overcome?

Remote Analytics Engineers often encounter challenges such as coordinating across different time zones, maintaining clear communication with team members, and managing large datasets securely from a distance. These are typically addressed by leveraging collaboration tools (like Slack, Jira, or Zoom), following best practices in data security, and setting consistent check-in routines with the team. Additionally, remote engineers often use robust documentation and automated workflows to ensure data quality and project transparency. Building strong relationships and staying proactive in communication helps pave the way for successful collaboration and project delivery.

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

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

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

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

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

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

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

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

Remote Analytics Engineer jobs near you
Infographic showing various Remote Analytics Engineer job openings in New York as of August 2026, with employment types broken down into 84% Full Time, and 16% Contract. Highlights an 100% Remote job distribution, with an average salary of $101,941 per year, or $49 per hour.

Data Liaison (Business Analytics & Insights)- 6 Month Contract

Ogc Global

Manhattan, NY • On-site, Remote

Contractor

Re-posted 3 days ago

Job description

OGC is a boutique research and consulting agency specializing in data-driven strategy, quantitative analytics, and Customer Experience (CX) program design and optimization. We work with some of the world's largest organizations across a variety of industries, including Financial Services, Specialty Retail, Telecommunications, Hospitality, and Software, helping them gain a deep understanding of their customers, develop actionable insights, and improve business processes.
Our client is a global leader in the Consumer Packaged Goods industry, with a focus on delivering data-driven insights that support commercial decision-making and business growth. Their Growth Analytics team develops dashboards and reporting solutions used by senior leadership across the organization. They are seeking a Data Liaison to bridge the gap between business stakeholders and technical development teams, ensuring reporting solutions accurately reflect business needs and industry metrics.
This is a 6-month remote contract with the potential for extension.
About the Role
The ideal candidate is analytical, commercially minded, and an exceptional communicator who enjoys translating business needs into actionable data requirements. You will work closely with business stakeholders, insights teams, and analytics developers to ensure dashboards and reporting solutions are built using the correct business logic, calculations, and data sources.
This role is ideal for someone with experience in business analytics, commercial insights, or consumer insights who understands both the language of the business and the language of data. should be comfortable working closely with technical teams, translating business requirements into technical specifications, and validating data before it reaches senior leadership.
You'll also play an important role in helping the analytics team build a stronger understanding of the business, enabling them to become increasingly self-sufficient over time.
Responsibilities Include
  • Serve as the primary liaison between business stakeholders, insights teams, and analytics developers, translating executive requests into clear business requirements, data specifications, and analytical approaches.
  • Review dashboards, calculations, and reporting logic before release, ensuring the correct business logic, methodologies, metrics, and data sources (including syndicated datasets such as Nielsen) are used while proactively identifying and resolving reporting inaccuracies.
  • Participate in business and executive reporting discussions to understand business priorities, reporting requirements, and how data is used to support decision-making.
  • Document business metrics, calculation methodologies, and data source guidance to establish consistent reporting standards and best practices.
  • Coach and mentor analytics developers to strengthen their understanding of business metrics, commercial context, and reporting expectations, with the goal of enabling greater independence over time.
  • Collaborate with cross-functional teams to improve reporting processes, strengthen communication between business and technical functions, and develop scalable documentation and best practices that enhance the long-term capability of the analytics team.

  • Bachelor's degree in Business, Economics, Statistics, Data Analytics, Marketing, or a related field.
  • 4+ years of experience in Business Analytics, Commercial Analytics, Consumer Insights, Market Research, Strategy, or a related analytical role.
  • Experience within Consumer Packaged Goods (CPG), Retail, or a similar commercial environment is strongly preferred.
  • Experience working with syndicated data sources, particularly Nielsen, with the ability to determine the most appropriate data source for different business questions.
  • Strong understanding of retail and commercial performance metrics, including velocity, points of distribution, market share, merchandising, pricing, and related KPIs.
  • Excellent analytical and problem-solving skills, with the ability to validate data, calculations, business logic, and reporting accuracy.
  • Strong communication and interpersonal skills, with the ability to translate business requirements into clear guidance for technical and analytics teams.
  • Experience collaborating with analytics, BI, engineering, or dashboard development teams in a cross-functional environment.
  • Highly organized with exceptional attention to detail and the ability to manage multiple priorities in a fast-paced, evolving environment.
  • Experience with business intelligence platforms such as Power BI, Tableau, or similar reporting tools is advantageous.
  • Technical coding or dashboard development experience is not required; however, the ability to engage credibly with technical teams is essential.

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