2

Remote Analytics Engineer Jobs in New York (NOW HIRING)

Develop ad-hoc analytics and reporting based on analysis of existing data sources, utilizing a ... Engineering and Data Visualization related work * Associate's and/or Bachelor's Degree * Well ...

Medical Analytics Data Engineer

New York, NY ยท On-site +1

$124K - $207K/yr

Lead the evaluation, implementation and deployment of emerging tools and analytic data engineering ... Remote * Eligible for Relocation Package: No #LI-PFE The annual base salary for this position ...

New

IOS Developer (Remote)

Edison, NJ ยท On-site +1

$53.50 - $73.75/hr

IOS Developer Location: Remote project Duration: 12 months Description: Front End - Presentation ... Minimum 5 years of experience in Analysis , Design and Coding * Minimum 3 years of experience in ...

Blockchain, Data Analytics (Remote)

New York, NY ยท On-site +1

$80K - $150K/yr

Advanced SQL skills and high proficiency in Python for both data analysis and engineering ... Remote Work Environment * Maternity/Paternity Leave $80,000 - $150,000 a year The salary range for ...

Blockchain, Data Analytics (Remote)

New York, NY ยท On-site +1

$80K - $150K/yr

Advanced SQL skills and high proficiency in Python for both data analysis and engineering ... Remote Work Environment * Maternity/Paternity Leave $80,000 - $150,000 a year The salary range for ...

Sr. Platform Engineer (Remote - US)

Manhattan, NY ยท On-site +1

$115K - $157K/yr

... reports to the Platform Engineering Manager. This position is full-time and fully remote ... Own and improve incident response frameworks, root cause analysis processes, and post-incident ...

Showing results 41-60

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 Aug 8, 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 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 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.

Can you work remotely in data analytics?

Remote analytics engineers can work from anywhere with a reliable internet connection, as many data analysis tasks involve using cloud-based tools and programming languages like Python or SQL. Employers increasingly offer remote positions, especially for roles that focus on data modeling, visualization, and reporting, often requiring strong communication skills and familiarity with collaboration platforms.
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 cities in New York are hiring for Remote Analytics Engineer jobs? Cities in New York with the most Remote Analytics Engineer job openings:
Infographic showing various Remote Analytics Engineer job openings in New York as of August 2026, with employment types broken down into 84% Full Time, 8% Part Time, and 8% Contract. Highlights an 100% Remote job distribution, with an average salary of $101,941 per year, or $49 per hour.

Data Engineer - Remote

NAVA Software Solutions

Manhattan, NY โ€ข On-site, Remote

$126K - $151K/yr

Full-time

Re-posted 6 days ago


Job description

NAVA Software solutions is looking for a Data Engineer
Details:
Data Engineer
Location: Remote Project
Duration: 6-12 months
Responsibilities:
  • Analysis, design, coding, performance tuning, and implementation of new data warehousing solutions.
  • Evaluation, maintenance, and enhancement of existing ETL processes.
  • Creation of BI dashboards and workbooks using Power BI and Excel.
  • Code data ingest solutions (Python, Databrick Notebooks, NodeJS) leveraging 3rd party APIs.
  • Daily triage of bugs and tasks.
  • Create documentation for applications and processes.
  • Enforce best practices in all aspects of work and evaluate new data warehousing platforms and solutions.

Required
  • 5+ years' experience in a data warehouse team environment.
  • Strong data warehousing experience with Azure, Databricks, and Snowflake.
  • Demonstrated strength with querying Snowflake and other DBs with T-SQL for database queries, procedures, tables, views, etc.
  • Advanced level of experience with Microsoft SQL Server, Azure, and SSMS (Management Studio)
  • Hands-on experience with SSIS, Azure Data Factory, Azure Databricks, and Snowflake
  • Proven skills with data visualization tools: Microsoft Excel (PowerPivot, Pivot Tables, Slicers)
  • Experience with storage devices and connectivity tools such as AWS development tools
  • A basic understanding of HTML, CSS, and web page deployment.
  • Excellent written and verbal skills and the ability to present to upper management.
  • A good understanding of basketball.

Desired
  • Experience working with DBT and/or FiveTran
  • PowerBI experience

NAVA Software Solutions logo

About NAVA Software Solutions

Sourced by ZipRecruiter

NAVA is a strategic partner for companies seeking to develop or customize software and products. Our team of experts leverages cutting-edge technology and deep industry knowledge to provide customized solutions that drive business success. Whether you're looking to improve your operations, increase efficiency, or bring a new product to market, NAVA has the expertise and resources to help you achieve your goals. Trust us to be your partner in software and product development.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Rocky Hill, CT, US

Social media