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Remote Data Analyst Jobs in Madison, NJ (NOW HIRING)

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Epic Clarity Data Analyst

New York, NY · Remote

Heavily focused on SQL, able to pull data from clarity, creating dashboards within Epic and Power BI, experience working in Snowflake. Required skills: SQL, Clarity Epic Certification, Snowflake

SeatGeek

Senior Data Analyst, Risk Analytics

New York, NY · On-site +1

$108K - $157K/yr

As a Senior Analyst on the Risk Analytics team, you will be the analytical engine behind our fraud ... Build and maintain Python-based analyses, models, and data pipelines that support fraud decisioning ...

YipitData

Head of Data, Private Investor

New York, NY · Remote

YipitData is the leading market research and analytics firm for the disruptive economy and most ... This is a remote-friendly opportunity that can sit in NYC (where our headquarters is located), one ...

Meta

Energy Analyst, Data Center Portfolio

New York, NY · On-site +1

$132K/yr

Energy Analyst, Data Center Portfolio Responsibilities: * Analyze electric tariffs and wholesale market prices to evaluate energy cost implications for new and existing data center sites * Develop ...

Zenlaw

Data Scientist (Remote)

New York, NY · On-site +1

Run data analysis on our dataset to design potential rules for annotation. * Improve the ... Due to the remote nature of this role, we are unable to provide visa sponsorship.

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All JobsData Analyst JobsRemote Data Analyst JobsRemote Data Analyst Jobs in Madison, NJ

Remote Data Analyst information

See Madison, NJ salary details

$35K

$85.2K

$140.2K

How much do remote data analyst jobs pay per year?

As of Sep 2, 2026, the average yearly pay for remote data analyst in Madison, NJ is $85,184.00, according to ZipRecruiter salary data. Most workers in this role earn between $64,400.00 and $100,000.00 per year, depending on experience, location, and employer.

What does a remote data analyst do?

A Remote Data Analyst is responsible for collecting, processing, and analyzing data to help organizations make informed business decisions, all while working from a location outside of a traditional office. They use statistical tools and software to interpret complex datasets, identify trends, and generate reports. Remote Data Analysts collaborate with team members via digital communication platforms and often present their findings to stakeholders to guide strategy and operations. Their work is essential in industries such as finance, healthcare, marketing, and technology, where data-driven decisions are crucial.

What does a remote data analyst do?

Remote data analysts use a range of methods to chart, examine, and analyze data for their clients. Unlike in-house data analysts, remote data analysts, work from home or a different location outside of the office. As a remote data analyst, your job is to evaluate a company’s data using a combination of mathematical inspection, transformation, and modeling techniques to simplify and condense it. Once the analysis is complete, you create reports for management to use to make critical decisions; this is why remote data analysts need to confirm the accuracy of the data. You may also need to present your reports to stakeholders.

What are the key skills and qualifications needed to thrive as a remote data analyst?

To thrive as a Remote Data Analyst, you need strong analytical skills, proficiency in statistics, and a degree in a quantitative field such as mathematics, statistics, or computer science. Familiarity with data analysis tools like SQL, Excel, Python or R, and visualization platforms such as Tableau or Power BI is typically required. Excellent communication, self-motivation, and time management are crucial soft skills for collaborating remotely and presenting insights effectively. These skills ensure accurate data-driven decision-making and effective remote teamwork in a digital work environment.

How do remote data analysts typically collaborate with team members and stakeholders given the virtual work environment?

Remote Data Analysts often rely on digital communication tools such as Slack, Microsoft Teams, and Zoom to stay connected with colleagues and stakeholders. They participate in regular virtual meetings, share dashboards or reports via cloud-based platforms, and provide data-driven insights to support decision-making. Successful remote analysts proactively communicate their findings, clarify requirements, and coordinate with cross-functional teams such as IT, marketing, or finance to ensure alignment on project goals and deliverables.

What is the difference between Remote Data Analyst vs Remote Data Scientist?

AspectRemote Data AnalystRemote Data Scientist
Required CredentialsBachelor's in Data, Statistics, or related field; often certifications in Excel, SQL, or TableauBachelor's or Master's in Data Science, Computer Science, or related; certifications in Python, R, machine learning
Work EnvironmentPrimarily office-based or remote, focusing on data analysis and reportingPrimarily remote, involving complex data modeling and predictive analytics
Employer & Industry UsageUsed across finance, marketing, healthcare, and retail sectorsCommon in tech, finance, and research industries

Remote Data Analysts focus on interpreting data, creating reports, and supporting decision-making, while Remote Data Scientists develop models, perform advanced analytics, and work on predictive insights. Both roles require strong analytical skills, but Data Scientists typically have more technical expertise in programming and machine learning.

Are remote data analyst jobs still in demand?

Remote data analyst jobs remain in high demand due to the increasing reliance on data-driven decision making across industries. Skills in data visualization, SQL, and statistical analysis are particularly valuable, and many companies continue to expand their remote analytics teams to access a broader talent pool.

Can I get remote jobs as a remote data analyst?

Remote data analyst positions are widely available and often require skills in data analysis tools like Excel, SQL, and Python. Many companies offer remote roles with flexible schedules, and candidates typically need a strong analytical background and good communication skills.

Can you work remotely as a remote data analyst?

Remote data analysts can often work from home or other locations, depending on the employer’s policies. Many companies offer remote positions that require skills in data analysis tools like Excel, SQL, or Python, and a reliable internet connection. Availability of remote work varies by organization and role requirements.
More about Remote Data Analyst jobs

What are the most commonly searched types of Data Analyst jobs in Madison, NJ?

The most popular types of Data Analyst jobs in Madison, NJ are:

What job categories do people searching Remote Data Analyst jobs in Madison, NJ look for?

The top searched job categories for Remote Data Analyst jobs in Madison, NJ are:

What cities near Madison, NJ are hiring for Remote Data Analyst jobs?

Cities near Madison, NJ with the most Remote Data Analyst job openings:

Remote Data Analyst jobs near you
Infographic showing various Remote Data Analyst job openings in Madison, NJ as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 14% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $85,184 per year, or $41 per hour.

Data Quality Analyst - Remote

NAVA Software Solutions

Whippany, NJ • On-site, Remote

Full-time

Re-posted yesterday

Job description

NAVA Software solutions is looking for a Data Quality Analyst
Details:
Data Quality Analyst
Location: Remote project
Duration: 6-12 months
Required:
  • Hands on experience with testing in ETL and Data warehouse.
  • Hands on with ETL tools like DBT.
  • Strong SQL skills and strong experience in testing SQL reports, paginated reports, etc.,
  • Must be able to understand stored procs, PL/SQL (Nice to have coding skills).
  • Strong experience in data warehouse concepts and Snowflake or similar databases.
  • Good experience in data analysis, data profiling, preparing test data, etc.,
  • Prior experience working on migration projects.
  • Experience with Power BI and SSRS.
  • Experience with Jira, Scrum, and Kanban.
  • Experience in automation tools like Validator.
  • Experience documenting QA efforts such as acceptance criteria, Source-target mapping, RTM, test plans, test cases, test results, bug reporting, etc.,
  • Experiencing working independently as a full QA resource and adaptability to work in multiple teams at the same time.
  • Rich experience in functional, integration, end to end, regression, performance, and user acceptance testing.
  • Experience in cloud technologies.
  • Experience with XML.
  • Experience with MS Office.
  • Experience in handling health data.

Responsibilities:
  • Review and analyze functional and design specifications documents
  • Identify test requirements from design document and mapping documents
  • Involve in test planning, writing test cases/scripts, creating reusable test data, test case automation, and test execution
  • Develop automation test scenarios and enhance automation test platform
  • Create and facilitate test plans/reviews with team
  • Execute manual and automated test cases
  • Manage UAT
  • Enhance existing Test scripts, identify end-to-end test scenarios
  • Independently create Test Scenarios & Test Cases
  • Use gathered data to analyze test results and trends
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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

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