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Remote Data Jobs in Newark, NJ (NOW HIRING)

Remote Data Entry & Analysis Associate

Manhattan, NY ยท Remote

$17.75 - $22.75/hr

MaziCTools is seeking a professional to conduct commercial enterprise system evaluations and assist the board with business audits. The ideal candidate should have a four-year degree and at least two ...

Remote Data Entry & Analysis Associate

Manhattan, NY ยท Remote

$17.75 - $22.75/hr

MaziCTools is seeking a professional to conduct commercial enterprise system evaluations and assist the board with business audits. The ideal candidate should have a four-year degree and at least two ...

In this role, the Data Analyst (Remote) will be responsible for ensuring the business makes better decisions through collection and usage of data. Responsibilities: The Data Analyst (Remote) will:

Data Analyst Location: Remote Top Skills: * Python * Tableu * SQL Strong * AWS Job Requirement: * * Need to have experience with Data sets to do: * Gain customer insights (segmentation and ...

Showing results 21-40

Remote Data information

See Newark, NJ salary details

$48.1K

$172.6K

$254.6K

How much do remote data jobs pay per year?

As of Sep 2, 2026, the average yearly pay for remote data in Newark, NJ is $172,563.00, according to ZipRecruiter salary data. Most workers in this role earn between $139,600.00 and $177,800.00 per year, depending on experience, location, and employer.

What are remote data jobs?

Remote data jobs are positions that involve collecting, analyzing, managing, or interpreting data while working from a location outside the traditional office environment. These roles can include data analysts, data scientists, data entry specialists, and database administrators, among others. Remote data professionals use online tools and platforms to access and process data, collaborate with teams, and deliver insights or reports. This flexible work arrangement allows individuals to contribute to data-driven projects from anywhere with an internet connection.

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 background in data science or a related field. Familiarity with data analysis tools such as Python, R, SQL, and platforms like Tableau or Power BI, along with relevant certifications, is typically required. Excellent self-motivation, time management, and communication skills help you stand out in a remote environment. These capabilities are crucial for delivering accurate insights, collaborating effectively from a distance, and meeting business objectives efficiently.

What are some common challenges faced when working as a remote data analyst, and how can they be addressed?

Remote Data Analysts often face challenges such as maintaining effective communication with team members, managing access to secure data, and staying aligned with project goals across different time zones. These can be addressed by leveraging collaboration tools like Slack or Microsoft Teams, following strict data security protocols, and participating in regular virtual meetings to ensure everyone is on the same page. Proactive communication and strong organizational skills are key to thriving in a remote data role.

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

AspectRemote DataRemote Data Analyst
Required CredentialsBachelor's in Data Science, Computer Science, or related field; knowledge of databases and data toolsBachelor's in Data Science, Statistics, or related; proficiency in data analysis tools like Excel, SQL, and visualization software
Work EnvironmentRemote, often independent, with collaboration via online platformsRemote, involves analyzing data sets, creating reports, and communicating findings
Employer & Industry UsageTech companies, finance, healthcare, and e-commerceBusiness, marketing, finance, and tech sectors

Remote Data generally refers to roles focused on managing and processing data, while Remote Data Analyst emphasizes analyzing data to generate insights. Both roles often require similar educational backgrounds and work remotely, but Data Analysts typically focus more on interpreting data and creating reports for decision-making.

Are there actually remote data entry jobs?

Yes, remote data entry jobs are available and involve inputting information into digital systems from a home or remote location. These roles typically require basic computer skills, attention to detail, and often use tools like spreadsheets or data management software. They are commonly offered as part-time or flexible schedules and are suitable for individuals seeking remote work opportunities.

Are there real remote data entry jobs?

Yes, remote data entry jobs are available and involve inputting information into digital systems from home. These roles typically require basic computer skills, attention to detail, and sometimes familiarity with spreadsheet or database software. They are often part-time or flexible positions, suitable for individuals seeking remote work opportunities.

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

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

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

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

Infographic showing various Remote Data job openings in Newark, NJ as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $172,563 per year, or $83 per hour.

Remote Data Governance & Metadata Specialist

Mondo

Manhattan, NY โ€ข Remote

Contractor

This job post hasย expired today.ย Applications are no longer accepted.


Job description

A data solutions company is seeking a Data Governance Analyst to enhance the quality and usability of enterprise data. This remote contract position involves translating technical metadata into business-friendly formats. Ideal candidates will have a Bachelor's degree and 4-6 years in data governance, with strong SQL and Python skills. The role offers opportunities to engage in health insurance and retirement planning while ensuring compliance with data governance frameworks.