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

Location: Remote / Hybrid -- New York Type: Full-Time Job Summary We are seeking a Data Analyst / Analytics Product Analyst with strong experience in SQL, Python, data validation, and analytics ...

Senior Product Data Analyst

Manhattan, NY · On-site +1

$94K - $119K/yr

Description VAST Data is looking for a Senior Product Data Analyst to join our growing team! This is a great opportunity to be part of one of the fastest-growing infrastructure companies in history ...

This is a Temporary remote full-time role at Claritev*** At Claritev, we pride ourselves on being a dynamic team of innovative professionals. Our purpose is simple - we strive to bend the cost curve ...

The Clinical Data Analyst (CDA) is a mid-level individual contributor role that supports the Data Sciences department in identifying requirements and building solutions towards enhancing clinical ...

Senior Data Analyst

Jersey City, NJ · On-site +1

$80K - $153K/yr

Senior Data Analyst The Role We have an outstanding technology opportunity in the Core & Common Data Products and Solutions Technology Team (formerly UCP) that is building a 360-degree view of the ...

Product Data Analyst

New York, NY · Remote

$145K - $175K/yr

Our data engineering team owns the pipelines; you'll focus on the analysis, the recommendation, and ... Experience building metrics frameworks or KPI hierarchies from scratch How we work Fully remote ...

Lead Data Analyst - R01565187

New York, NY · On-site +1

$125K - $130K/yr

Data Analyst Job Duties and Requirements: Lead Data Analyst needed in New York, NY and various unanticipated locations throughout the U.S. Utilize the power of solutions that can be driven through ...

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Remote Data Analyst information

See Ridgewood, NJ salary details

$34.4K

$83.6K

$137.6K

How much do remote data analyst jobs pay per year?

As of Jun 11, 2026, the average yearly pay for remote data analyst in Ridgewood, NJ is $83,614.00, according to ZipRecruiter salary data. Most workers in this role earn between $63,200.00 and $98,100.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Remote Data Analyst, and why are they important?

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.

Can I do a data analyst job remotely?

Yes, many data analyst positions are available as remote jobs, allowing professionals to work from anywhere with a computer and internet connection. Remote data analysts often use tools like Excel, SQL, and data visualization software, and strong communication skills are important for remote collaboration.

Is 40 too late for data science?

For a remote data analyst role, age is generally not a barrier; many professionals transition into data science or analytics later in their careers. Success depends on acquiring relevant skills such as programming, statistics, and tools like SQL or Python, regardless of age. Continuous learning and building a strong portfolio can help late entrants compete effectively in the field.

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.

Is AI replacing data analysts?

AI tools are automating certain data processing tasks, but data analysts are still essential for interpreting complex data, making strategic decisions, and providing context. The role of a remote data analyst involves skills in data visualization, statistical analysis, and tools like SQL and Python, which complement AI capabilities rather than being replaced by them.

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 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.

What jobs pay 200,000 a year in the USA?

Remote Data Analysts typically do not reach $200,000 annually, but senior data analyst roles with extensive experience, advanced skills in SQL, Python, or R, and industry certifications can approach or exceed this level. High-paying data-related roles often involve leadership, specialized expertise, or working in industries like finance or technology. Executive or specialized data science positions are more likely to offer salaries at or above this threshold.

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 most commonly searched types of Data Analyst jobs in Ridgewood, NJ? The most popular types of Data Analyst jobs in Ridgewood, NJ are:
What job categories do people searching Remote Data Analyst jobs in Ridgewood, NJ look for? The top searched job categories for Remote Data Analyst jobs in Ridgewood, NJ are:
What cities near Ridgewood, NJ are hiring for Remote Data Analyst jobs? Cities near Ridgewood, NJ with the most Remote Data Analyst job openings:
Data Product Analyst

Data Product Analyst

Acunor Infotech

Manhattan, NY • On-site, Remote

Other

Posted 5 days ago


Job description

Location: Remote / Hybrid -- New York
Type: Full-Time

Job Summary

We are seeking a Data Analyst / Analytics Product Analyst with strong experience in SQL, Python, data validation, and analytics product support. The role focuses on analytics delivery, QA/UAT validation, stakeholder collaboration, and supporting scalable analytical solutions.

Must-Have Skills
  • Strong SQL skills with working knowledge of Python
  • Experience with QA/UAT and data validation workflows
  • Experience validating datasets, dashboards, and data pipelines
  • Strong understanding of data modeling and analytical data structures
  • Experience with analytics reporting and business analysis
  • Strong stakeholder communication and cross-functional collaboration skills
  • Ability to troubleshoot data quality and deployment issues
Key Responsibilities
  • Own analytics datasets and dashboards from requirements through delivery
  • Perform QA, UAT, and data validation for analytical products
  • Define test cases, validation logic, and acceptance criteria
  • Analyze datasets using SQL and Python
  • Support audience segmentation, campaign analytics, and experimentation
  • Collaborate with business, analytics, and engineering teams
  • Troubleshoot data quality issues and support deployment validation
  • Maintain documentation for data products and business logic
Nice to Have
  • Experience with Marketing Analytics / Customer Analytics
  • Exposure to Cloud Data Platforms
  • Product ownership or analytics product management experience
  • Experience working with consumer/customer data

Acunor logo

About Acunor

Sourced by ZipRecruiter

Acunor provides high quality digital engineers in the field of Java Full Stack Programming, Pega, Appian, Power BI, Salesforce, DevOps, No-Code & Low-Code, Data Science, Analytics, Data Base and Cloud Native solutions. ​We specialize in providing Java Full Stack Engineers, BPM (Pega, Appian) Consultants, Salesforce Consultants, AWS/Azure/GCP Engineers, Data Scientists, Technical PMs, Program and Engagement Managers. ​Management comprises of highly experienced and seasoned technology executives with vast expertise in Large Scale Development Projects, Cloud Native Solutions and Managed Services.

Industry

It services

Company size

11 - 50 Employees

Headquarters location

Princeton, NJ, US

Year founded

2016

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