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

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 ...

Required Qualifications * 5+ years of experience working with insurance bordereaux (BDX) reporting, premium reporting, or insurance data analysis. * Strong understanding of MGA, Program, P&C, or ...

Description The Principal Data Analyst will serve as the Capital Markets Data & Analytics lead for ... Hybrid: 4 days per week on-site, 1 day remote Pay Transparency The salary range for this position ...

Description The Principal Data Analyst will serve as the Capital Markets Data & Analytics lead for ... Hybrid: 4 days per week on-site, 1 day remote Pay Transparency The salary range for this position ...

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 ...

Senior Data Analyst (NYC Hybrid)

New York, NY · Remote

$88K - $111K/yr

Act as a healthcare data SME on a rapidly growing Data & Analytics team. * Design, develop, and ... We are a tech-enabled remote healthcare company. We value the impact and significance of all team ...

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Showing results 1-20

Remote Data Analyst information

See Rutherford, NJ salary details

$34.7K

$84.2K

$138.6K

How much do remote data analyst jobs pay per year?

As of Jul 1, 2026, the average yearly pay for remote data analyst in Rutherford, NJ is $84,246.00, according to ZipRecruiter salary data. Most workers in this role earn between $63,700.00 and $98,900.00 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 Rutherford, NJ? The most popular types of Data Analyst jobs in Rutherford, NJ are:
What job categories do people searching Remote Data Analyst jobs in Rutherford, NJ look for? The top searched job categories for Remote Data Analyst jobs in Rutherford, NJ are:
What cities near Rutherford, NJ are hiring for Remote Data Analyst jobs? Cities near Rutherford, NJ with the most Remote Data Analyst job openings:
Infographic showing various Remote Data Analyst job openings in Rutherford, NJ as of June 2026, with employment types broken down into 53% Full Time, 37% Part Time, and 10% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $84,246 per year, or $40.5 per hour.
Senior Product Data Analyst

Senior Product Data Analyst

VAST Data

Manhattan, NY • On-site, Remote

$94K - $119K/yr

Full-time

Posted 16 days ago


Job description

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, an organization that is in the center of the hurricane being created by the revolution in artificial intelligence.
"VAST's data management vision is the future of the market." - Forbes
VAST Data is the data platform company for the AI era. We are building the enterprise software infrastructure to capture, catalog, refine, enrich, and protect massive datasets and make them available for real-time data analysis and AI training and inference. Designed from the ground up to make AI simple to deploy and manage, VAST takes the cost and complexity out of deploying enterprise and AI infrastructure across data center, edge, and cloud.
Our success has been built through intense innovation, a customer-first mentality and a team of fearless VASTronauts who leverage their skills & experiences to make real market impact. This is an opportunity to be a key contributor at a pivotal time in our company's growth and at a pivotal point in computing history.
Overview:
VAST is seeking a Senior Product Data Analyst to join our growing analytics team. The analyst will provide strategic recommendations (not just data findings) that directly influence business decisions and company strategy. The role will partner closely with business stakeholders across business functions (Engineering, Finance, Customer Success, Product Management) to uncover insights about VAST AI Operating System product usage and customer behavior and then translate those insights and actionable recommendations that drive measurable impact.
With a focus on product usage analytics of the VAST AI Operating System, the ideal candidate has a deep understanding of subscription lifecycle and specific metrics that drive SaaS growth. The analyst will define, influence, and maintain core product KPIs that inform feature adoption, user engagement, retention, and business value. This role will collaborate with stakeholders in R&D, Finance, and Customer Success to build analytics that inform decision making, increase return on investment, and improve business outcomes. The Senior Product Data Analyst will manage multiple stakeholders and present to executive and non-technical leaders.
As a Senior Product Data Analyst, this position will play a key role in transforming SaaS product usage data into analytics that inform product roadmap, enable customer success, and drive lifetime value. The analyst will lead large, complex analytics and reporting projects, delivering accurate, accessible, and repeatable business reporting linked to strategic business outcomes for the VAST AI Operating System. The Analyst will also support business partners in product management with cloud cost modeling and TCO analysis.
The role will be responsible for both building data models behind product metrics, using SQL, and creating visually compelling dashboards in Tableau. Additional responsibilities include competitive benchmarking and service level analysis across cloud reliability, durability, availability, and performance. We are seeking an analyst that can tell stories with data and deliver actionable recommendations that our stakeholders regularly use to make change within their organizations.
Essential Duties and Responsibilities
  • Strategic Leadership: Translates high-level business problems and questions into specific, measurable analytics, metrics, and visualizations
  • Project Ownership: Leads analytical projects end-to-end with minimal supervision, including defining scope, methodology, execution, and delivery
  • Mentorship: Provide guidance and analytical support to junior analysts. Conduct peer review of code, analysis, and reports to ensure accuracy and quality
  • Data Extraction: Applies advanced SQL skills to extract and transform data, ensuring data integrity and accuracy for reporting and analysis purposes
  • Strategic Analysis: Design, implement, and maintain metrics, moving beyond basic reporting to establish predictive performance indicators
  • Data Visualization: Design, build, and maintain high-impact Tableau dashboards that provide real-time visibility into user behavior and product adoption
  • Data Management: Collaborate with engineers to validate data pipelines, understand model outputs, and improve data integrity
  • Stakeholder Management: Act as a primary liaison between the analytics team and business function for all requests related to product data and analytics

Requirements
  • Education: Masters degree in Business, Business Analytics Operations Management, Computer Science, Data Science or a related field preferred
  • Experience: 5+ years of experience as a Data Analyst with at least 2 years focused specifically on SaaS product analytics. Familiarity with SaaS financial metrics
  • Programming Languages: Proven expertise in advanced SQL for data extraction and manipulation is required. Experience with Python is a plus
  • Visualization Tools: Expert in Tableau for dashboard creation, data visualization, and data storytelling is required
  • Analytical Skills: Proven analytical, problem-solving, and critical thinking skills
  • Domain Expertise: Knowledge with SaaS product (cloud) data sources and processes required
  • Travel: Minimal travel required (approximately 10% or less annually)

Qualifications
  • A relentless drive and a customer-first mentality are essential.
  • An attention to detail that ensures accuracy and reliability in findings that leads to trust and credibility with stakeholders.
  • The ability to break down complex problems, identify patterns, and derive meaningful insights from data.
  • Intellectual curiosity with a natural desire to explore data and ask questions that lead to deeper insights.
  • The ability to convey complex data insights clearly and effectively to both technical and non-technical stakeholders.
  • Ability to manage multiple projects and deadlines with prioritizing tasks.
  • Ability to thrive in a culture of transparency and direct feedback.