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Remote Data Analysis Jobs in Princeton, NJ (NOW HIRING)

Over the past two years, our team of 3 has become a fully remote team of 30+ Butter Slices, spread ... Experience with end to end data analysis, including data cleaning and preparation, querying ...

Data Analyst

New York, NY · Remote

$55 - $60/hr

This is a remote opportunity. About this Position Join a fast-paced Product Operations team focused ... Strong SQL skills for data extraction and analysis * Experience building dashboards using Tableau ...

Data Analyst

New York, NY · Remote

$55 - $60/hr

This is a remote opportunity. About this Position Join a fast-paced Product Operations team focused ... Strong SQL skills for data extraction and analysis * Experience building dashboards using Tableau ...

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.

Data Privacy Analyst Job Type: Contractor Location: Remote Job Overview We are seeking experienced Data Privacy Analysts to support a data privacy and AI training project focused on protecting ...

Data Analyst I

New York, NY · On-site +1

$21.78 - $30.53/hr

Remote Work - New York, Albany, New York, United States of America, 12224 Opening: Worker Subtype ... Report Maintenance and Data Analysis: * Assemble NDNQI data submission package for nursing ...

Analyze data to drive decision-making on new features of Wdesk * Suggest new product development ... This internship is primarily a remote opportunity. However, if you are located near one of our ...

Analyze data to drive decision-making on new features of Wdesk * Suggest new product development ... This internship is primarily a remote opportunity. However, if you are located near one of our ...

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Remote Data Analysis information

What is remote data analysis?

Remote data analysis refers to the process of examining, interpreting, and drawing insights from data using digital tools, while working from a location outside of a traditional office setting. Professionals in this field utilize statistical software, databases, and visualization tools to analyze large datasets and help organizations make informed decisions. Remote data analysts often collaborate with team members and stakeholders virtually, ensuring that data-driven strategies are implemented effectively. This role requires strong analytical skills, attention to detail, and the ability to communicate findings clearly.

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, statistical knowledge, and a background in fields like mathematics, statistics, or computer science. Proficiency with data analysis tools such as SQL, Python, R, and visualization platforms like Tableau or Power BI is typically required. Excellent communication, self-motivation, and time management help remote analysts present insights clearly and stay productive without direct supervision. These skills and qualities ensure accurate data-driven decisions and effective remote collaboration with stakeholders.

How do remote data analysts typically collaborate with team members and stakeholders?

Remote data analysts often use a combination of communication and project management tools—such as Slack, Microsoft Teams, and Zoom—to stay connected with colleagues and stakeholders. Regular virtual meetings, shared dashboards, and collaborative platforms enable them to discuss findings, gather requirements, and provide updates on ongoing projects. Clear documentation and proactive communication are essential to ensure alignment, especially when working across different time zones or departments. Building strong relationships with team members virtually can help streamline workflows and facilitate effective decision-making.

What is the difference between Remote Data Analysis vs Remote Data Entry?

AspectRemote Data AnalysisRemote Data Entry
Required SkillsData interpretation, statistical tools, analytical skillsTyping speed, accuracy, basic computer skills
Tools UsedExcel, SQL, data visualization softwareSpreadsheets, data entry platforms
Work EnvironmentAnalytical tasks, report creation, data insightsData input, database updating, record management
Common CertificationsData analysis certifications, Excel proficiencyNone typically required

Remote Data Analysis involves interpreting data, creating reports, and providing insights using analytical tools, while Remote Data Entry focuses on inputting and managing data accurately. Both roles are performed remotely and require computer skills, but Data Analysis demands analytical expertise and familiarity with data tools, whereas Data Entry emphasizes speed and accuracy in data input tasks.

Can I get a remote job as a remote data analyst?

Remote data analyst positions are widely available and often require skills in data visualization, statistical analysis, and proficiency with tools like Excel, SQL, or Python. Many companies offer remote roles with flexible schedules, and a strong portfolio or certification can improve job prospects.

Is data analysis a good career for remote work?

Data analysis is well-suited for remote work because it primarily involves computer-based tasks such as working with datasets, using tools like Excel, SQL, and Python, and communicating insights through reports. Many companies offer remote data analyst positions, and strong skills in data visualization and self-management are important for success in a remote environment.

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

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

What are popular job titles related to Remote Data Analysis jobs in Princeton, NJ?

For Remote Data Analysis jobs in Princeton, NJ, the most frequently searched job titles are:

What job categories do people searching Remote Data Analysis jobs in Princeton, NJ look for?

The top searched job categories for Remote Data Analysis jobs in Princeton, NJ are:

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

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

Infographic showing various Remote Data Analysis job openings in Princeton, NJ as of August 2026, with employment types broken down into 1% As Needed, 77% Full Time, 20% Part Time, and 2% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution.

Data Product Manager / Business Analyst - REMOTE

CGS Business Solutions

Trenton, NJ • Remote

Full-time, Contractor

Posted 5 days ago


Job description

CGS Business Solutions is committed to helping you, as an esteemed IT Professional, find the next right step in your career. We match professionals like you to rewarding consulting or full-time opportunities in your area of expertise. We are currently seeking Technical Professionals who are searching for challenging and rewarding jobs for the following opportunity:

Position Summary

CGS is hiring for one of our long time national Financial Services customer who is seeking a hands on REMOTE Data Product Manager / Business Analyst to support the Director of Enterprise Data in delivering the enterprise data roadmap. This is an individual contributor role that combines product management, business analysis, and project management. You will run intake and prioritization, gather and document requirements, manage the Jira backlog, coordinate sprints, and work day to day with data engineers, BI developers, and business stakeholders to move work from idea to delivery. You will also own documentation for data products, including data dictionaries, source-to-target mappings, process flows, and release notes. This is a U.S.-based contract position. Candidates must be authorized to work in the United States and be available during U.S. business hours.

Location: Remote, USA (EST preferred)

Key Responsibilities

  • Partner with the Director of Enterprise Data to plan, prioritize, and track the enterprise data and analytics roadmap.
  • Run intake for new data, reporting, and integration requests; assess scope, business value, dependencies, and level of effort.
  • Gather and document business requirements and translate them into epics, user stories, and clear acceptance criteria.
  • Own and maintain the Jira backlog: create and groom tickets, manage sprints and boards, track status, and keep work items current and accurate.
  • Facilitate agile ceremonies including backlog refinement, sprint planning, daily standups, demos, and retrospectives.
  • Work directly with data engineers, BI developers, and architects to clarify requirements, unblock issues, and validate delivered work.
  • Create and maintain documentation such as data dictionaries, source-to-target mappings, data flow diagrams, process flows, runbooks, and release notes in Confluence or SharePoint.
  • Support UAT: build test scenarios, coordinate business testing, track defects, and confirm data accuracy before release.
  • Track project timelines, milestones, risks, and dependencies, and provide clear status updates to leadership and stakeholders.
  • Analyze data to answer business questions, validate assumptions, and support requirement decisions using SQL and BI tools.
  • Coordinate across IT, Operations, Finance, Sales, Marketing, and Compliance to align on data definitions, KPIs, and reporting needs.
  • Help define and enforce data governance practices, including data quality standards, ownership, and change management.

    Qualifications

  • Bachelor's degree in Business, Information Systems, Computer Science, Analytics, or a related field.
  • 5+ years of experience as a Business Analyst, Product Owner, Product Manager, or Technical Project Manager supporting data, analytics, or BI teams.
  • Strong hands-on experience administering and managing work in Jira, including boards, workflows, sprints, and reporting.
  • Proven ability to write clear requirements, user stories, and acceptance criteria for data and reporting work.
  • Working SQL skills, with the ability to profile data, validate results, and understand data models independently.
  • Experience with data warehousing and BI concepts such as ETL, data pipelines, dimensional modeling, and dashboard delivery.
  • Strong documentation skills, including process flows, data dictionaries, and source-to-target mappings.
  • Experience working in Agile/Scrum environments alongside developers and engineers.
  • Excellent communication skills, with the ability to translate between business stakeholders and technical teams.
  • U.S.-based contractor authorized to work in the United States.

    Preferred / Nice to Have:

  • Mortgage, lending, banking, or financial services experience, especially loan origination or servicing data.
  • Experience with the Microsoft data stack: Azure Data Factory, Azure Synapse, SQL Server, and Power BI.
  • Experience with Tableau, Salesforce data, or enterprise system integrations and APIs.
  • Experience with Confluence, Azure DevOps, or similar documentation and delivery tools.
  • Familiarity with data governance, data quality, and data cataloging tools such as Azure Purview.
  • Exposure to automation tools such as Power Automate or Logic Apps.

    Soft Skills

  • Organized and detail-oriented, comfortable managing multiple workstreams at once.
  • Proactive and self-directed, able to move work forward with limited hand-holding.
  • Strong facilitator who can keep meetings focused and drive decisions.
  • Collaborative team player who works well with both technical and business partners.

About CGS Business Solutions:
CGS specializes in IT business solutions, staffing and consulting services. With a strong focus in IT Applications, Network Infrastructure, Information Security, and Engineering. CGS is an INC 5000 company and is honored to be selected as one of the Best IT Recruitment Firms in California. After five consecutive Fastest Growing Company titles, CGS continues to break into new markets across the USA. Companies are counting on CGS to attract and help retain these resource pools in order to gain a competitive advantage the rapidly changing business environments.