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Remote Data Analyst Jobs in Needham, MA (NOW HIRING)

Digital Links Inc

Data Analyst

Canton, MA · Remote

Canton, MA - 100% Remote Position Overview Hiring for experienced Data Analyst to support complex data, analytics, and information-management initiatives within the healthcare payer domain. The ...

MM International

Investment Data Analyst

Boston, MA · Remote

Boston, MA (Remote for good candidate but No PST candidates) Duration: 6+ months Contract Video Interview Note: Looking for a Sr. candidate with strong financial background, should have experience ...

Mass General Brigham

Trauma data Analyst

Salem, MA · On-site +1

$17.71 - $25.28/hr

No Licenses and Credentials Experience related experience 2-3 years in Trauma Analyst Data required ... Hearing Constantly (67-100%) Remote Type Remote Work Location 3 Dove Ave Scheduled Weekly Hours 36 ...

LinkSquares, Inc.

Senior GTM Data Analyst

Boston, MA · On-site +1

$93K - $117K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

As the Senior GTM Data Analyst , you will shape how we understand and optimize our growth engine by owning the analytical truth layer across the entire revenue organization. In this high-impact role ...

New

DRC Systems

Technical Lead - Data Analysis

Boston, MA · Remote

$50 - $54/hr

Title - Technical Lead - Data Analysis Location - Boston, MA - Remote JD - Key Skills * Advanced SQL & Data Modeling - Proven ability to design robust data models, write complex SQL, and build ...

Meta

Energy Analyst, Data Center Portfolio

Boston, MA · 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 ...

New

Initio Capital

Data Governance Analyst

Boston, MA · Remote

This is a remote, flexible role for candidates who are analytical, commercially curious, and ... Analyze data, documents, websites, interviews, and public information to form concise ...

IQVIA

Senior Data Quality Analyst

Burlington, MA · On-site +1

  • Medical

  • Life

Position Summary As a Senior Data Quality Analyst at Cedar Gate Technologies, an IQVIA business ... Job Location Burlington, MA (Boston) Work Arrangement Hybrid (3 days in office, 2 remote) Roles ...

IQVIA

Senior Data Quality Analyst

Burlington, MA · On-site +1

  • Medical

  • Life

Position Summary As a Senior Data Quality Analyst at Cedar Gate Technologies, an IQVIA business ... Job Location Burlington, MA (Boston) Work Arrangement Hybrid (3 days in office, 2 remote) Roles ...

Gradient AI

Senior Health Data Consultant

Boston, MA · On-site +1

$120K - $160K/yr

This is a remote role. Gradient AI: Gradient AI is revolutionizing Group Health and P&C insurance ... This is a client-facing, analytics-driven role focused on pricing consultations, AI model adoption ...

YO AI Labs

AI Data Scientist Expert - Remote

Boston, MA · Remote

$100 - $200/hr

Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their ... No prior AI experience is required--your data science expertise, analytical thinking, and ...

YO AI Labs

AI Data Scientist Expert - Remote

Boston, MA · Remote

$100 - $200/hr

Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their ... No prior AI experience is required--your data science expertise, analytical thinking, and ...

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All JobsData Analyst JobsRemote Data Analyst JobsRemote Data Analyst Jobs in Needham, MA

Remote Data Analyst information

See Needham, MA salary details

$37K

$90K

$148.2K

How much do remote data analyst jobs pay per year?

As of Aug 19, 2026, the average yearly pay for remote data analyst in Needham, MA is $90,025.00, according to ZipRecruiter salary data. Most workers in this role earn between $68,100.00 and $105,700.00 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 Needham, MA?

The most popular types of Data Analyst jobs in Needham, MA are:

What job categories do people searching Remote Data Analyst jobs in Needham, MA look for?

The top searched job categories for Remote Data Analyst jobs in Needham, MA are:

What cities near Needham, MA are hiring for Remote Data Analyst jobs?

Cities near Needham, MA with the most Remote Data Analyst job openings:

Remote Data Analyst jobs near you
Infographic showing various Remote Data Analyst job openings in Needham, MA as of August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 9% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $90,025 per year, or $43.3 per hour.

Data Analyst

Digital Links Inc

Canton, MA • Remote

Contractor

Posted 16 days ago

Job description

Role: Data Analyst (Health care Domain)
Location: Canton, MA – 100% Remote

Position Overview

Hiring for experienced Data Analyst to support complex data, analytics, and information-management initiatives within the healthcare payer domain.

The selected candidate will partner with business and technical teams to develop scalable analytical solutions, improve data quality, create technical documentation, support testing activities, troubleshoot production issues, and provide actionable business insights using SQL, ETL, and data-management technologies.

Key Responsibilities

  • Partner with business stakeholders and technical teams to understand data and reporting requirements.
  • Perform functional analysis, gap analysis, and business-requirements definition.
  • Analyze complex healthcare payer data and provide meaningful business insights.
  • Develop and optimize advanced SQL and PL/SQL queries.
  • Support ETL processes, data integrations, and data-engineering initiatives.
  • Create technical specifications, data mappings, process documentation, and solution-design documents.
  • Develop test cases, test plans, and validation strategies.
  • Perform data validation, quality assurance, and defect analysis.
  • Investigate and troubleshoot production data and reporting issues.
  • Identify data-quality issues and recommend corrective actions.
  • Collaborate with developers, QA teams, business analysts, and project stakeholders.
  • Support analytical reporting using SAS, Excel, and related tools.

Required Qualifications

  • Bachelor’s degree in Information Systems, Computer Science, Healthcare Informatics, or a related field.
  • 7+ years of data-analysis experience within a healthcare payer environment.
  • Strong healthcare insurance or payer-domain experience.
  • Advanced hands-on experience with SQL, PL/SQL, and Oracle.
  • 5+ years of hands-on ETL and data-engineering experience.
  • 5+ years of Teradata experience.
  • 7+ years of experience with:
    • Functional analysis
    • Gap analysis
    • Business-requirements definition
  • Experience creating:
    • Technical specifications
    • Test cases
    • Test plans
    • Data and process documentation
  • Strong data-quality, QA, troubleshooting, and problem-solving skills.
  • Strong written and verbal communication skills.
  • Ability to collaborate effectively with business and technical stakeholders.

Preferred Qualifications

  • SAS experience.
  • Advanced Microsoft Excel experience, including Pivot Tables.
  • Experience developing analytical and operational reports.
  • Experience supporting healthcare payer data, claims, membership, provider, enrollment, or related datasets.