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

This full-time, remote position allows you to leverage your expertise in the health and fitness ... As an Oncology Data Specialist, you will play a crucial role in managing and analyzing oncology ...

... remote position. Based in Northborough, this role plays a crucial part in harnessing data to ... As an Oncology Data Specialist, you will be responsible for analyzing complex datasets, managing ...

Responsibilities may include remote data analysis, desktop engineering review, savings calculations, measure validation, economic analysis, incentive review, field investigation, and documentation of ...

Responsibilities may include remote data analysis, desktop engineering review, savings calculations, measure validation, economic analysis, incentive review, field investigation, and documentation of ...

Sr Manager, Data Science

Woonsocket, RI · On-site +1

$140K - $260K/yr

Counsels the team in data exploration, analysis, and modeling techniques to derive actionable ... Hybrid position: remote work permitted but must live within commuting distance of designated office ...

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Remote Data Analyst information

See Worcester, MA salary details

$33.9K

$82.3K

$135.5K

How much do remote data analyst jobs pay per year?

As of Aug 23, 2026, the average yearly pay for remote data analyst in Worcester, MA is $82,343.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,300.00 and $96,600.00 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.

What are the most commonly searched types of Data Analyst jobs in Worcester, MA?

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

What are popular job titles related to Remote Data Analyst jobs in Worcester, MA?

For Remote Data Analyst jobs in Worcester, MA, the most frequently searched job titles are:

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

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

Infographic showing various Remote Data Analyst job openings in Worcester, MA as of August 2026, with employment types broken down into 50% Full Time, 17% Part Time, and 33% Contract. Highlights an 100% Remote job distribution, with an average salary of $82,343 per year, or $39.6 per hour.

Claims Insights - Sr Data Analyst (Worcester, MA or Remote)

thg

Worcester, MA • On-site, Remote

Full-time

Posted 3 days ago

New


Job description

Our Claims Insights team is currently seeking a Senior Data Analyst in our Worcester, MA location or remote work location.  This is a full-time, exempt role.

POSITION OVERVIEW:

The Sr. Data Analyst will use claims data to provide insight into business performance.  Responsibilities will include analyzing variances in loss results compared to plan, identifying and communicating potential areas for improvement within Claims or other functions, and building out reporting analytics to provide quicker and more comprehensive insights.  Analysis may span any segment or line of business across the company.

IN THIS ROLE, YOU WILL:

  • Analyze claims data and effectively communicate conclusions in writing and verbally to internal partners (claims, actuarial, finance, state management, underwriting, etc.)  Draw insights and observations from detailed and multifaceted claims data and reports.  Present findings to senior leaders.
  • Respond to urgent/timely requests and produce routine and ad hoc information in a rapid and dynamic turnaround climate.
  • Lead the development or enhancement of complex reports and tools for multiple lines of business.  Work independently and leverages resources when needed.
  • Quantify the impacts of internal operational changes and external trends on frequency, severity, and overall loss results.
  • Develop industry knowledge and internal data expertise to provide solutions to complex business questions.  Tuned into external industry trends and best practices.
  • Work in partnership with the team and management to generate innovative solutions by approaching problems with curiosity and open-mindedness, using existing information to its fullest potential.

WHAT YOU NEED TO APPLY:

  • Bachelor's degree or higher in a relevant technical field (math, finance, actuarial science, or analytics preferred).
  • 4-6+ years of related analytical and property & casualty industry experience preferred (e.g. actuarial, business analytics, or finance).
  • Demonstrated problem-solving skills and ability to perform exploratory data analysis.
  • Expert knowledge of Excel and intermediate knowledge of SQL; ability to efficiently work with large and complex data sets.
  • Comfortable turning raw data into meaningful information; ability to summarize complex business concepts into written and oral communications (including the use of PowerPoint).
  • Comprehends key industry financial/operational metrics.
  • Strong organization, project, and time management skills; ability to multi-task and meet all deadlines with quality product.  

KEY COMPETENCIES:

  • Thoroughness: Demonstrates careful attention to detail. Keeps tasks and responsibilities clearly defined, on schedule, and error-free. Carries tasks, assignments, etc., through to completion.
  • Information Seeking: Thoroughly investigates and researches multiple sources to expose details and complete information about resources, issues, problems, and so forth. Conducts in-depth research, asks probing questions, and transcends surface issues.
  • Conceptual Thinking: Synthesizes facts, trends, inferences, and key issues and/or themes in complex situations. Recognizes patterns and relationships between apparently unrelated entities or situations.
  • Communication: Ability to effectively communicate complex information effectively in written and oral form. Tells a story with data so that audience can see clear action.
  • Relationship Building: Understands the importance of developing and maintaining positive, collaborative relationships with others at all levels of the organization in order to accomplish organizational goals.
  • Results Oriented: Has a pro-active, inquisitive attitude. Excited by challenging goals and a desire to exceed standards of excellence. Exceeding the standard can include challenging personal goals, organization's standards, or current industry standards.

 PHYSICAL DEMANDS and WORK ENVIRONMENT:

  • Ability to use a personal computer and other standard office equipment
  • Ability to work in a fast paced or stressful environment
  • Ability to travel as necessary
  • Ability to sit and/or stand for extended periods

This job posting provides cursory examples of some of the job duties associated with this position.  The examples provided are not complete, and the position may entail other essential and job-related functions and responsibilities that employees will be required to perform.