ZipRecruiter

Log In

2

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

micro1 AI

Cheminformatics Specialist - Remote

Lowell, MA · On-site +1

$90 - $120/hr

Analyze and annotate complex biological data sets, focusing on applications relevant to medicinal chemistry. * Provide feedback and domain-specific insights to improve AI models in computational ...

MatrixSpace

Data Engineer

Burlington, MA · Remote

$145K - $180K/yr

If you're analytical, detail-oriented, and passionate about building robust data systems at scale ... This is NOT a fully remote position! * 4-6 years of experience as a Data Engineer, Backend Engineer ...

Syner-G

Sr. Business Analyst

Framingham, MA · On-site +1

$95K - $122K/yr

Data Integration Platform Development * Document requirements for integration updates and ... We define total rewards as compensation, benefits, remote work/flexibility, development ...

previous pagenext page

Showing results 21-40

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

Remote Data Analyst information

See Groton, MA salary details

$37.2K

$90.5K

$148.9K

How much do remote data analyst jobs pay per year?

As of Aug 10, 2026, the average yearly pay for remote data analyst in Groton, MA is $90,506.00, according to ZipRecruiter salary data. Most workers in this role earn between $68,400.00 and $106,200.00 per year, depending on experience, location, and employer.

Can you work remotely as a remote data analyst?

Remote data analysts can often work from home or any location with internet access, depending on the employer’s policies. Many companies offer remote positions that require skills in data analysis tools like Excel, SQL, or Python, and may involve flexible schedules. However, some roles may require occasional on-site visits or specific time zone availability.

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.

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.

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 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.

Is data analyst still relevant in 2026?

Data analysts remain relevant in 2026 as organizations continue to rely on data-driven decision-making. The role increasingly involves skills in data visualization, SQL, and tools like Python or R, with demand driven by the growth of big data and analytics technologies.

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.

More about Remote Data Analyst jobs
What are the most commonly searched types of Data Analyst jobs in Groton, MA? The most popular types of Data Analyst jobs in Groton, MA are:
What job categories do people searching Remote Data Analyst jobs in Groton, MA look for? The top searched job categories for Remote Data Analyst jobs in Groton, MA are:
What cities near Groton, MA are hiring for Remote Data Analyst jobs? Cities near Groton, MA with the most Remote Data Analyst job openings:
Remote Data Analyst jobs near you
Infographic showing various Remote Data Analyst job openings in Groton, MA as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $90,506 per year, or $43.5 per hour.

Sr. Underwriting Strategy Analyst - Remote Opportunity

GuideOne Insurance

Worcester, MA • Remote

Full-time

Posted 24 days ago

Job description

The Senior Underwriting Strategy Analyst supports the Director of Underwriting Strategy in driving portfolio performance, optimizing underwriting, and advancing strategic initiatives across the underwriting lifecycle. This role blends analytics, underwriting expertise, and cross-functional leadership to improve risk selection, profitability, and operational efficiency.

Accountabilities:

Underwriting Strategy & Portfolio Management

  • Support development and execution of underwriting strategies aligned to growth, profitability, and risk appetite goals
  • Analyze portfolio performance trends (loss ratio, hit rate, retention, pricing adequacy) and recommend actionable improvements
  • Monitor underwriting guidelines and identify opportunities for refinement based on emerging experience and market dynamics
  • Assist in segmentation strategies to optimize risk selection and pricing precision

Data Analysis & Insights

  • Conduct advanced data analysis to identify drivers of loss, profitability, and underwriting performance
  • Develop dashboards, scorecards, and reporting frameworks for leadership visibility
  • Partner with actuarial, data science, and finance teams to evaluate pricing models and assumptions
  • Translate complex data into clear, actionable recommendations for underwriting leadership

Underwriting Governance & Execution

  • Support governance frameworks including referral processes, authority structures, and underwriting controls
  • Perform audits and quality assurance reviews to ensure adherence to underwriting guidelines
  • Identify process gaps and recommend enhancements to improve consistency and decision quality

Cross-Functional Collaboration

  • Partner with Product, Actuarial, Claims, Distribution, and Operations to align strategy and execution
  • Contribute to product development, coverage enhancements, and market positioning initiatives
  • Support field underwriting teams with insights, tools, and strategic guidance

Process Improvement & Transformation

  • Identify and lead initiatives to streamline underwriting workflows and reduce friction
  • Support automation, digitization, and decision-support tool development
  • Drive continuous improvement in underwriting efficiency and scalability

Strategic Projects

  • Lead or support high-impact initiatives such as:
    • New program or segment launches
    • Profitability remediation strategies
    • Expansion into new markets or distribution channels
  • Prepare executive-level presentations and strategic recommendations

Apply