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

Deloitte

RCM Training and Quality Analyst

Hartford, CT · On-site +1

Experience analyzing billing workflows, claim issues, or operational data For individuals assigned and/or hired to work in a remote role, Deloitte is required by law to include a reasonable estimate ...

Workiva

Spring 2027 Intern - Sales Analyst

Hartford, CT · On-site +1

$21/hr

You will assist with sales data analysis, contract renewal engagement, revenue retention support ... This internship is primarily a remote opportunity. However, if you are located near one of our ...

FAVARH

Senior Data Product Owner

Hartford, CT · On-site +1

Remote or hybrid work arrangement in accordance with Voya's flexible workplace guidelines. The ... Measure product and solution success through analytics and performance insights. * Translate ...

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

Remote Data Analyst information

See Springfield, MA salary details

$33.1K

$80.4K

$132.4K

How much do remote data analyst jobs pay per year?

As of Sep 14, 2026, the average yearly pay for remote data analyst in Springfield, MA is $80,432.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,800.00 and $94,400.00 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 Springfield, MA?

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

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

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

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

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

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

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

Remote Data Analyst jobs near you
Infographic showing various Remote Data Analyst job openings in Springfield, MA as of September 2026, with employment types broken down into 76% Full Time, 14% Part Time, and 10% Contract. Highlights an 5% Hybrid, and 95% Remote job distribution, with an average salary of $80,432 per year, or $38.7 per hour.

Technical Assistant II (UMATC)

Amherst, MA • On-site, Remote

University of Massachusetts Amherst
Colleges, Universities, and Professional Schools • 10K+ employees
Learn more about University of Massachusetts Amherstexternal

$36K - $43K/yr

Full-time

Re-posted 15 days ago

Key responsibilities

  • Conduct data analysis using transportation safety datasets to support research objectives and reporting needs.

  • Clean, validate, and prepare datasets for analysis, including quality checks, documentation, and reproducible workflows.

  • Develop tables, figures, maps, and summaries to support technical reports, presentations, and stakeholder materials.

University Of Massachusetts Amherst rating

8.4

Company rating: 8.4 out of 10

Based on 28 frontline employees who took The Breakroom Quiz

Job description

Technical Assistant II (UMATC)
Job no: 509166
Work type: Staff
Location: Amherst
Categories: Hybrid, Remote, Transportation, Riccio College of Engineering, Full Time, USA/MTA
Title: Technical Assistant II (UMATC)
Executive Area: Academic Affairs
College/School/MBU: Engineering
Department: UMass Trans Ctr
Work Location: Amherst
Schedule: Full Time
Work Arrangement: Hybrid or Remote
Job Summary
The technical assistant will provide assistance and support for highway safety research projects through data analysis, technical execution, and development of project deliverables. This is a 4 month appointment; continuation is contingent on funding.
Essential Functions
Conduct data analysis using transportation safety datasets (e.g., crash, roadway, enforcement, citation data) to support research objectives and reporting needs.
Clean, validate, and prepare datasets for analysis, including quality checks, documentation, and reproducible workflows.
Develop tables, figures, maps, and summaries to support technical reports, presentations, and stakeholder materials.
Draft and contribute to technical reports, white papers, and research briefs, translating analytical results into clear, structured findings.
Support literature reviews and technical scans; summarize findings to inform project tasks and recommendations.
Apply established statistical methods and analytical approaches under the direction of senior research staff.
Assist in the development and application of exposure-based metrics and performance measures for safety analysis.
Utilize SQL and other analytical tools (e.g., R, Python, GIS) to query, manage, and analyze large datasets.
Support GIS-based analysis, including mapping, spatial joins, and visualization of safety data.
Maintain organized documentation of data sources, methodologies, and analytical processes to ensure reproducibility.
Assist with preparation of presentations and materials for meetings, conferences, and stakeholder briefings.
Other Functions
All other duties as assigned.
Minimum Qualifications
Experience in transportation, traffic engineering, human factors, data science, public health, statistics, regulatory, public policy, enforcement or other related field.
Experience conducting data cleaning, validation, and basic statistical analysis.
Ability to interpret data and communicate findings clearly through written reports and visualizations.
Experience working on deliverable based projects.
Experience with Microsoft Word, Excel, PowerPoint and Publisher.
Ability to be a self-starter and to carry through assignments with a minimum amount of supervision.
Excellent oral and written communication skills as well as organizational and interpersonal skills.
Preferred Qualifications
Experience working with data analysis tools such as SQL, R, Python, Excel, or similar.
Knowledge of specific Program activities.
Ability to coordinate grant funded activities in a university environment.
Working Conditions
Work is primarily performed in an indoor university environment and involves lifting and transporting materials or equipment and general physical activity, including prolonged standing, walking, or assuming low postures.
Work Schedule and Work Arrangement
Monday - Friday within standard working hours.
This is a 4 month appointment; continuation is contingent on funding.
This position has the opportunity for a hybrid work schedule, which is defined by the University as an arrangement where an employee's work is regularly performed at a location other than the campus workspace for a portion of the week. As this position falls within the University Staff Association, it is subject to the terms and conditions of the University Staff Association collective bargaining agreement.
This position has the opportunity for a remote work schedule, which is defined by the University as an arrangement where the employee's work location is to work from a site other than the UMass Amherst campus. As this position falls within the University Staff Association, it is subject to the terms and conditions of the University Staff Association collective bargaining agreement.
Salary Information
Pay Grade: USA/MTA Grade 14
Click here to view the Classified Step Scale
Additional Details
This position is subject to final budgetary and administrative approval.
Special Instructions for Applicants
Along with the application, please submit a resume. References will be checked at the finalist stage. Please be prepared to provide contact information for three (3) professional references.
This position will remain open for the time period required by any applicable collective bargaining agreement and will continue until a suitable candidate pool is identified. Interested applicants are strongly encouraged to apply early.
Advertised: 02 Jul 2026 Eastern Daylight Time
Applications close: 02 Oct 2026 Eastern Daylight Time
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