3

Full Time Remote Data Analyst Jobs in Springfield, MA

$67K - $85K/yr

THIS IS A FULL-TIME, EXEMPT ROLE. Position Overview: As a key member of the Salesforce team, this ... Conducts proactive data analysis, providing insights and recommending innovative and effective ...

Executive IT Support Sr Analyst

Hartford, CT · On-site +1

$96K - $144K/yr

Provide timely onsite and remote technical support, resolving issues across devices, collaboration ... Proactive mindset with continuous improvement focus Full-time onsite 5 days a week in Hartford, CT ...

This remote position requires aspects of Supply Chain Management, Procurement, Manufacturing ... Make detailed observations, gather part and process data, interpret/analyze that data, ensure ...

This remote position requires aspects of Supply Chain Management, Procurement, Manufacturing, and ... Make detailed observations, gather part and process data, interpret/analyze that data, ensure ...

Remote Tax Manager

Stafford, CT · Remote

$150K - $170K/yr

May 29, 2026 Employment Type: Full-time (W2) Hiring Company: Confidential Location: 100% Remote (US ... than just transactional data entry. * Firm Scaling: Help strengthen and scale our advisory ...

College degree in Computer Science, Software Engineering, Data Analytics, or equivalent practical experience. #LI-LH1 #LI-REMOTE For individuals assigned or hired to work in the location(s) indicated ...

College degree in Computer Science, Software Engineering, Data Analytics, or equivalent practical experience. #LI-LH1 #LI-REMOTE For individuals assigned or hired to work in the location(s) indicated ...

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Showing results 1-20

Full Time Remote Data Analyst information

See Springfield, MA salary details

$33.9K

$82.4K

$135.5K

How much do full time remote data analyst jobs pay per year?

As of Jun 23, 2026, the average yearly pay for full time remote data analyst in Springfield, MA is $82,351.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,300.00 and $96,700.00 per year, depending on experience, location, and employer.

What is the difference between Full Time Remote Data Analyst vs Full Time Remote Data Scientist?

AspectFull Time Remote Data AnalystFull Time Remote Data Scientist
Required CredentialsBachelor's in Data, Statistics, or related field; often certifications in Excel, SQL, or TableauBachelor's or higher in Data Science, Computer Science, or related; often includes certifications in Python, R, or machine learning
Work EnvironmentRemote, collaborative with teams, using data analysis toolsRemote, often involves complex modeling, coding, and advanced analytics
Industry UsageBusiness, finance, marketing, healthcareTech, finance, research, AI development

Full Time Remote Data Analysts focus on interpreting data, creating reports, and supporting decision-making, while Data Scientists develop predictive models and advanced algorithms. Both roles are remote and require analytical skills, but Data Scientists typically have more technical expertise in programming and machine learning.

What is a Full Time Remote Data Analyst?

A Full Time Remote Data Analyst is a professional who works from a location outside the traditional office environment, usually from home, and is employed on a full-time basis. Their main responsibility is to collect, process, and analyze large sets of data to help organizations make informed decisions. They use statistical tools and software to interpret data trends, create reports, and present findings to stakeholders. Remote data analysts collaborate with teams via digital communication tools and may work with data from various industries, such as finance, healthcare, or technology. This role requires strong analytical skills, attention to detail, and proficiency with data analysis software.

What are some common challenges faced by full-time remote data analysts, and how can they be addressed?

One common challenge for full-time remote data analysts is maintaining clear communication and collaboration with team members who may be in different locations or time zones. To overcome this, it's important to proactively schedule regular check-ins, leverage collaborative tools (like Slack, Teams, or project management platforms), and document your work thoroughly for transparency. Additionally, remote analysts often need to manage their own time effectively and set boundaries to prevent burnout. Staying organized and maintaining a healthy work-life balance are essential for long-term success in this role.

What are the key skills and qualifications needed to thrive as a Full Time Remote Data Analyst, and why are they important?

To thrive as a Full Time Remote Data Analyst, you need strong analytical skills, proficiency in statistics, and a relevant degree in fields such as mathematics, computer science, or economics. Experience with data visualization tools (e.g., Tableau, Power BI), programming languages (e.g., Python, R), and advanced Excel functions is typically required. Excellent communication, self-motivation, and time management are standout soft skills for remote collaboration and clear reporting. These abilities are crucial for delivering actionable insights, maintaining productivity, and ensuring data-driven decision-making in a remote work environment.
What are the most commonly searched types of Remote Data Analyst jobs in Springfield, MA? The most popular types of Remote Data Analyst jobs in Springfield, MA are:
GEN AI Sr Data Scientist/Data Scientist

GEN AI Sr Data Scientist/Data Scientist

The Hartford Financial Services Group, Inc.

Hartford, CT • On-site, Remote

$90K - $166K/yr

Full-time

Posted 17 days ago


The Hartford rating

8.8

Company rating: 8.8 out of 10

Based on 104 frontline employees who took The Breakroom Quiz

52nd of 261 rated insurance


Job description

Sr Data Scientist - GD07AE
Data Scientist - GD08AE
We're determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals - and to help others accomplish theirs, too. Join our team as we help shape the future.
Senior Data Scientist - AI Horizontal Products
Step into the future with The Hartford as a Senior Data Scientist, where Generative AI is a core strategic capability-it's central to our enterprise strategy. Join a team that's pioneering AI-driven products across underwriting, claims, and customer service, transforming how we operate and make decisions at scale.
As part of our Horizontal AI Products Team, you will investigate emerging models, architectures, and techniques; design rigorous evaluation frameworks; and prototype new products that inform how GenAI is operationalized across the organization. This position is ideal for someone who is intellectually curious, technically deep, and motivated by advancing the state of practice in enterprise Generative AI.
This position offers a Hybrid or Remote work arrangement. Candidates living near one of our locations are expected to work in the office three days per week (Tuesday-Thursday).
Research & Technical Responsibilities
  • Conduct applied research in Generative AI, exploring emerging foundation models, architectures, and inference strategies to address enterprise AI use cases.
  • Lead investigation and experimentation across areas such as:
    • Agent-based and multi-step reasoning workflows
    • Retrieval-augmented generation (RAG)
    • Long-context modeling and information synthesis
    • Prompting strategies and controllability of generative outputs
  • Design and execute rigorous experimental frameworks to evaluate model quality, robustness, latency, cost, and reliability using:
    • Automated metrics
    • Human-in-the-loop feedback
    • LLM-as-a-judge and comparative evaluation methodologies
  • Create benchmarks and build reproducible pipelines to compare vendor models, open-source alternatives, and internal approaches.
  • Rapidly prototype research ideas using modern GenAI tooling such as:
    • Vertex AI / Google Agent Development Kit
    • LangChain / LangGraph
    • RAG frameworks
    • Hugging Face ecosystems
    • OpenAI APIs
  • Translate research findings into deployable GenAI capabilities, working closely with engineering and MLOps teams to ensure scalability, observability, and responsible AI practices.
  • Contribute to the enterprise GenAI roadmap by identifying gaps, risks, and opportunities informed by ongoing research and industry trends.
  • Partner with stakeholders across Data Science, Technology, and Business teams to align research directions with real-world operational challenges.

Qualifications
  • Masters and 5+ years of industry experience OR PhD and 3+ years of industry experience in machine learning or data science and with 1+ years focused on GenAI.
  • Strong proficiency in Python and modern AI/ML frameworks
  • Demonstrated experience designing experiments, running evaluations, and drawing conclusions from empirical results.
  • Hands-on experience with Generative AI frameworks and platforms, including Vertex AI, ADK, LangChain/LangGraph, RAG pipelines, Hugging Face, and OpenAI APIs.
  • Deep understanding of:
    • Agent workflows and tool-augmented LLMs
    • Prompt engineering and model controllability
    • Retrieval-augmented generation (RAG) design trade-offs
    • Generative model evaluation and benchmarking techniques
  • Experience collaborating with engineering and MLOps teams to transition prototypes into production systems.
  • Strong written and verbal communication skills, including the ability to explain research findings, limitations, and trade-offs to both technical and non-technical audiences.
  • Authorization to work in the United States without company sponsorship. STEM OPT I-983 Training Plan endorsement is not supported for this role.

Compensation
The listed annualized base pay range is primarily based on analysis of similar positions in the external market. Actual base pay could vary and may be above or below the listed range based on factors including but not limited to performance, proficiency and demonstration of competencies required for the role. The base pay is just one component of The Hartford's total compensation package for employees. Other rewards may include short-term or annual bonuses, long-term incentives, and on-the-spot recognition. The annualized base pay range for this role is:
$90,160 - $166,080
The posted salary range reflects our ability to hire at different position titles and levels depending on background and experience.
Equal Opportunity Employer/Sex/Race/Color/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age
About Us | Our Culture | What It's Like to Work Here | Perks & Benefits

What The Hartford employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Hartford logo

About Hartford

Sourced by ZipRecruiter

Hartford Financial Services Group, widely recognized as The Hartford, is a renowned company based in Hartford, CT, US. Established in 1810, it has evolved into an industry leader in the insurance and financial services sector, proudly serving more than one million businesses in the US. The Hartford is committed to offering a gamut of insurance products that include homeowners, automobile, and business insurance as well as employee benefits and mutual funds. The company’s core values revolve around customer-focused innovations, diversity and inclusion, and ethical dealings that have earned them a customer-centric reputation. This shapes their mission which revolves around aiding their clients to overcome unforeseen obstacles and enhancing their wealth over time. Among the company's noted accomplishments is being consistently listed among the World's Most Ethical Companies, a testament to their unwavering commitment towards responsible business practices.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

Hartford, CT, US

Year founded

1810

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