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

These services include high and low bandwidth fiber optic transport, voice and data circuits ... Attend site surveys for assigned remote events for venue analysis and written pre-event plans.

Project Talent Model (PTM) is a model that is tailored specifically for long-term, remote client ... software, data, AI, network, and hybrid cloud infrastructure. These solutions are powered by ...

This remote position requires aspects ofSupply ChainManagement, 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 ... 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 ...

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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Remote Data Analyst information

See Springfield, MA salary details

$33.9K

$82.4K

$135.5K

How much do remote data analyst jobs pay per year?

As of Jul 14, 2026, the average yearly pay for 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.

Is there a high demand for data analysts?

The demand for data analysts remains strong across various industries due to the increasing reliance on data-driven decision making. Organizations seek professionals skilled in data visualization, statistical analysis, and tools like Excel, SQL, and Python, leading to steady job growth in this field.

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

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 do a data analyst job remotely?

Yes, many data analyst positions are available for remote work, especially those that involve analyzing data, creating reports, and using tools like Excel, SQL, and data visualization software. Remote data analysts typically need strong communication skills and proficiency with relevant software to collaborate effectively with teams online.

Is 40 too late for data science?

For a remote data analyst role, age is generally not a barrier; many professionals transition into data science or analytics later in their careers. Success depends on acquiring relevant skills such as programming, statistics, and tools like SQL or Python, regardless of age. Continuous learning and building a strong portfolio can help late entrants compete effectively in the field.

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.

Will AI replace data analyst?

AI tools can automate routine data processing and analysis tasks, but the role of a data analyst involves interpreting insights, understanding context, and communicating findings, which currently require human judgment. Data analysts will likely evolve to work alongside AI, focusing more on complex analysis, strategy, and decision-making that AI cannot fully replicate.

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 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:
Senior Consultant Performance Analytics Auto Claims

Senior Consultant Performance Analytics Auto Claims

The Hartford

Hartford, CT • On-site, Remote

Full-time

Posted 14 days ago


The Hartford rating

8.8

Company rating: 8.8 out of 10

Based on 110 frontline employees who took The Breakroom Quiz

53rd of 281 rated insurance


Job description

Sr Consultant Perf Analytics - GB07AE

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.

The Auto Physical Damage Claims Performance Analytics team is seeking a Senior Performance Analytics Consultant to help evaluate operational and financial performance, identify emerging trends, and deliver insights that support confident business decisions. This role partners closely with Claims leaders, Performance Analytics teammates, Transformation and Optimization, Data Science, Product, Actuarial and segment leaders to connect data and business context.

This consultant will transform complex claims data into actionable insights, develop reporting and self-service analytics, helping leaders clearly see trends and understand the "why" behind them. The ideal candidate brings strong analytical skill, business curiosity, sound judgment, and the ability to communicate clearly with both technical and non-technical audiences. Success in this role requires analytical ownership, thoughtful problem framing, disciplined validation, and the ability to influence through evidence-based recommendations.

Key Responsibilities

  • Analyze Auto Physical Damage Claims results to identify trends, outliers, root causes, risks, and opportunities across operational and financial performance.

  • Partner with leaders and stakeholders to clarify business questions, define KPIs, prioritize analytics opportunities, and translate customer needs into actionable requirements.

  • Develop dashboards, scorecards, reporting exhibits, and self-service analytics that support performance management, risk detection, and executive decision-making.

  • Use structured analytical thinking, hypothesis-driven analysis, and appropriate statistical methods to evaluate trends movement, support hypotheses and recommendations.

  • Connect claims results with broader business, operational, industry, market, and macro trends to help leaders understand context.

  • Present complex findings clearly to non-technical and executive audiences, using strong data storytelling, visual design judgment, and business-friendly language.

  • Collaborate with data engineering and analytics partners to improve data accessibility, quality, governance, and repeatability of reporting solutions.

  • Lead work independently without formal authority, manage multiple priorities, and help partners move from insight to action.

Qualifications

  • Bachelor's degree preferred; experience in data analytics, performance analytics, business intelligence, or operational analytics preferred.

  • Degree in business Analytics, Statistics, Mathematics, or related field experience is a plus.

  • Experience in claims or insurance preferred; Auto Claims experience is a plus.

  • Demonstrated ability to extract, clean, integrate, analyze, and validate data from multiple sources, including large datasets.

  • Strong familiarity with analytics and visualization tools such as Snowflake, SQL, Tableau, Excel, ThoughtSpot, Power BI, Python, or similar tools.

  • Strong reporting and KPI design skills, including the ability to define, visualize, and explain metrics aligned to strategic goals.

  • Ability to frame business problems, question assumptions, evaluate evidence, and generate data-backed insights that are accurate, decision-ready, and grounded in business context.

  • Strong communication and storytelling skills, with the ability to tailor insights for executive, technical, and operational audiences.

  • Proven ability to build partnerships, influence without formal authority, and collaborate across Claims, Product, Actuarial, Operations, Data Science, or Transformation teams.

  • Comfort working in ambiguity, managing multiple priorities, and adapting as business needs, tools, and processes evolve.

  • Understanding of Agile is a plus.

Preferred Future-Ready Skills

  • Experience using advanced analytics, automation, or AI-enabled tools to improve speed, consistency, or quality of analytics work.

  • Comfort reviewing and validating AI-assisted outputs, including checking for accuracy, completeness, assumptions, and business relevance.

  • Ability to use prompts, natural language interfaces, or AI-supported workflows to accelerate analysis, reporting, or storytelling while maintaining human oversight.

  • Interest in helping shape repeatable, governed analytics processes as tools and workflows continue to evolve.

Work Arrangements

  • This role can have a Hybrid or Remote work arrangement. Candidates who live near one of our office locations (Hartford, CT, San Antonio, TX, Lake Mary, FL, Phoenix, AZ, Naperville, IL) will have the expectation of working in an office 3 days a week (Tuesday through Thursday).Candidates who do not live near an office will have aremote work arrangement, with the expectation of coming into an office as business needs arise.

Claims Performance Analytics Strategic Direction

  • Leverage technology, advanced analytics, and seamless collaboration to deliver timely, deep insights that help partners confidently navigate Claims and market changes.

Key Characteristics for Success

  • Trustworthy: Demonstrates authenticity, openness, integrity, and disciplined validation in analytics work.

  • Partnership Centric: Builds strong relationships, listens actively, understands stakeholder needs, and aligns insights to shared goals.

  • Value Oriented: Focuses on business outcomes, prioritizes high-value questions, and translates analysis into action.

  • Sought-After Expert: Brings curiosity, continuous learning, domain understanding, and sound judgment to complex analytical questions.

  • Adaptable: Embraces evolving tools, workflows, and expectations while maintaining quality, accuracy, and accountability.

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:

$94,000 - $141,000

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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