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

Revvity

Sr. Tax Manager (REMOTE)

Waltham, MA · On-site +1

$134K - $167K/yr

Job Title Sr. Tax Manager (REMOTE) Location(s) Australia Remote, US Remote - CT, US Remote - DC, US ... Experience using Excel macros, Power BI, Alteryx and/or similar data analysis/visualization tools ...

Revvity

Sr. Tax Manager (REMOTE)

Waltham, MA · Remote

$134K - $167K/yr

Job Title Sr. Tax Manager (REMOTE) Location(s) Australia Remote, US Remote - CT, US Remote - DC, US ... Experience using Excel macros, Power BI, Alteryx and/or similar data analysis/visualization tools ...

DataAnnotation

FP&A Manager - AI Trainer

Worcester, MA · Remote

$50 - $100/hr

Enjoy the flexibility of remote work and the freedom to set your own schedule. This is an ... Proficient in financial analysis, financial modeling, data analysis, and other reasoning exercises ...

thg

Senior Data Protection Engineer (REMOTE)

Worcester, MA · Remote

$114K - $156K/yr

... Data Protection Engineer to join our IT Security organization in Worcester, MA or in a remote ... Optimize detection and response through automation, orchestration, and advanced analytics.

thg

Senior Data Protection Engineer (REMOTE)

Worcester, MA · Remote

$114K - $156K/yr

... Data Protection Engineer to join our IT Security organization in Worcester, MA or in a remote ... Optimize detection and response through automation, orchestration, and advanced analytics.

CareDx, Inc.

Customer Master Data Manager

Waltham, MA · Remote

... remote candidates will work and collaborate from home. Responsibilities * Customer Master Data ... System Integration - Partner with Commercial Operations, IT, Analytics, Revenue Cycle, Market ...

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Showing results 21-40

All JobsData Analysis JobsRemote Data Analysis JobsRemote Data Analysis Jobs in Worcester, MA

Remote Data Analysis information

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, statistical knowledge, and a background in fields like mathematics, statistics, or computer science. Proficiency with data analysis tools such as SQL, Python, R, and visualization platforms like Tableau or Power BI is typically required. Excellent communication, self-motivation, and time management help remote analysts present insights clearly and stay productive without direct supervision. These skills and qualities ensure accurate data-driven decisions and effective remote collaboration with stakeholders.

What is the difference between Remote Data Analysis vs Remote Data Entry?

AspectRemote Data AnalysisRemote Data Entry
Required SkillsData interpretation, statistical tools, analytical skillsTyping speed, accuracy, basic computer skills
Tools UsedExcel, SQL, data visualization softwareSpreadsheets, data entry platforms
Work EnvironmentAnalytical tasks, report creation, data insightsData input, database updating, record management
Common CertificationsData analysis certifications, Excel proficiencyNone typically required

Remote Data Analysis involves interpreting data, creating reports, and providing insights using analytical tools, while Remote Data Entry focuses on inputting and managing data accurately. Both roles are performed remotely and require computer skills, but Data Analysis demands analytical expertise and familiarity with data tools, whereas Data Entry emphasizes speed and accuracy in data input tasks.

What is remote data analysis?

Remote data analysis refers to the process of examining, interpreting, and drawing insights from data using digital tools, while working from a location outside of a traditional office setting. Professionals in this field utilize statistical software, databases, and visualization tools to analyze large datasets and help organizations make informed decisions. Remote data analysts often collaborate with team members and stakeholders virtually, ensuring that data-driven strategies are implemented effectively. This role requires strong analytical skills, attention to detail, and the ability to communicate findings clearly.

How do remote data analysts typically collaborate with team members and stakeholders?

Remote data analysts often use a combination of communication and project management tools—such as Slack, Microsoft Teams, and Zoom—to stay connected with colleagues and stakeholders. Regular virtual meetings, shared dashboards, and collaborative platforms enable them to discuss findings, gather requirements, and provide updates on ongoing projects. Clear documentation and proactive communication are essential to ensure alignment, especially when working across different time zones or departments. Building strong relationships with team members virtually can help streamline workflows and facilitate effective decision-making.
What are the most commonly searched types of Data Analysis jobs in Worcester, MA? The most popular types of Data Analysis jobs in Worcester, MA are:
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What cities near Worcester, MA are hiring for Remote Data Analysis jobs? Cities near Worcester, MA with the most Remote Data Analysis job openings:
Remote Data Analysis jobs near you
Infographic showing various Remote Data Analysis job openings in Worcester, MA as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 14% Part Time, and 5% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution.

Data Engineer (Associate to Senior Level) - Remote

thg

Worcester, MA • On-site, Remote

$114K - $137K/yr

Full-time

Re-posted 10 days ago

Job description

Our Enterprise Data & Analytics, Claims Analytics, and Technology teams are growing—and we’re looking for Data Engineers at multiple levels to help power the future of data at The Hanover. 

 

POSITIONS OVERVIEW:

In these roles, you will play a key part in designing and delivering scalable, secure, and high-performing data solutions that enable analytics, reporting, and strategic decision-making across the organization. You’ll work hands-on with modern data platforms and collaborate with cross-functional partners to transform complex data into actionable insights.

Whether you’re early in your career building foundational skills or an experienced engineer leading enterprise-scale initiatives, you’ll contribute to a data-driven culture by developing reliable pipelines, advancing data quality and governance, and continuously improving our cloud-based data ecosystem.

These are full-time, exempt roles.   
POSITIONS SUMMARY:

Depending on your level, you’ll:

  • Design, build, and optimize data pipelines and ETL workflows
  • Develop scalable data models, data structures, and data integrations
  • Work with modern cloud platforms including Azure Synapse, Data Factory, Data Lake, and Databricks
  • Ensure data quality, governance, security, and compliance
  • Partner with business stakeholders, analysts, and data scientists
  • Contribute to or lead complex, cross-functional data initiatives
  • Improve platform reliability through monitoring, validation, and automation
  • Create clear documentation, runbooks, and data lineage
  • Mentor junior engineers (Senior-level roles)

Technology Stack includes: 

  • Azure Data Services (Synapse, Data Factory, ADLS)
  • Databricks, Delta Tables, Spark / PySpark
  • SQL / T-SQL, Python (plus Java/Scala in some teams)
  • Power BI and analytics tools
  • CI/CD via GitHub / Azure DevOps

Associate Data Engineer (0–2 years)

  • Build foundational skills in ETL, cloud data platforms, and data architecture
  • Work alongside experienced engineers to deliver scalable solutions
  • Ideal for candidates with strong SQL/Python fundamentals and a passion for learning

Data Engineer II (up to 5+ years)

  • Own development of pipelines, models, and datasets
  • Drive improvements in data quality, governance, and performance
  • Work independently across multiple projects with business impact

Senior Data Engineer (5+ years)

  • Lead complex data initiatives and architectural decisions
  • Design enterprise-scale data solutions in Azure
  • Mentor engineers and help establish best practices
  • Drive innovation in reliability, scalability, and cost efficiency

 

WHAT YOU NEED TO APPLY:

 

  • Degree in Data Science, Computer Science, or a related field
  • Must be eligible to work in the US without requiring any sponsorship, now or in the future (Law Permanent Residence or US Citizen
  • Experience with data engineering, ETL/ELT, and data modeling
  • Proficiency in SQL and Python (advanced at senior levels)
  • Strong problem-solving, communication, and collaboration skills
  • Experience with cloud data platforms (Azure preferred)
  • Passion for building high-quality, reliable data solutions

BONUS POINTS FOR:

 

  • Azure certifications (DP-203, DP-700)
  • Databricks / Data Lake experience
  • Power BI or analytics experience
  • Insurance or claims data knowledge

Apply