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Remote Data Analytics Extern Jobs in Massachusetts

YO AI Labs

AI Consulting Expert - Remote

Boston, MA · Remote

$100 - $200/hr

No prior AI experience is required--your consulting expertise, analytical thinking, and ... Annotate data, interpret findings, and perform fact-checking to ensure high-quality content.

YO AI Labs

AI Consulting Expert - Remote

Boston, MA · Remote

$100 - $200/hr

No prior AI experience is required--your consulting expertise, analytical thinking, and ... Annotate data, interpret findings, and perform fact-checking to ensure high-quality content.

YO AI Labs

AI Consulting Expert - Remote

Boston, MA · Remote

$100 - $200/hr

No prior AI experience is required--your consulting expertise, analytical thinking, and ... Annotate data, interpret findings, and perform fact-checking to ensure high-quality content.

Mass General Brigham

Trauma data Analyst

Salem, MA · On-site +1

$17.71 - $25.28/hr

No Licenses and Credentials Experience related experience 2-3 years in Trauma Analyst Data required ... Hearing Constantly (67-100%) Remote Type Remote Work Location 3 Dove Ave Scheduled Weekly Hours 36 ...

Gradient AI

Senior Health Data Consultant

Boston, MA · On-site +1

$120K - $160K/yr

This is a remote role. Gradient AI: Gradient AI is revolutionizing Group Health and P&C insurance ... This is a client-facing, analytics-driven role focused on pricing consultations, AI model adoption ...

JLL

Data Collection Specialist II

Boston, MA · Remote

Requires analytical and quantitative skills with proven experience in developing strategic ... Remote -Boston, MA, Chicago, IL, Cleveland, OH, Dallas, TX, Indianapolis, IN, JERSEY CITY, NJ, Las ...

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All JobsData Analytics Extern JobsRemote Data Analytics Extern JobsRemote Data Analytics Extern Jobs in Massachusetts

Remote Data Analytics Extern information

What is a remote data analytics extern?

A Remote Data Analytics Extern is an individual, often a student or early-career professional, who participates in a temporary, remote internship or externship focused on data analytics. In this role, externs work with real-world datasets, perform data cleaning, analysis, and visualization, and often support business decision-making. The position is typically project-based and is designed to provide practical experience while allowing participants to work from anywhere. Remote Data Analytics Externs often collaborate with mentors and teams via digital communication platforms to complete their assignments. This experience helps build valuable technical and analytical skills for a future career in data science or analytics.

What are the key skills and qualifications needed to thrive as a remote data analytics extern?

To thrive as a Remote Data Analytics Extern, you need a strong foundation in statistics, data analysis, and proficiency with programming languages like Python or R, often supported by relevant coursework or a related degree. Familiarity with data visualization tools (such as Tableau or Power BI), SQL databases, and spreadsheet software is typically expected. Strong attention to detail, problem-solving abilities, and effective communication skills help you interpret data and share findings with diverse teams. These skills are crucial for extracting actionable insights from data and effectively supporting business decision-making in a remote environment.

How does a remote data analytics extern typically collaborate with team members and mentors in a virtual setting?

As a Remote Data Analytics Extern, you will regularly communicate with your team and mentors through virtual platforms such as video calls, messaging apps, and shared project management tools. Collaboration often involves participating in regular check-ins, presenting findings, and seeking feedback on your analysis. You'll likely work on assigned tasks independently but will have opportunities to join group discussions, attend virtual workshops, and contribute to team projects. Effective remote collaboration relies on proactive communication, timely updates, and leveraging digital tools to stay connected and aligned with your team.

What is the difference between Remote Data Analytics Extern vs Remote Data Analyst?

AspectRemote Data Analytics ExternRemote Data Analyst
CredentialsTypically pursuing or holding a relevant degree or certification in data analytics or related fieldsOften requires a degree in data science, statistics, or related fields; certifications like SQL, Python, or Tableau are common
Work EnvironmentInternship or externship setting, often part-time or temporary, with mentorshipFull-time or part-time remote position with ongoing responsibilities
Employer & Industry UsageUsed by educational institutions, training programs, or companies offering internship opportunitiesEmployed by companies across industries such as finance, healthcare, or tech as a regular employee or contractor

The main difference is that a Remote Data Analytics Extern is typically an internship or training role aimed at gaining experience, while a Remote Data Analyst is a full-time professional responsible for analyzing data and providing insights. The externship is often temporary and educational, whereas the analyst role involves ongoing work and responsibilities.

What are the most commonly searched types of Data Analytics Extern jobs in Massachusetts?

The most popular types of Data Analytics Extern jobs in Massachusetts are:

What cities in Massachusetts are hiring for Remote Data Analytics Extern jobs?

Cities in Massachusetts with the most Remote Data Analytics Extern job openings:

Remote Data Analytics Extern jobs near you

Data Engineer (Associate to Senior Level) - Remote

thg

Worcester, MA • On-site, Remote

$114K - $137K/yr

Full-time

Re-posted 21 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