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Trainee Remote Data Analyst Jobs in Worcester, MA

Syner-G

Sr. Business Analyst

Framingham, MA · On-site +1

$95K - $122K/yr

Data Integration Platform Development * Document requirements for integration updates and ... We define total rewards as compensation, benefits, remote work/flexibility, development ...

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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Trainee Remote Data Analyst information

See Worcester, MA salary details

$22.5K

$88.5K

$143.7K

How much do trainee remote data analyst jobs pay per year?

As of Aug 23, 2026, the average yearly pay for trainee remote data analyst in Worcester, MA is $88,471.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,900.00 and $108,300.00 per year, depending on experience, location, and employer.

What is a trainee remote data analyst?

A Trainee Remote Data Analyst is an entry-level role where you learn to collect, clean, analyze, and interpret data to support business decisions. Working remotely, you typically use tools like Excel, SQL, and Python to identify trends and insights. The role involves training under experienced analysts, handling real-world datasets, and developing problem-solving skills. It’s a great starting point for a career in data analytics, offering flexibility and hands-on experience in a growing field.

What does a trainee remote data analyst do?

As a Trainee Remote Data Analyst, your day will often include cleaning and organizing datasets, running queries, generating reports, and assisting with data interpretation for business or project needs. You’ll likely attend virtual team meetings to discuss analysis results, receive mentorship, and align on ongoing tasks. The role also involves learning new data tools, following structured training programs, and collaborating with senior analysts to support broader analytics goals. This remote position requires proactive communication and the ability to manage your own workflow while working closely with distributed teams.

What are the key skills and qualifications needed to thrive as a trainee remote data analyst?

To thrive as a Trainee Remote Data Analyst, a foundational knowledge of statistics, data analysis, and spreadsheet tools—often gained through coursework or a related degree—is essential. Familiarity with data visualization software (like Tableau or Power BI), programming languages (such as Python or SQL), and basic understanding of databases are commonly required technical proficiencies. Strong problem-solving abilities, attention to detail, and effective time management help trainees excel in a remote setting. These skills and traits ensure accurate analysis, meaningful insights, and successful collaboration in virtual data-driven environments.

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

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

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

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

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

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Trainee Remote Data Analyst jobs near you
Infographic showing various Trainee Remote Data Analyst job openings in Worcester, MA as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $88,471 per year, or $42.5 per hour.

Data Engineer (Associate to Senior Level) - Remote

thg

Worcester, MA • On-site, Remote

$114K - $137K/yr

Full-time

Re-posted 23 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