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Associate Data Analyst Internship Jobs in Massachusetts

... Associate's Degree Related Field of Study preferred C.A.I.S.S or ICD-10 or I.S.S. experience ... No Licenses and Credentials Experience related experience 2-3 years in Trauma Analyst Data required.

... Associate's Degree Related Field of Study preferred C.A.I.S.S or ICD-10 or I.S.S. experience ... No Licenses and Credentials Experience related experience 2-3 years in Trauma Analyst Data required.

The Fixed Income Portfolio & Data Analyst supports the firm's Municipal and Taxable Fixed Income ... associates and applicants for employment without regard to gender, race, color, national origin ...

Your work may support data analysis, process analysis, business requirements, data quality ... At DTCC, interns contribute to meaningful work while learning how the financial markets operate ...

New

Intern - Compliance Data Analyst

Worcester, MA · On-site

$39K - $48K/yr

... our Summer Internship Program, which provides meaningful opportunities for personal and ... Provide timely and accurate analytical support to the team, ensuring results are validated and ...

Intern - Compliance Data Analyst

Worcester, MA · On-site

$39K - $48K/yr

... our Summer Internship Program, which provides meaningful opportunities for personal and ... Provide timely and accurate analytical support to the team, ensuring results are validated and ...

Showing results 41-60

Associate Data Analyst Internship information

What does an associate data analyst intern do?

An Associate Data Analyst Intern supports the data analysis team by collecting, cleaning, and interpreting data to help inform business decisions. Typical tasks include creating reports, visualizing data trends, and assisting with data quality checks. Interns often work closely with experienced analysts and may use tools like Excel, SQL, or data visualization software. This role provides hands-on experience in data management and analytics, making it a great entry point for a career in data analysis.

What are the key skills and qualifications needed to thrive as an associate data analyst intern?

To thrive as an Associate Data Analyst Intern, you need foundational skills in data analysis, statistics, and a basic understanding of business concepts, often supported by coursework in mathematics, statistics, or related fields. Familiarity with analytical tools like Excel, SQL, and data visualization platforms such as Tableau or Power BI is typically required. Strong problem-solving abilities, attention to detail, and effective communication skills help interns interpret data and present findings clearly. These skills are crucial for accurately analyzing data, supporting decision-making, and contributing to meaningful business insights.

What types of projects and responsibilities can I expect during an associate data analyst internship?

As an Associate Data Analyst Intern, you can expect to work on a variety of data-driven projects, such as cleaning and organizing large datasets, generating reports, and assisting in the development of dashboards. You may be responsible for supporting senior analysts with ad-hoc data requests, conducting basic statistical analyses, and visualizing key findings to inform business decisions. Collaboration is common; you’ll likely work closely with team members from analytics, engineering, and business units, providing you with exposure to different parts of the organization.

What is the difference between Associate Data Analyst Internship vs Data Analyst?

AspectAssociate Data Analyst InternshipData Analyst
Required CredentialsEnrolled in or recent graduate of related degree programsBachelor's degree in data science, statistics, or related field
Work EnvironmentInternship setting, often part-time or temporaryFull-time professional role in various industries
Employer & Industry UsageInternship programs in tech, finance, healthcare, etc.Permanent positions across multiple sectors
Search & Comparison IntentUnderstanding entry-level internship opportunitiesSeeking full-time data analysis roles

The Associate Data Analyst Internship is an entry-level, temporary position designed for students or recent graduates gaining initial experience. In contrast, a Data Analyst is a full-time professional role requiring more experience and often a degree. Internships serve as a stepping stone toward a full Data Analyst position, which involves more responsibilities and independence in data analysis tasks.

What are the most commonly searched types of Data Analyst Internship jobs in Massachusetts?

The most popular types of Data Analyst Internship jobs in Massachusetts are:

What are popular job titles related to Associate Data Analyst Internship jobs in Massachusetts?

For Associate Data Analyst Internship jobs in Massachusetts, the most frequently searched job titles are:

What job categories do people searching Associate Data Analyst Internship jobs in Massachusetts look for?

The top searched job categories for Associate Data Analyst Internship jobs in Massachusetts are:

What cities in Massachusetts are hiring for Associate Data Analyst Internship jobs?

Cities in Massachusetts with the most Associate Data Analyst Internship job openings:

Data Engineer (Associate to Senior Level) - Remote

thg

Worcester, MA • On-site, Remote

$114K - $137K/yr

Full-time

Re-posted 4 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