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Data Analytics Intern Jobs in Roxbury, MA (NOW HIRING)

CTP is looking for an Analytics Intern. We love working with talented people, and we continually ... Support data collection, organization, analysis, and reporting for client campaigns. * Help create ...

New

Data Analytics Co-Op

Boston, MA ยท On-site

$30 - $34/hr

CO-OP/Intern Cycle: January - June 2027 Anticipated Start & End Date: January 4, 2027, to June 25 ... Audax is looking for a dynamic, motivated Data Analyst CO-OP to join the business solutions team.

Longwood Collective is seeking an organized and motivated Power BI Analyst Intern for their Area ... This data includes critical demographic, facilities, parking, commuting benefit, financial ...

Data Analytics Co-Op

Boston, MA ยท On-site

$30 - $34/hr

CO-OP/Intern Cycle: January - June 2027 Anticipated Start & End Date: January 4, 2027, to June 25 ... Audax is looking for a dynamic, motivated Data Analyst CO-OP to join the business solutions team.

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Data Analytics Intern information

See Roxbury, MA salary details

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How much do data analytics intern jobs pay per hour?

As of Aug 29, 2026, the average hourly pay for data analytics intern in Roxbury, MA is $24.42, according to ZipRecruiter salary data. Most workers in this role earn between $18.80 and $26.59 per hour, depending on experience, location, and employer.

What does a data analytics intern do?

A Data Analytics Intern assists in collecting, processing, and analyzing data to help organizations make informed decisions. They typically work with tools like Excel, SQL, and data visualization software to identify trends, create reports, and support business objectives. Interns often collaborate with data analysts and other team members to gain practical experience and develop their technical skills. Their work may involve cleaning datasets, running basic analyses, and presenting findings to stakeholders.

What are the key skills and qualifications needed to thrive as a data analytics intern, and why are they important?

To thrive as a Data Analytics Intern, you need a solid understanding of statistics, data analysis, and proficiency in programming languages like Python or R, often supported by coursework in mathematics, computer science, or related fields. Familiarity with data visualization tools (such as Tableau or Power BI), SQL databases, and spreadsheet software is typically expected. Strong analytical thinking, attention to detail, and effective communication skills help interns interpret data and present findings clearly. These skills are crucial for drawing meaningful insights from data and supporting decision-making processes within an organization.

What are some common challenges data analytics interns face during their internship, and how can they overcome them?

Data Analytics Interns often encounter challenges such as working with large and complex datasets, learning new analytical tools and programming languages on the job, and translating data findings into actionable insights for non-technical stakeholders. To overcome these challenges, interns should proactively seek guidance from mentors, take advantage of available training resources, and communicate regularly with team members to clarify project goals. Developing strong problem-solving skills and being open to feedback also helps interns grow and succeed in the role.

What is the difference between Data Analytics Intern vs Data Analyst?

AspectData Analytics InternData Analyst
Required CredentialsTypically pursuing or recent graduate in related fieldBachelor's or higher in data-related field, some certifications
Work EnvironmentInternship programs, entry-level tasks, supervisedFull-time, independent project work, more responsibility
Employer & Industry UsageInternships in various industries, training rolesFull-time roles across industries like finance, tech, healthcare
Common Search & Comparison IntentUnderstanding entry-level opportunities, learning rolesCareer progression, skill development, salary expectations

The main difference between a Data Analytics Intern and a Data Analyst lies in experience, responsibilities, and employment status. Interns are typically students or recent graduates gaining initial exposure, while Data Analysts are full-time professionals handling complex data projects. Internships serve as training grounds, whereas Data Analysts are expected to independently analyze data and contribute to decision-making processes.

Can I do a data analytics intern internship?

A data analytics intern internship is typically available to students or recent graduates with skills in data analysis, statistics, and tools like Excel, SQL, or Python. Internships usually have age or educational requirements and may require a resume or interview process. They provide practical experience in data collection, cleaning, and reporting within a professional environment.

What are the most commonly searched types of Data Analytics jobs in Roxbury, MA?

The most popular types of Data Analytics jobs in Roxbury, MA are:

What job categories do people searching Data Analytics Intern jobs in Roxbury, MA look for?

The top searched job categories for Data Analytics Intern jobs in Roxbury, MA are:

What cities near Roxbury, MA are hiring for Data Analytics Intern jobs?

Cities near Roxbury, MA with the most Data Analytics Intern job openings:

Infographic showing various Data Analytics Intern job openings in Roxbury, MA as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 12% Part Time, and 5% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $50,800 per year, or $24.4 per hour.

Analytics Intern

CTP

Boston, MA โ€ข On-site

Other

Posted yesterday

New


Job description

CTP is looking for an Analytics Intern.

We love working with talented people, and we continually look for compassionate co-workers with a collaborative spirit to add to our community. Our work moves quickly, and we’re great at coming together to find creative solutions for our clients' most interesting problems. CTP’s wide array of work can be seen here.

In this role, you’ll work closely with our Media & Analytics team, with a particular focus on AI, automation, and emerging technology. You’ll help us research and experiment with new tools and approaches that can make our analytics and media work smarter, faster, and more effective, while also exploring opportunities for AI and automation across the agency.

This is a great fit for someone who is naturally curious, analytical, and excited to experiment. You don’t need to come in as an AI expert. We’re looking for someone who likes figuring out how things work, isn’t afraid to test new tools, and can think critically about where technology can solve real problems.

What you’ll do

  • Test and evaluate new tools, platforms, and workflows, particularly within media and analytics.
  • Help develop and test AI-powered or automated solutions that improve how we collect, organize, analyze, and communicate data.
  • Look for opportunities to automate repetitive tasks and make existing agency processes more efficient.
  • Document findings, experiments, and recommendations so successful ideas can be shared and adopted across teams.
  • Support data collection, organization, analysis, and reporting for client campaigns.
  • Help create and interpret dashboards and reporting outputs.
  • Assist with measurement strategies and frameworks to evaluate marketing effectiveness.
  • Learn and assist with campaign tracking and measurement, including UTMs, pixels, tags, and QA.
  • Explore tools used for client business intelligence, including Google Analytics, Google Search Console, social listening platforms, CRMs, and other emerging technologies.
  • Turn data into clear findings and insights that can be easily understood by CTP teammates and clients.
  • Collaborate with teammates across analytics, media, strategy, and other disciplines to understand their needs and identify ways data, AI, and automation could help.

What you’ll learn

  • How an agency uses analytics to measure marketing performance and inform strategy.
  • How AI and automation can be applied to real-world media, analytics, and agency challenges.
  • How to evaluate emerging technology beyond the hype and identify tools that can meaningfully improve the way people work.
  • How marketing data is collected, organized, analyzed, and translated into useful insights.
  • How dashboards, measurement frameworks, and reporting are built for real client work.
  • How analytics partners with media, creative, strategy, and account teams within a full-service agency.
  • How to take an idea from research and experimentation through to a practical recommendation or working solution.

Qualifications

  • Ability to commute to our Boston office 2x/week (Tuesday and Wednesday).
  • Ability to work 16 hours per week based on a mutually agreed upon schedule.
  • Interest in analytics, data, AI, automation, and marketing technology.
  • Strong curiosity and willingness to learn, experiment, and troubleshoot.
  • Comfort working with data and spreadsheets, including Excel or Google Sheets.
  • Strong attention to detail and organizational skills.
  • Ability to communicate findings and ideas clearly.
  • Interest in exploring AI tools and thinking critically about how they can be used effectively and responsibly.
  • Coursework, projects, or previous experience involving analytics, data visualization, marketing, AI, automation, or related areas.

This is a paid internship at $15 per hour, with an expected schedule of 16 hours each week.

We are an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment. If you require a reasonable accommodation to complete any part of the application process or in your work once hired, please contact our Human Resources Department.

Applicants must be legally authorized to work in the United States. We do not offer visa sponsorship for this role.

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