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Internship Data Analytics Graduate Jobs in Boston, MA

AstraZeneca

Scientist, Data Science

Waltham, MA · On-site

Analytical Support: Apply analytical methods and machine learning algorithms to help identify ... Prior experience or internship in the pharmaceutical or biotechnology industry. * Prior experience ...

AstraZeneca

Scientist, Data Science

Waltham, MA

Analytical Support: Apply analytical methods and machine learning algorithms to help identify ... Prior experience or internship in the pharmaceutical or biotechnology industry. * Prior experience ...

AstraZeneca

Scientist, Data Science

Waltham, MA · On-site

Analytical Support: Apply analytical methods and machine learning algorithms to help identify ... Prior experience or internship in the pharmaceutical or biotechnology industry. * Prior experience ...

Newton Research

Data Scientist

Boston, MA

$160K - $180K/yr

Strong foundation in data analysis, statistical modeling, and machine learning concepts ... Experience in projects or internships involving collaboration with teams is a plus. * Experience in ...

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All JobsData Analytics Graduate JobsInternship Data Analytics Graduate JobsInternship Data Analytics Graduate Jobs in Boston, MA

Internship Data Analytics Graduate information

See Boston, MA salary details

$13

$24

$45

How much do internship data analytics graduate jobs pay per hour?

As of Aug 14, 2026, the average hourly pay for internship data analytics graduate in Boston, MA is $24.45, according to ZipRecruiter salary data. Most workers in this role earn between $18.80 and $26.63 per hour, depending on experience, location, and employer.

What is an internship data analytics graduate?

An Internship Data Analytics Graduate is a recent graduate or current student who participates in a temporary position focused on analyzing and interpreting data to help organizations make informed decisions. This role typically involves working with data collection, cleaning, and visualization tools, as well as statistical analysis and reporting. Interns in data analytics often gain hands-on experience with software like Excel, SQL, Python, or R, and develop skills that prepare them for full-time roles in data analysis or related fields.

What types of projects and responsibilities can I expect during an internship data analytics graduate?

As a Data Analytics Graduate Intern, you’ll typically work on projects involving data collection, cleaning, and analysis to support business decisions. You may assist in building dashboards, generating reports, and collaborating with senior analysts and cross-functional teams to identify trends and present actionable insights. Expect to use tools like Excel, SQL, and Python or R, and to participate in team meetings where your findings may directly impact ongoing projects. This hands-on experience not only develops your technical skills but also gives you exposure to real-world business challenges and collaborative problem-solving.

What are the key skills and qualifications needed to thrive as an internship data analytics graduate, and why are they important?

To thrive as an Internship Data Analytics Graduate, you need a solid understanding of statistics, data analysis, and problem-solving, typically supported by coursework in mathematics, computer science, or related fields. Familiarity with data analytics tools such as Excel, SQL, Python or R, and data visualization platforms like Tableau is commonly expected. Effective communication, attention to detail, and a willingness to learn help interns stand out in collaborative and fast-paced environments. These skills and qualities enable interns to extract meaningful insights from data, contribute to team projects, and support informed decision-making.

What is the difference between Internship Data Analytics Graduate vs Data Analyst?

AspectInternship Data Analytics GraduateData Analyst
Required CredentialsTypically pursuing or recently completed a degree in data analytics, statistics, or related fieldsBachelor's degree in data science, statistics, or related field; some roles prefer or require certifications
Work EnvironmentInternship setting, often part-time or temporary, focused on learning and support tasksFull-time professional role with independent project responsibilities
Employer & Industry UsageUsed by companies for entry-level training, often in tech, finance, or consulting sectorsEstablished role across industries like finance, healthcare, marketing, and technology

The main difference between an Internship Data Analytics Graduate and a Data Analyst is experience and responsibility level. Internships are designed for students or recent graduates gaining practical skills, while Data Analysts are full-time professionals handling complex data projects independently.

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

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

What cities near Boston, MA are hiring for Internship Data Analytics Graduate jobs?

Cities near Boston, MA with the most Internship Data Analytics Graduate job openings:

Internship Data Analytics Graduate jobs near you

Associate Director/Director - Tech Consulting (Pharma/Lifesciences)

Tiger Analytics Inc.

Boston, MA • On-site

Full-time

Re-posted 24 days ago

Job description

Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning, and AI. Our business value and leadership have been recognized by various market research firms, including Forrester and Gartner.

We are looking for highly experienced and strategic leader to drive Commercial Data and Analytics initiatives.

RESPONSIBILITIES:

    • Data Analytics & Strategy: Lead the application of the latest data science techniques and advanced analytics approaches to solve complex business problems in the Pharma and Life Science domain.
    • Stakeholder & Solution Design: Work directly with client stakeholders to translate high-level business problems into detailed, high-level analytics solution designs.
    • Leadership & Execution: Lead strategic efforts in omni-channel analytics, helping the business optimize its marketing, sales, and digital engagements across various touch points in the commercial pharmaceutical sector.
    • Business Intelligence (BI) & Analytics: Lead the design and delivery of advanced analytical and Business Intelligence (BI) products, focusing on metrics design, reporting, and leveraging data best practices to drive informative decisions.
    • Data Management & Engineering (DE): Oversee and guide data architectures, ensuring a strong emphasis on data quality, data integrity, and compliance with commercial data management frameworks.
    • Commercial Expertise: Apply extensive experience in core commercial pharma areas such as omni-channel strategy, customer journey mapping, and marketing effectiveness.
    • Client Engagement: Serve as a key analytics consulting leader, working closely with senior client stakeholders to understand business requirements, design solutions, and drive cross-functional collaboration.

Requirements

  • 12-16 years of professional work experience with at least 8 years in data analytics
  • Ability to engage with executive/VP level stakeholders from client's team to translate business problems to high level analytics solution approach
  • Solid understanding of statistical and machine learning algorithms
  • Strong project management and team management skills and ability to work with global teams.
  • Fluency and extensive working experience with various pharmaceutical data sources, including: Claims and Prescriber data (e.g., IQVIA Xponent, Plantrak, LAAD, PE), Execution data (e.g., Veeva CRM), Real-World Data (RWD) sources such as TriNetX, Flatiron, Optum, and Komodo. Specialty Pharmacy data and Payer Formulary (MMIT) data.
  • Graduate in Business Analytics or MBA or equivalent work experience

Benefits

Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging and entrepreneurial environment, with a high degree of individual responsibility.

Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.

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