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Quantitative Analytics Intern Jobs in Atlanta, GA

... quantitative research project desired (e.g. stats or econometrics term papers) * Excellent ... Minor in data analytics, statistics * Experience with Tableau and SQL Additional Information Due to ...

New

... quantitative research project desired (e.g. stats or econometrics term papers) * Excellent ... Minor in data analytics, statistics * Experience with Tableau and SQL Additional Information Due to ...

New

Sales Research Assistant Intern

Dunwoody, GA · On-site

$14.75 - $20/hr

... size • Analyze sales and marketing data to uncover trends in prospect engagement • Support ... very quantitative, highly inquisitive • Proficiency with social media (LinkedIn, Facebook ...

... size Analyze sales and marketing data to uncover trends in prospect engagement Support broader ... quantitative, highly inquisitive Proficiency with social media (LinkedIn, Facebook, Twitter ...

Showing results 21-40

Quantitative Analytics Intern information

What does a quantitative analytics intern do?

A Quantitative Analytics Intern typically supports teams by analyzing large data sets, building statistical models, and developing algorithms to solve business problems. Their work often involves using programming languages like Python or R, and tools such as Excel or SQL, to gather insights from data. Interns may assist in financial modeling, risk assessment, or market research, depending on the industry. This role provides hands-on experience in applying quantitative methods to real-world problems, preparing students for future careers in finance, technology, or data science.

What types of projects or tasks can a quantitative analytics intern expect to work on during their internship?

As a Quantitative Analytics Intern, you can expect to work on a variety of data-driven projects, such as building statistical models, analyzing financial or operational datasets, and assisting in the development of forecasting tools. Interns often collaborate with experienced quantitative analysts and data scientists, contributing to real-world problem-solving for business or investment strategies. The role typically involves coding, data cleaning, and presenting findings to team members, offering a comprehensive introduction to quantitative methods in a professional setting.

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

To excel as a Quantitative Analytics Intern, you need strong analytical and mathematical skills, familiarity with statistical concepts, and coursework or a degree in quantitative fields such as mathematics, finance, or engineering. Proficiency with tools like Python, R, SQL, and data visualization software, as well as experience with statistical modeling or machine learning libraries, is highly valued. Effective communication, problem-solving abilities, and attention to detail set outstanding interns apart in collaborative and fast-paced environments. These skills are vital for accurately analyzing complex data, presenting insights, and supporting data-driven decision-making within organizations.

Summer 2027 Internship - RWE Data Scientist - Virtual

Stryker

Atlanta, GA • On-site

$35/hr

Other

Posted 17 hours ago

Posted today


Stryker rating

8.2

Company rating: 8.2 out of 10

Based on 112 frontline employees who took The Breakroom Quiz

131st of 495 rated machine equipment manufacturers


Job description

What You Get Out of the Internship

At Stryker, we believe that developing the next generation of talent is just as important as developing life-changing medical technologies. As an intern, you won’t just observe — you’ll contribute to meaningful projects, gain exposure to leaders who will mentor you, and experience a culture of innovation and teamwork that is shaping the future of healthcare. As an intern, you will:

  • Apply classroom knowledge and gain experience in a fast-paced and growing industry setting
  • Implement new ideas, be constantly challenged, and develop your skills
  • Network with key/high-level stakeholders and leaders of the business
  • Be a part of an innovative team and culture
  • Experience documenting complex processes and presenting them in a clear format

Who We Want

Challengers. People who seek out the hard projects and work to find just the right solutions.

Teammates. Partners who listen to ideas, share thoughts and work together to move the business forward.

Charismatic networkers. Relationship-savvy people who intentionally make connections with both internal partners and external contacts.

Strategic thinkers. Interns who propose innovative ideas and consistently exceed their performance objectives.

Customer-oriented achievers. Individuals with an unparalleled work ethic and customer-focused attitude who bring value to their partnerships.

Game changers. Persistent interns who will stop at nothing to live out Stryker’s mission to make healthcare better.

Opportunities Available

As a Real-World Evidence Data Science intern at Stryker, you will:

  • Work cross functionally with different departments including Clinical Affairs, Health Economics & Outcomes Research (HEOR), Regulatory Affairs, and Marketing to support real-world evidence generation programs
  • Assist in the design and execution of observational studies using claims (e.g., Premier PINC AI, NIS) and other real-world data sources
  • Support data extraction, cleaning, and analysis of structured and unstructured healthcare data, including applying NLP techniques to unstructured billing/clinical data
  • Prepare literature review summaries and evidence syntheses to support publication and regulatory submission efforts
  • Build and refine statistical models (e.g., propensity matching, survival analysis) under the mentorship of the RWE Research team
  • Shadow cross-functional team meetings to gain exposure to how RWE informs regulatory, reimbursement, and commercial strategy

What You Need

Required:

  • Currently pursuing a Master’s degree in Biostatistics, Epidemiology, Health Services Research, Health Economics and Outcomes Research (HEOR), Health/Biomedical Informatics, Data Science, or a related quantitative field; must remain enrolled in a degree-seeking program after the internship
  • Cumulative 3.0 GPA or above (verified at time of hire)
  • Must be legally authorized to work in the U.S. and not require employment-based sponsorship now or in the future
  • Proficiency in SQL and at least one statistical/analytical programming language (Python or R)
  • Coursework or applied project experience with observational/real-world data (claims, EHR, or registry data)
  • Strong written and verbal communication skills, with proven ability to collaborate and build relationships
  • Demonstrated leadership, problem-solving, and organizational skills with the ability to manage multiple priorities
  • Proficiency in Microsoft Office (Excel, Word, PowerPoint) and eagerness to learn in a dynamic environment

Preferred:

  • Prior exposure to claims databases (Medicare, MarketScan, Premier PINC AI, Optum) or EHR data structures
  • Familiarity with causal inference methods (propensity score matching, instrumental variables) and/or survival analysis
  • Experience with NLP applied to unstructured healthcare text
  • Prior coursework, thesis, or practicum work in a medtech, pharma, or payer setting

$20 min hourly wage – $35 max hourly wage, sign-on bonus, 11 paid holidays annually, and either paid corporate housing or a living stipend, dependent upon hiring location

Stryker is a global leader in medical technologies and, together with its customers, is driven to make healthcare better. The company offers innovative products and services in MedSurg, Neurotechnology, Orthopaedics and Spine that help improve patient and healthcare outcomes. Alongside its customers around the world, Stryker impacts more than 150 million patients annually.


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