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Internship Facebook Data Analyst Jobs in Washington

... internship or full-time experience in marketing analytics, digital analytics, social listening, communications research, campaign measurement, or a related field. Experience working with data in ...

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Internship Facebook Data Analyst information

What does an internship Facebook data analyst do?

An Internship Facebook Data Analyst assists with collecting, analyzing, and interpreting data to help inform business decisions at Meta (Facebook). They typically work with large datasets, use analytical tools like SQL and Python, and collaborate with other teams to provide insights on user behavior and product performance. Interns may also help design experiments, create dashboards, and present findings to stakeholders. This role provides hands-on experience in data analytics within a fast-paced tech environment.

What kind of projects or tasks can an intern expect to work on as a Facebook data analyst?

As a Facebook Data Analyst intern, you can expect to work on projects involving data collection, cleaning, and analysis to support various business or product goals. Typical tasks include building dashboards, running exploratory data analysis, and generating actionable insights from large datasets. Interns often collaborate closely with product managers, engineers, and other analysts to help inform product decisions and improve user experiences. The environment is fast-paced and encourages learning new analytical tools and data visualization techniques.

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

To thrive as a Facebook Data Analyst intern, you need strong analytical skills, a background in statistics or data science, and proficiency in data querying languages like SQL. Familiarity with tools such as Excel, Tableau, and Facebook’s proprietary analytics platforms, along with experience in Python or R, is highly valued. Outstanding problem-solving abilities, effective communication, and a collaborative mindset make candidates stand out in this role. These skills are crucial for accurately interpreting data, generating actionable insights, and supporting business decision-making within a fast-paced tech environment.

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

AspectInternship Facebook Data AnalystFacebook Data Analyst
Required CredentialsEnrolled in or recent graduate of relevant degree programsBachelor's or higher in data analysis, statistics, or related fields
Work EnvironmentInternship program, supervised, entry-level tasksFull-time, professional role, independent project work
Employer & Industry UsageInternship at Facebook, tech industryFull-time position at Facebook, tech industry
Common Search & ComparisonYesYes

The Internship Facebook Data Analyst is an entry-level, supervised role designed for students or recent graduates gaining initial experience. In contrast, a Facebook Data Analyst is a full-time professional position requiring more experience and independence. Internships often serve as a pathway to full-time roles within Facebook, with similar industry expectations but differing in responsibilities and credentials.

Can I do a Facebook Data Analyst internship?

A Facebook Data Analyst internship typically requires relevant skills in data analysis, proficiency with tools like Excel, SQL, or Python, and a background in fields such as statistics or computer science. Internships are often available to students or recent graduates and may require applying through Facebook's internship program or career portal. These internships provide hands-on experience in analyzing social media data and developing insights for the company.

Does Meta hire interns?

Yes, Meta offers internship programs, including roles such as Facebook Data Analyst interns. These internships typically require relevant skills in data analysis, proficiency with tools like Excel and SQL, and are available during summer and semester periods for students and recent graduates.

How to get an internship as a Facebook Data Analyst?

To secure an internship as a Facebook Data Analyst, candidates should have a strong foundation in data analysis, statistics, and SQL, along with familiarity with tools like Excel and data visualization software. Relevant coursework, a solid understanding of social media metrics, and experience with programming languages such as Python or R can improve chances. Applying through Facebook's internship programs or related tech company channels and demonstrating analytical skills in a portfolio or project work are also important steps.

Summer 2027 Internship - RWE Data Scientist - Virtual

Stryker

Annandale, VA • On-site, Remote

$35/hr

Temporary, Internship

Posted 4 days ago


Stryker rating

8.2

Company rating: 8.2 out of 10

Based on 112 frontline employees who took The Breakroom Quiz

134th of 499 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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