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Internship Meta Data Analyst Jobs in Seattle, WA

At Meta, we are experiencing an extraordinary wave of innovation in automation and intelligent tools that is transforming how we drive impact through data & analytics. As a data analyst in global ...

Meta designs, builds, and operates some of the most advanced and efficient data center ... and opportunities by analyzing regional and site - specific information pertaining to (i ...

Meta designs, builds, and operates some of the most advanced and efficient data center ... and opportunities by analyzing regional and site - specific information pertaining to (i ...

As a Data Engineer at Meta, you will shape the future of people-facing and business-facing products ... This could include roles such as data analyst, data scientist, data engineer, or similar positions ...

As a Data Engineer at Meta, you will shape the future of people-facing and business-facing products ... This could include roles such as data analyst, data scientist, data engineer, or similar positions ...

As a Data Engineer at Meta, you will shape the future of people-facing and business-facing products ... This could include roles such as data analyst, data scientist, data engineer, or similar positions ...

As a Data Engineer at Meta, you will shape the future of people-facing and business-facing products ... This could include roles such as data analyst, data scientist, data engineer, or similar positions ...

Meta designs, builds, leases, and operates highly efficient data centers. Locating, developing, and ... Proficiency in standard document and analytics platforms Preferred Qualifications: * Demonstrated ...

As a Data Scientist at Meta, you will shape the future of people-facing and business-facing ... By applying your technical skills, analytical mindset, and product intuition to one of the richest ...

As a Data Scientist at Meta, you will shape the future of people-facing and business-facing ... By applying your technical skills, analytical mindset, and product intuition to one of the richest ...

As a Data Scientist at Meta, you will shape the future of people-facing and business-facing ... By applying your technical skills, analytical mindset, and product intuition to one of the richest ...

As a Data Scientist at Meta, you will shape the future of people-facing and business-facing ... By applying your technical skills, analytical mindset, and product intuition to one of the richest ...

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Internship Meta Data Analyst information

See Seattle, WA salary details

$13

$25

$47

How much do internship meta data analyst jobs pay per hour?

As of Aug 9, 2026, the average hourly pay for internship meta data analyst in Seattle, WA is $25.61, according to ZipRecruiter salary data. Most workers in this role earn between $19.71 and $27.88 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an internship meta data analyst?

To thrive as an Internship Meta Data Analyst, you need a solid understanding of data analysis, database concepts, and metadata management, often supported by coursework in computer science, information systems, or a related field. Familiarity with tools such as SQL, Excel, Python, and metadata management platforms is typically required. Attention to detail, analytical thinking, and effective communication are crucial soft skills in this role. These skills are essential for accurately organizing, interpreting, and presenting metadata to support data-driven decision-making within organizations.

What is an internship meta data analyst?

Internship Meta Data Analysts are interns who assist organizations in collecting, organizing, and analyzing data about data—referred to as metadata. Their role typically involves working with large datasets, ensuring accuracy and consistency of data labels, and supporting data-driven decision-making processes. These interns may also help develop systems for managing metadata, improve data quality, and support various business or research projects. The internship provides hands-on experience in data analytics and helps build foundational skills for a career in data science or information management.

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

AspectInternship Meta Data AnalystData Analyst
Required CredentialsCurrently pursuing or recently completed a degree in data science, statistics, or related fieldBachelor's or master's degree in data science, statistics, or related field
Work EnvironmentInternship setting, often part-time or temporary, in tech or data-driven companiesFull-time or part-time roles in various industries like finance, healthcare, or tech
Employer & Industry UsageUsed by companies for training and entry-level talent in data and tech sectorsWidely employed across industries for data analysis and decision-making

The main difference is that an Internship Meta Data Analyst is an entry-level, temporary position aimed at gaining experience, while a Data Analyst is a full-time role requiring more experience and responsibilities. Internships serve as a stepping stone into the data industry, whereas Data Analysts typically handle ongoing data projects and analysis tasks.

What are some common challenges faced by internship meta data analysts, and how can they effectively overcome them?

Internship Meta Data Analysts often encounter challenges such as managing large volumes of complex data, ensuring data accuracy, and adapting to rapidly changing project requirements. To overcome these obstacles, it's helpful to develop strong organizational skills, seek guidance from experienced team members, and utilize data management tools provided by the company. Open communication and proactive problem-solving can also help interns navigate the learning curve and contribute effectively to the team.
Infographic showing various Internship Meta Data Analyst job openings in Seattle, WA as of July 2026, with employment types broken down into 33% Internship, 34% Full Time, and 33% Part Time. Highlights an 100% In-person job distribution, with an average salary of $53,270 per year, or $25.6 per hour.

Data Analyst, Global Operations

Meta

Seattle, WA

$125K/yr

Full-time

Posted 5 days ago


Meta rating

7.8

Company rating: 7.8 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

136th of 242 rated software companies


Job description

At Meta, we are experiencing an extraordinary wave of innovation in automation and intelligent tools that is transforming how we drive impact through data & analytics. As a data analyst in global operations, you’ll have the opportunity to combine your analytical expertise with an AI-first mindset to design and deploy analytical solutions that drive strategic decision-making and operational efficiency at a global scale. You will partner with operational, data science, data engineering, and product teams globally to optimize processes, automate workflows, provide data-driven insights, and uplift the team’s proficiency in leveraging new technologies.
Data Analyst, Global Operations Responsibilities:
  • Partner with operations, data science, engineering, and product teams to address complex business challenges through AI-first analytical strategies and solutions
  • Build, maintain, and optimize scalable data pipelines, dashboards, automated reports, and self-service tools for teams across Meta
  • Champion the adoption and integration of AI tooling within analytics workflows, educating and uplifting team proficiency in modern solutions and innovative thinking
  • Communicate complex insights clearly to technical and non-technical stakeholders, influencing decisions and business outcomes
  • Continuously explore and experiment with emerging technologies and automation methods to advance the team’s analytics offerings

Minimum Qualifications:
  • 7+ years of experience in analytics, operations, product, engineering, or related fields—ideally within deadline-focused tech environments or consulting
  • Bachelor’s degree in a quantitative discipline such as Computer Science, Data Science, Statistics, Mathematics, Operations Research, or equivalent practical experience
  • Advanced proficiency in SQL, and experience with Python, for data analysis and automation
  • Proven experience building and deploying scalable data pipelines and productionizing dashboards using BI tools (e.g., Tableau)
  • Track record of proactively using AI tools to drive productivity and innovation across projects and teams (bonus for championing AI adoption and education within teams)
  • Solid understanding of statistical analysis with practical application to real-world business problems
  • Demonstrated ability to independently manage analytics projects end-to-end, from problem definition to business adoption and impact measurement

Preferred Qualifications:
  • Master’s degree or higher in a quantitative discipline such as Data Science, Statistics, Mathematics, Computer Science, or a related field
  • Hands-on experience with AI/ML model development, deployment, and/or integration

About Meta:
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.
$125,000/year to $178,000/year + bonus + equity + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

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