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Internship Meta Data Analyst Jobs (NOW HIRING)

Thunkable

Sr. Data Analyst

$88K - $111K/yr

Google Ads, Meta ads, Payment systems, Amplitude, etc.) • Document data architecture, key components, and data flows to ensure clarity • Collaborate across teams to query and analyze data from ...

West Advanced Technologies (WATI)

Data Modeler

Sacramento, CA · On-site

$50.75 - $65.75/hr

Three (3) years of demonstrated experience evaluating data using statistical analysis techniques ... Meta data and utilizing ETL tools to load a data store, data shares, data warehouse, or data mart.

Meta

Principal, Strategic Data Center Partnerships

$202K/yr

Meta is seeking a Principal, Strategic Data Center Partnerships to develop Meta's global data ... Analytical problem-solving skills, experience being effective in a fast paced, hands-on work ...

Thunkable

Sr. Data Analyst

San Francisco, CA · On-site

$90K - $130K/yr

Google Ads, Meta ads, Payment systems, Amplitude, etc.) - Document data architecture, key components, and data flows to ensure clarity. - Collaborate across teams to query and analyze data from ...

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

As of Jun 19, 2026, the average hourly pay for internship meta data analyst in the United States is $22.50, according to ZipRecruiter salary data. Most workers in this role earn between $17.31 and $24.52 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Internship Meta Data Analyst, and why are they important?

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 are Internship Meta Data Analysts?

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.
More about Internship Meta Data Analyst jobs
What cities are hiring for Internship Meta Data Analyst jobs? Cities with the most Internship Meta Data Analyst job openings:
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Internship Meta Data Analyst jobs near you
Infographic showing various Internship Meta Data Analyst job openings in the United States as of June 2026, with employment types broken down into 4% Internship, 90% Full Time, and 6% Part Time. Highlights an 85% Physical, 1% Hybrid, and 14% Remote job distribution, with an average salary of $46,809 per year, or $22.5 per hour.
Sr. Data Analyst

Sr. Data Analyst

Thunkable

Remote

$88K - $111K/yr

Full-time

Posted 9 days ago

Job description

Job Summary:
Thunkable is seeking a Senior Data Analyst to join our Data & Analytics team who can bridge analytics and data foundations. In this role, you’ll analyze data to generate insights and help connect and organize data from multiple sources to improve decision-making across the business.
Responsibilities:
• Collaborate with engineers to add, validate and maintain event tracking within React-based interfaces
• Improve data reliability by identifying and troubleshooting tracking issues that impact data integrity
• Partner with cross-functional teams to collect and shape business requirements into scalable data architecture and process improvements that enable cross-team integration, automation and efficient data flow. (eg. Google Ads, Meta ads, Payment systems, Amplitude, etc.)
• Document data architecture, key components, and data flows to ensure clarity
• Collaborate across teams to query and analyze data from Amplitude and other SQL/NoSQL systems within our current data ecosystem
• Conduct product and marketing analyses (such as funnels, cohort analyses, and user segmentation) to uncover actionable insights
• Develop and monitor key metrics, including setting up automated dashboards and recurring reports
• Lead data initiatives and experimentation, defining measurement approaches and evaluating success
Qualifications:
Required:
• BA/BS degree or above in a related field or equivalent experience required
• 3+ years of work experience in data science, data analytics or other quantitative roles, with a track record of successfully delivering data analytics projects
• Experience with building and maintaining data pipelines and integrations across multiple systems (eg. Amplitude, Google Ads, Meta Ads, payment processors, CRM tools)
• Experience with event tracking instrumentation and collaborating with engineering teams to validate and maintain analytics implementations
• Experience with handling real-time and historical data from the ground up, including data cleaning, data processing, analyzing, modeling, insights delivery and execution strategy
• Experience in data queries and statistical programming tools (SQL, R, Python, etc.)
• Experience with product and marketing analytics and digital optimization tools (Amplitude, Google Analytics, etc.)
• You have strong analytical and problem-solving skills, with a keen attention to detail
• You are a good communicator and can explain complex analyses using visualization and storytelling to both technical and non-technical audiences
• You are a self-starter who thrives in a start-up environment and has a strong follow-through
Preferred:
• Experience with improving data pipelines, data storage and analytical frameworks
• Event tracking (eg. Javascript, Google tag manager)
• Javascript and React
Company:
Thunkable makes a drag-and-drop programming tool to allow anyone to make beautiful, native mobile apps. Founded in 2015, the company is headquartered in San Francisco, USA, with a team of 51-200 employees. The company is currently Growth Stage.

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