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Internship Meta Data Analyst Jobs in Remote, OR (NOW HIRING)

Azurity Pharmaceuticals, Inc.

Data Engineer

OR · On-site +1

$107K - $128K/yr

... with analytics platforms * Participate in data requirements, modelling and testing * Tasks & responsibilities: * Provide technical support related to data structures, data models and meta data ...

Kynite

Azure Platform Lead/ Architect

OR · Remote

$65 - $84.75/hr

Blockchain, Cloud Services, Big Data & Analytics, Artificial Intelligence, Enterprise, Staff ... meta store implementation. Resource and security management on Azure services. Good hands-on ...

Kynite

Azure Platform Lead/ Architect

OR · On-site +1

$59.50 - $77.50/hr

Blockchain, Cloud Services, Big Data & Analytics, Artificial Intelligence, Enterprise, Staff ... meta store implementation. • Resource and security management on Azure services. • Good hands ...

CLIQCREATOR INC

Be Seen First

Ad Operations Coordinator

OR · Remote

$30/hr

Ensure data accuracy and consistency across platforms * Support analysis by identifying ... Familiarity with platforms like Canva, Google Ads, or Meta Ads Manager is a plus * Basic ...

CLIQCREATOR INC

Be Seen First

Ad Operations Coordinator

OR · Remote

$30/hr

Ensure data accuracy and consistency across platforms * Support analysis by identifying ... Familiarity with platforms like Canva, Google Ads, or Meta Ads Manager is a plus * Basic ...

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Internship Meta Data Analyst information

See Remote, OR salary details

$12

$22

$42

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

As of Sep 13, 2026, the average hourly pay for internship meta data analyst in Remote, OR is $22.48, according to ZipRecruiter salary data. Most workers in this role earn between $17.31 and $24.47 per hour, depending on experience, location, and employer.

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 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 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.

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.

Internship Meta Data Analyst jobs near you
Infographic showing various Internship Meta Data Analyst job openings in Remote, OR as of July 2026, with employment types broken down into 86% Full Time, 8% Part Time, 1% Temporary, and 5% Contract. Highlights an 77% Physical, 6% Hybrid, and 17% Remote job distribution, with an average salary of $46,763 per year, or $22.5 per hour.

Data Engineer

OR • On-site, Remote

Azurity Pharmaceuticals, Inc.
Pharmaceutical and Medicine Manufacturing • 11 - 50 employees
Learn more about Azurity Pharmaceuticals, Inc.external

$107K - $128K/yr

Full-time

Re-posted 24 days ago

Job description

  • Azurity Pharmaceuticals, Inc. is a fast-growing pharmaceutical company focusing on the needs of patients requiring customized, user-friendly drug formulations, especially children and the elderly. Azurity's products have benefited millions of patients whose needs are not served by other commercially available therapies. For more information, visit www.azurity.com.
    Azurity's success is attributable to our incredibly talented, dedicated team that focuses on benefiting the lives of patients by bringing the best science and commitment to quality into everything that we do.
  • Mission:
    • Implement the data models and data structures needed for each use case as defined by the Data Architect, in the most convenient format to be used by the Data Scientist
    • Own the structural elements of data, e.g., data storage, data piping, interfacing with analytics platforms
    • Participate in data requirements, modelling and testing
  • Tasks & responsibilities:
    • Provide technical support related to data structures, data models and meta data management to relevant stakeholders
    • Creates data models, providing the right format and structure for the use case solutions
    • Participate in early data modeling and testing for use case development, provide input on how to improve proposed solutions and implement necessary changes
    • Extract relevant data to solve analytical problems; ensure development teams have the required data
    • Interact with the business ([function]) to understand all data requirements to develop business insights and translates them into data structures and data models, in close collaboration with Data Architect
    • Work closely with IT/IM teams on internal data acquisition (e.g., CRM, ERP) and with Data Architect for external data acquisition
  • Knowledge & experience:
    • 5+ years' experience with advanced data management systems (e.g., PostgreSQL, etc.)
    • Deep expertise in data modeling and structuring
    • Experience in high volume data environments
    • Ability to quickly learn new technologies
    • Developing and maintaining formal documentation that describes data and data structures including data modelling
    • Strong attention to detail and an ability to think critically and conceptually
    • Team oriented and flexible with proven track record in collaborating with multiple stakeholders
    • Strong verbal and written

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