Metadata Analyst Job Description [Updated for 2025]

In the world of data-driven decision making, the significance of metadata analysts has never been higher.

As data continues to proliferate, the demand for skilled professionals who can organize, interpret, and protect our metadata escalates.

But let’s delve deeper: What’s truly expected from a metadata analyst?

Whether you are:

• A job seeker trying to understand the core responsibilities of this role,
• A hiring manager outlining the perfect candidate,
• Or simply fascinated by the intricacies of metadata analysis,

You’re in the right place.

Today, we present a customizable metadata analyst job description template, designed for effortless posting on job boards or career sites.

Let’s dive right into it.

Metadata Analyst Duties and Responsibilities

Metadata Analysts use their knowledge of data analysis and management to catalog, classify, and record metadata so it can be effectively used by the organization.

They play a critical role in data quality, governance, and privacy.

The duties and responsibilities of a Metadata Analyst include:

• Collecting, analyzing, and managing metadata from various sources
• Developing and implementing metadata standards and best practices
• Using metadata management software to manage and update metadata repositories
• Collaborating with data architects, modelers, and IT team members to ensure that data is stored, managed, and used effectively
• Conducting data profiling to uncover data anomalies and inconsistencies
• Creating data dictionaries and other documentation related to metadata
• Assisting in data governance and data quality initiatives
• Monitoring and resolving metadata related issues
• Contributing to metadata management strategies and roadmaps
• Providing training and support to staff on metadata related topics

 

Metadata Analyst Job Description Template

Job Brief

We are seeking a detail-oriented Metadata Analyst to join our team.

The Metadata Analyst will be responsible for creating and managing the metadata of our digital assets to enhance discovery and usage.

The ideal candidate will have a good understanding of data analysis techniques and experience in metadata standards, data modeling, and content management systems.

Ultimately, the role of the Metadata Analyst is to ensure high-quality metadata to support the organization’s goals and user needs.

 

Responsibilities

• Create and manage metadata for digital assets
• Develop and maintain metadata standards and best practices
• Perform data analysis to evaluate the effectiveness of metadata
• Work closely with other teams to understand and meet their metadata needs
• Identify and implement metadata enhancements
• Participate in content management system development and enhancements
• Provide training and support to staff on metadata creation and management
• Ensure data privacy and protection guidelines are followed

 

Qualifications

• Proven experience as a Metadata Analyst or similar role
• Knowledge of metadata standards and data modeling techniques
• Experience working with content management systems
• Strong analytical and problem-solving skills
• Attention to detail and accuracy
• Ability to work independently and as part of a team
• Strong communication and training skills
• BSc degree in Information Management, Computer Science, or relevant field

 

Benefits

• 401(k)
• Health insurance
• Dental insurance
• Retirement plan
• Paid time off
• Professional development opportunities

 

Additional Information

• Job Title: Metadata Analyst
• Work Environment: Office setting with options for remote work. Occasional travel may be required for team meetings or training.
• Reporting Structure: Reports to the Information Management Lead or Data Manager.
• Salary: Salary is based upon candidate experience and qualifications, as well as market and business considerations.
• Pay Range: $65,783 minimum to $95,041 maximum
• Location: [City, State] (specify the location or indicate if remote)
• Employment Type: Full-time
• Equal Opportunity Statement: We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
• Application Instructions: Please submit your resume and a cover letter outlining your qualifications and experience to [email address or application portal].

 

What Does a Metadata Analyst Do?

Metadata Analysts are IT professionals that typically work in industries such as business, technology, and healthcare.

They can also be a part of data management teams in various organizations.

Their primary role is to manage and organize data, ensuring that it is accurately and effectively categorized.

They do this by creating, implementing and maintaining data standards and procedures.

Metadata Analysts use various tools and technologies to develop metadata standards, create data dictionaries, and implement data governance practices.

They often work with other data professionals to ensure that data is accurate, reliable, and accessible.

They are also responsible for data analysis and reporting, using data to identify trends, patterns, and insights that can be used to support business decision-making.

Metadata Analysts may also be involved in data modeling, helping to design and implement databases and data systems.

They may work with other IT professionals to integrate new data systems and ensure that existing systems are up-to-date and effective.

In addition, they may provide training to other employees on data management and governance practices, helping to ensure that everyone in the organization understands the importance of data and how to use it effectively.

 

Metadata Analyst Qualifications and Skills

Metadata Analysts utilize a mix of technical and analytical skills, as well as industry knowledge to process and analyze data, such as:

• Thorough understanding of metadata standards and data modeling principles to ensure consistency and accuracy in data records.
• Strong analytical skills to review, interpret and draw insights from complex data sets.
• Technical skills for managing databases, programming, and using data-related software tools.
• Excellent attention to detail for identifying discrepancies or inconsistencies in data records.
• Ability to collaborate with cross-functional teams, communicating effectively with data engineers, data scientists, and other IT professionals.
• Problem-solving skills for identifying and resolving issues related to data quality and integrity.
• Project management skills to oversee data-related projects from inception to completion, ensuring deadlines are met.
• Understanding of data privacy regulations and best practices to ensure data compliance.

 

Metadata Analyst Experience Requirements

Metadata Analysts generally require 1 to 2 years of experience in a related field, often gained through internships, part-time roles, or other positions dealing with data analysis or management.

Experience with data-related software tools, such as SQL, XML, and Excel is often necessary.

Candidates with more than 3 years of experience usually have developed a deeper understanding of data schemas, metadata, data governance, and data quality control.

They may also have gained experience with specific industry standards and best practices related to metadata management.

Those with more than 5 years of experience often have had exposure to a variety of metadata frameworks and tools.

They may have been involved in creating and managing metadata repositories, setting data standards, and leading data quality initiatives.

At this stage, they may have leadership experience and could be ready for a senior or managerial role in Metadata Analysis.

 

Metadata Analyst Education and Training Requirements

A Metadata Analyst typically requires a bachelor’s degree in information science, data management, computer science, or a related field.

They should have a strong understanding of database structures, theories, principles, and practices.

Familiarity with metadata management, data modeling, and data governance is also required.

Many positions may require a Metadata Analyst to have a master’s degree in Information or Data Science, especially for roles involving complex data analysis or data management strategies.

Certifications in data management, such as Certified Data Management Professional (CDMP), or in specific metadata management tools, can enhance a Metadata Analyst’s professional standing and are highly desirable by employers.

Practical experience, whether gained through internships, previous employment, or similar, is highly valued.

This enables the analyst to apply their theoretical knowledge and also displays their capability to operate within a team and meet deadlines.

Continued learning is vital for a Metadata Analyst, as they need to stay updated with the latest database systems, metadata standards, and data governance policies.

 

Metadata Analyst Salary Expectations

A Metadata Analyst typically earns an average salary of $77,375 (USD) per year.

However, this can vary depending on factors such as the amount of experience, the level of education, the size and industry of the employing company, and the geographical location.

 

Metadata Analyst Job Description FAQs

What skills does a Metadata Analyst need?

Metadata Analysts should possess strong analytical skills to understand and interpret complex data structures.

They need to have an eye for detail to ensure data accuracy.

Proficiency in data management tools and database languages, such as SQL, is also necessary.

Strong communication skills are essential as they often need to present complex information in a clear and understandable manner.

 

Do Metadata Analysts need a degree?

While some employers might accept substantial work experience in place of formal education, a bachelor’s degree in Computer Science, Information Systems, or a related field is often required for a Metadata Analyst role.

Some employers prefer candidates with a master’s degree in these fields, or relevant postgraduate qualifications.

 

What should you look for in a Metadata Analyst resume?

When reviewing a Metadata Analyst’s resume, look for a strong background in data analysis and experience with data management tools.

They should have experience in data modeling, SQL, and other database languages.

Additionally, a good Metadata Analyst will demonstrate project management skills, as well as the ability to work in a team and communicate effectively.

 

What qualities make a good Metadata Analyst?

A good Metadata Analyst possesses strong analytical skills and a keen eye for detail.

They are proactive problem-solvers, able to identify inconsistencies in data and find appropriate solutions.

They are self-motivated, capable of handling multiple projects at once and meeting deadlines.

Good Metadata Analysts are also excellent communicators, capable of explaining complex technical information in an understandable manner.

 

What are the daily duties of a Metadata Analyst?

A typical day for a Metadata Analyst involves reviewing data for inconsistencies and inaccuracies, creating and implementing data standards, and analyzing data structures to determine their effectiveness.

They may also participate in data modeling activities and liaise with different teams or departments to understand their data needs.

Developing reports to present their findings and recommendations is also a regular task for a Metadata Analyst.

 

Conclusion

And there we have it.

Today, we’ve delved into the intricate world of a metadata analyst.

Surprising, isn’t it?

It’s not just about managing data.

It’s about weaving a web of information, one data point at a time.

With our comprehensive metadata analyst job description template and real-world examples, you’re poised and ready to move forward.

But why stop there?

Explore further with our job description generator. It’s your essential tool for creating meticulous listings or fine-tuning your resume to precision.

Keep in mind:

Every piece of data forms part of the greater information tapestry.

Let’s weave that future. Together.

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