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Metadata Analyst Jobs in Indiana (NOW HIRING)

Onebridge

Snowflake Architect

Indianapolis, IN · On-site +1

$61 - $78.50/hr

Experience designing and supporting enterprise data strategies, including data governance, data quality, and metadata management practices. * Strong understanding of analytics enablement and ...

Onebridge

Snowflake Architect

Indianapolis, IN · On-site

$61 - $78.50/hr

Experience designing and supporting enterprise data strategies, including data governance, data quality, and metadata management practices. * Strong understanding of analytics enablement and ...

Onebridge

Snowflake Architect

Indianapolis, IN · On-site

$61 - $78.50/hr

Experience designing and supporting enterprise data strategies, including data governance, data quality, and metadata management practices. * Strong understanding of analytics enablement and ...

Cummins

Data Architect

Indianapolis, IN · On-site +1

$123K - $150K/yr

... based analytical platforms. * Cloud Data Architecture - Strong understanding of distributed data processing, ELT/ETL orchestration, event-driven ingestion (Kafka/Event Hub), metadata-driven ...

BC Forward

Data Engineer IV

Indianapolis, IN · On-site

$69 - $71/hr

Knowledge of metadata management, data cataloging, and lineage tools. Background in CX/CS operations and metrics; familiarity with Salesforce. Experience with digital analytics tools such as Google ...

Novocure

Data Architect

Zionsville, IN · On-site

$61.75 - $79.50/hr

... analytical workloads * Lead architecture decisions related to data governance, quality, metadata management, and master data management * Partner with business and technology leaders to identify ...

Novocure Inc

Data Architect

Indianapolis, IN · On-site

$61 - $78.50/hr

... analytical workloads * Lead architecture decisions related to data governance, quality, metadata management, and master data management * Partner with business and technology leaders to identify ...

MSD

... metadata, and schema to improve machine readability. * AI Search (GEO) Enablement: - Build and ... Performance & Analytics: - Define and track performance across SEO (rankings, CTR, organic traffic ...

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All JobsMetadata Analyst JobsMetadata Analyst Jobs in Indiana

Metadata Analyst information

See Indiana salary details

$29.5K

$69.7K

$123.7K

How much do metadata analyst jobs pay per year?

As of Jul 15, 2026, the average yearly pay for metadata analyst in Indiana is $69,712.00, according to ZipRecruiter salary data. Most workers in this role earn between $50,000.00 and $82,800.00 per year, depending on experience, location, and employer.

What is a Metadata Analyst job?

A Metadata Analyst is responsible for organizing, managing, and maintaining metadata—structured information about data—within an organization. They ensure that data assets are accurately categorized, labeled, and accessible, improving searchability and data governance. Their role often involves working with databases, content management systems, and metadata standards to enhance data quality and consistency. Additionally, they collaborate with IT, data management, and business teams to ensure metadata aligns with organizational goals.

Is 40 too old to become a data analyst?

Age is not a barrier to becoming a data analyst, as the role values skills in data manipulation, statistical analysis, and tools like Excel, SQL, and Python. Many professionals transition into data analysis later in their careers by gaining relevant certifications or training, regardless of age.

How much does a metadata analyst make?

A metadata analyst's salary typically ranges from $50,000 to $90,000 annually, depending on experience, location, and industry. Professionals with skills in data management tools and certifications may earn higher salaries, especially in larger organizations or tech-focused environments.

What kind of jobs in media bring in $150,000 a year?

In media, high-paying roles such as senior media analysts, media directors, or digital strategists can earn $150,000 or more annually. These positions often require extensive experience, advanced skills in data analysis or media planning, and proficiency with industry tools like analytics platforms or content management systems.

What are some typical challenges a Metadata Analyst might face in their daily work?

Metadata Analysts often encounter challenges such as managing large volumes of diverse data, ensuring metadata consistency across multiple systems, and navigating evolving data privacy regulations. Staying current with industry standards and adapting metadata frameworks to support new business needs can also be demanding. Working closely with IT, data governance, and business teams, Metadata Analysts must balance competing priorities and address data quality issues proactively. Overcoming these challenges helps enhance data findability, compliance, and overall organizational efficiency.

What are the key skills and qualifications needed to thrive in the Metadata Analyst position, and why are they important?

To thrive as a Metadata Analyst, a solid understanding of data management, database concepts, metadata standards, and a degree in information science, library science, or a related field is key. Familiarity with metadata management tools, data cataloging platforms, and systems like SQL, XML, and DAM (Digital Asset Management) systems, as well as certifications such as Certified Data Management Professional (CDMP), are often beneficial. Strong attention to detail, analytical thinking, and effective communication are essential soft skills that help with collaborating across departments. These combined skills ensure data is accurately organized, discoverable, and valuable for organizational decision-making and compliance.

What does a metadata analyst do?

A metadata analyst is responsible for organizing, managing, and analyzing metadata to improve data retrieval and usability. They often work with data management tools, ensure data quality, and develop standards for metadata documentation to support data governance and searchability.
What are the most commonly searched types of Metadata Analyst jobs in Indiana? The most popular types of Metadata Analyst jobs in Indiana are:
What are popular job titles related to Metadata Analyst jobs in Indiana? For Metadata Analyst jobs in Indiana, the most frequently searched job titles are:
What job categories do people searching Metadata Analyst jobs in Indiana look for? The top searched job categories for Metadata Analyst jobs in Indiana are:
Metadata Analyst jobs near you
Infographic showing various Metadata Analyst job openings in Indiana as of July 2026, with employment types broken down into 1% Locum Tenens, 1% Internship, 83% Full Time, 10% Part Time, 1% Temporary, and 4% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $69,712 per year, or $33.5 per hour.
Snowflake Architect

Snowflake Architect

Onebridge

Indianapolis, IN • On-site, Remote

$61 - $78.50/hr

Full-time

Re-posted 13 days ago

Job description

Onebridge, a Marlabs Company, is a global AI and Data Analytics Consulting Firm that empowers organizations worldwide to drive better outcomes through data and technology. Since 2005, we have partnered with some of the largest healthcare, life sciences, financial services, and government entities across the globe. We have an exciting opportunity for a highly skilled Snowflake Architect to join our innovative and dynamic team.
Snowflake Architect | About You
As a Snowflake Architect, you are responsible for designing and guiding the implementation of modern cloud data platforms that support enterprise analytics and data-driven decision-making. You bring deep expertise in Snowflake and cloud-native architectures, along with a strong track record delivering greenfield data platforms and leading on-premises to cloud migrations. You operate comfortably at both the strategic and hands-on levels, defining architecture standards while partnering closely with engineering teams to ensure successful execution. You have a strong understanding of data strategy, governance, and enterprise data management, and you value building scalable, secure, and well-governed platforms from the start. You collaborate effectively with business and technical stakeholders to translate long-term data vision into practical, sustainable architectures.
Snowflake Architect | Day-to-Day
  • Lead the design and architecture of enterprise data platforms using Snowflake and Azure, supporting greenfield initiatives and large-scale modernization efforts.
  • Define and implement architectural patterns for on-premises to cloud migrations, including ingestion, transformation, storage, and analytics layers.
  • Partner with data engineering and analytics teams to design scalable data models, ELT frameworks, and integration patterns using Snowflake and SQL.
  • Contribute to data strategy and roadmap development, aligning technical architecture with business goals and analytics needs.
  • Define and enforce data governance, security, and data quality standards, working closely with compliance and data management teams.
  • Review architectural designs, data pipelines, and implementations to ensure alignment with performance, scalability, security, and governance best practices.
  • Support analytics and reporting teams by ensuring Snowflake architectures enable self-service BI and reliable access to trusted data sources.

Snowflake Architect | Skills & Experience
  • 8+ years of experience in data architecture, cloud data engineering, or enterprise data platform design.
  • Deep, hands-on expertise with Snowflake, including architecture design, performance optimization, security models, and large-scale transformation workloads.
  • Proven experience leading greenfield data platform implementations and on-premises to cloud migrations.
  • Strong expertise in Azure, advanced SQL, and ETL/ELT architecture within enterprise data ecosystems.
  • Experience designing and supporting enterprise data strategies, including data governance, data quality, and metadata management practices.
  • Strong understanding of analytics enablement and integration with BI platforms such as Power BI or Sigma.
  • Familiarity with AI or advanced analytics concepts as applied to data platforms is a plus, but not required.

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