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Metadata Analyst Jobs in Pennsylvania (NOW HIRING)

Configure application settings, roles, permissions, metadata, and workflow elements. * Support ... Analyze SQL databases, validate data mappings, and assist with data transfer between databases.

... metadata-driven controls. Other projects and tasks as assigned. Qualifications Qualifications: • Bachelor's Degree in Information Technology, Information Systems, Business Analytics, Data ...

... Analytics, Master Data Management, or related disciplines. Experience facilitating collaboration between business and technical stakeholders. Experience working with metadata, data catalog, or ...

... Analytics, Master Data Management, or related disciplines. Experience facilitating collaboration between business and technical stakeholders. Experience working with metadata, data catalog, or ...

Complete metadata documentation of datasets and processes. * Assist with administration of ArcGIS ... Extract and analyze Census ACS data on demographics and related national or local datasets on ...

The Data Analyst partners with IT, business stakeholders, and cross-functional teams to deliver ... Profile and validate content metadata to support taxonomy migration initiatives and related content ...

The Strategic Account Analyst is an essential partner specializing in strategic accounts through ... metadata maintenance, version control, and workflow coordination. * Ensure contract records ...

Showing results 21-40

Metadata Analyst information

See Pennsylvania salary details

$31.1K

$73.4K

$130.3K

How much do metadata analyst jobs pay per year?

As of Sep 8, 2026, the average yearly pay for metadata analyst in Pennsylvania is $73,437.00, according to ZipRecruiter salary data. Most workers in this role earn between $52,600.00 and $87,200.00 per year, depending on experience, location, and employer.

What is a metadata analyst?

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.

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 as a metadata analyst, 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 are the most commonly searched types of Metadata Analyst jobs in Pennsylvania?

The most popular types of Metadata Analyst jobs in Pennsylvania are:

What job categories do people searching Metadata Analyst jobs in Pennsylvania look for?

The top searched job categories for Metadata Analyst jobs in Pennsylvania are:

What cities in Pennsylvania are hiring for Metadata Analyst jobs?

Cities in Pennsylvania with the most Metadata Analyst job openings:

Infographic showing various Metadata Analyst job openings in Pennsylvania as of August 2026, with employment types broken down into 92% Full Time, 4% Part Time, and 4% Contract. Highlights an 79% Physical, 8% Hybrid, and 13% Remote job distribution, with an average salary of $73,437 per year, or $35.3 per hour.

Principal Scientist, Data Science (Data Products, Integration & Analysis)

Scorpion Therapeutics

Horsham, PA • On-site

$150 - $200/hr

Other

PTO

Posted 9 days ago


Job description

Position Summary
  • Lead design, implementation, and evolution of scientific data products and integration strategies for AI-enabled drug discovery and development.
  • Create scalable, interoperable, AI-ready data products connecting discovery, preclinical, clinical, safety, and real-world evidence.
  • Establish data architecture, integration strategy, metadata framework, and productization approach for semantic reasoning, knowledge graphs, GraphRAG, advanced analytics, and agentic AI.
  • Work with scientific stakeholders, knowledge architects, AI engineers, and platform teams to deliver high-quality products supporting translational science and patient safety.
Key Responsibilities
  • Define and execute scientific data product strategy (discovery, translational science, preclinical safety, clinical development, pharmacovigilance, real-world evidence).
  • Design data integration/harmonization frameworks (SEND, SDTM, ADaM, MedDRA, Imaging, Omics, Biomarker, Pathology, real-world data).
  • Lead AWS deployment strategy; partner on pipelines/data products; ensure security/governance/AI-readiness alignment.
  • Develop curated datasets, semantic-ready data products, feature stores, metadata products, scientific data services, and AI-ready assets.
  • Define metadata standards; implement lineage/provenance/traceability and FAIR; monitoring and quality controls.
  • Build predictive AIML models for translational safety decision making.
Required Qualifications
  • Master’s or PhD in CS/Data Engineering/Bioinformatics/Biomedical Informatics/Information Systems/Computational Biology/related.
  • 5+ years in scientific data engineering/architecture/products or life sciences informatics.
  • Enterprise-scale scientific data product delivery experience.
  • Experience supporting drug discovery/development/clinical research/pharmacovigilance.
  • Experience developing predictive models in these areas.
Preferred Qualifications
  • Knowledge graphs/semantic architectures/GraphRAG; AI-ready products/feature stores; ontology-driven integration; cloud/platform partnerships; highly regulated scientific environments.
Skills (Required/Preferred listed)
  • Advanced analytics
  • critical thinking
  • data quality/analysis/reporting/visualization
  • data governance & metadata
  • data architecture/modeling/product design
  • cloud-native platforms
  • predictive model development.
Benefits (time off)
  • Vacation 120h/yr
  • Sick time 40h/yr (48h CO; 56h WA)
  • Holiday pay 13 days/yr
  • Parental leave 480h (within one year)
  • other stated leave options included.
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