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Senior Metadata Analyst Jobs (NOW HIRING)

Accord Technologies Inc.

Sr. Data Analyst

Piscataway, NJ · On-site

$87K - $110K/yr

Senior Data Analyst Location: Piscataway, NJ (Hybrid/Onsite) Experience: 10-12+ Years Mandatory ... Participate in data governance initiatives including metadata management, data lineage, and data ...

Halvik

Sr. BI Developer

Vienna, VA · On-site

$140K - $150K/yr

The Senior BI Developer will design and maintain the repeatable conversion process used to ... Python proficiency for scripting, automation, data profiling, or metadata analysis. * Experience ...

Flow Control Group

Senior Data Analyst

Houston, TX · On-site

$120K - $135K/yr

Visit our website: FCG is seeking a Senior Data Analyst to help shape our data and analytics ... Metadata: Work with business users, technical teams, and data stewards to create documentation ...

Elevance Health

Data Admin Analyst Senior

Iselin, NJ · On-site

$167K - $168K/yr

Data Admin Analyst Senior Data Admin Analyst Senior Location: Ideal candidates will be able to ... Design and construct most difficult metadata reports and conduct metadata quality reviews.

Elevance Health

Data Admin Analyst Senior

Iselin, NJ · On-site

$167K - $168K/yr

Data Admin Analyst Senior Data Admin Analyst Senior Location: Ideal candidates will be able to ... Design and construct most difficult metadata reports and conduct metadata quality reviews.

DivIHN

Senior Data Analyst (Remote)

$88K - $111K/yr

Senior Data Analyst (Remote) Duration: 12 Months Location: Remote Only W2 candidates are eligible ... Maintain metadata documentation and reporting standards. * Partner with technical and business ...

Philip Morris

Senior Data Analyst

Tampa, FL · Hybrid

$104K - $130K/yr

Senior Data Analyst - Tampa, FL Be a part of a revolutionary change!    At Philip Morris ... Ensure metadata completeness (column definitions, tags, PII classification, confidentiality levels ...

Business Enterprize Inc.

Senior Data Analyst

Sacramento, CA · On-site

$93K - $118K/yr

Senior Data Analyst We are seeking an experienced Senior Data Analyst with a strong background in ... Support data governance and metadata management initiatives using Collibra. * Experience in ...

Bluehawk, LLC

IMINT Analyst - Senior

Tampa, FL

Overview BLUEHAWK is seeking a highly skilled IMINT Analyst - Senior to provide advanced Imagery ... Perform assessments involving enterprise data integration, metadata management, intelligence ...

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Senior Metadata Analyst information

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$48.5K

$102.5K

$130.5K

How much do senior metadata analyst jobs pay per year?

As of Aug 6, 2026, the average yearly pay for senior metadata analyst in the United States is $102,527.00, according to ZipRecruiter salary data. Most workers in this role earn between $88,000.00 and $116,500.00 per year, depending on experience, location, and employer.

How does a senior metadata analyst typically collaborate with other departments within an organization?

A Senior Metadata Analyst frequently works cross-functionally with teams such as data governance, IT, business intelligence, and compliance to ensure metadata standards and best practices are consistently applied. They often facilitate workshops, lead metadata documentation efforts, and provide guidance on data classification to support business needs. Effective collaboration is key, as they help bridge technical and business perspectives, ensuring data assets are discoverable, trustworthy, and aligned with organizational goals.

What does a senior metadata analyst do?

A Senior Metadata Analyst is responsible for managing and optimizing metadata, which is data that describes other data, within an organization's systems. They ensure the accuracy, consistency, and integrity of metadata to support data management, discovery, and governance initiatives. Senior Metadata Analysts often collaborate with IT, data governance, and business teams to create metadata standards and processes, and they may also use specialized tools to catalog and maintain metadata repositories.

What are the key skills and qualifications needed to thrive as a senior metadata analyst?

To thrive as a Senior Metadata Analyst, you need expertise in data management, metadata standards, and information architecture, often supported by a degree in information science or a related field. Familiarity with metadata management tools (such as Collibra or Informatica), data catalog systems, and data governance frameworks is typically required. Strong analytical thinking, attention to detail, and effective communication skills help in collaborating with stakeholders and ensuring data consistency. These skills are crucial for maintaining data quality, enabling efficient data discovery, and supporting organizational data governance initiatives.
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What cities are hiring for Senior Metadata Analyst jobs? Cities with the most Senior Metadata Analyst job openings:
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Senior Metadata Analyst jobs near you
Infographic showing various Senior Metadata Analyst job openings in the United States as of August 2026, with employment types broken down into 85% Full Time, 7% Part Time, 1% Temporary, and 7% Contract. Highlights an 80% Physical, 8% Hybrid, and 12% Remote job distribution, with an average salary of $102,527 per year, or $49.3 per hour.

Sr. Data Analyst

Accord Technologies Inc.

Piscataway, NJ • On-site

$87K - $110K/yr

Contractor

Posted 13 days ago

Job description

Senior Data Analyst
Location: Piscataway, NJ (Hybrid/Onsite)
Experience: 10–12+ Years 
Mandatory: Data analyst, Requirements gathering, source data analysis, source-to-target mapping, strong SQL, actuarial or deep insurance domain knowledge, business rule documentation, stakeholder management.Job Summary

We are seeking an experienced Senior Data Analyst with deep expertise in data analysis, business analysis, and insurance/actuarial domains to support enterprise data initiatives. The ideal candidate will have extensive experience gathering business requirements, performing source data analysis, creating source-to-target mappings, documenting business rules, and collaborating with cross-functional stakeholders to deliver high-quality data solutions.

This role requires strong SQL skills, excellent analytical capabilities, and hands-on experience working with actuarial, underwriting, or broker data within the insurance industry. Familiarity with Databricks, Azure, and modern data governance practices is highly desirable.

Key Responsibilities
  • Collaborate with business stakeholders to gather, analyze, and document business and data requirements.
  • Perform detailed source system analysis to understand data structures, relationships, and quality.
  • Develop comprehensive Source-to-Target Mapping (STTM) documents for data migration and integration projects.
  • Analyze complex datasets using advanced SQL to identify trends, anomalies, and business insights.
  • Document business rules, transformation logic, and data validation requirements.
  • Work closely with actuarial, underwriting, and business teams to understand insurance data models and reporting needs.
  • Support data reconciliation, data validation, and quality assurance activities.
  • Participate in data governance initiatives including metadata management, data lineage, and data quality improvements.
  • Collaborate with Data Engineering teams supporting Azure and Databricks-based data platforms.
  • Create functional specifications and support UAT by validating business requirements and data accuracy.
  • Facilitate stakeholder meetings and effectively communicate project status, risks, and recommendations.
Required Qualifications
  • Bachelor's degree in Computer Science, Information Systems, Mathematics, Statistics, Actuarial Science, Business, or a related field.
  • 10–12+ years of experience as a Data Analyst or Business/Data Analyst.
  • Strong experience with:
    • Requirements gathering and business analysis
    • Source data analysis
    • Source-to-Target Mapping (STTM)
    • Business rule documentation
    • Data reconciliation and validation
    • Stakeholder management
  • Advanced SQL skills for complex querying, analysis, and data validation.
  • Hands-on experience in the Insurance industry, preferably within:
    • Actuarial
    • Underwriting
    • Broker data
  • Strong analytical and problem-solving abilities.
  • Excellent communication and documentation skills.
Preferred Qualifications
  • Hands-on actuarial experience.
  • Strong understanding of Property & Casualty and/or Life Insurance data.
  • Experience working with underwriting and broker datasets.
  • Familiarity with Databricks and Microsoft Azure data platforms.
  • Exposure to data governance frameworks, metadata management, and data lineage.
  • Experience supporting enterprise reporting and analytics initiatives.
  • Knowledge of ETL processes and data integration concepts.
  • Experience working in Agile/Scrum environments.
Technical Skills
  • SQL (Advanced)
  • Data Analysis
  • Source-to-Target Mapping (STTM)
  • Business Requirements Documentation
  • Data Reconciliation
  • Data Validation
  • Databricks (Preferred)
  • Microsoft Azure (Preferred)
  • Data Governance
  • Reporting & Analytics
  • Excel (Advanced)
Domain Expertise
  • Insurance
  • Actuarial
  • Underwriting
  • Broker Data
  • Risk & Financial Data