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Data Lineage Analyst Jobs (NOW HIRING)

Data Analyst

Phoenix, AZ · On-site

$100K - $110K/yr

Data Analyst Must Have Technical/Functional Skills SQL , Data Analysis & Analytics, Data Governance, Data Quality Management, Metadata & Data Lineage Management, Reporting & Visualization, Cloud Data ...

The Data Governance & Quality Analyst supports data lineage and governance activities by helping maintain data lineage documentation, collecting information from stakeholders, and assisting with data ...

Document metadata, data lineage, and report specifications to maintain governance and transparency across analytics assets. Required Skills & Experience * Minimum of 5 years of IT experience working ...

The Data Governance & Quality Analyst supports data lineage and governance activities by helping maintain data lineage documentation, collecting information from stakeholders, and assisting with data ...

Showing results 21-40

Data Lineage Analyst information

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$34K

$82.6K

$136K

How much do data lineage analyst jobs pay per year?

As of Sep 9, 2026, the average yearly pay for data lineage analyst in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.

What is a data lineage analyst?

A Data Lineage Analyst is responsible for tracking the flow of data across an organization's systems, ensuring data integrity, accuracy, and compliance. They document data sources, transformations, and movements to provide visibility into how data is used and managed. Their work is crucial for regulatory compliance, troubleshooting data-related issues, and optimizing data governance. They collaborate with data engineers, analysts, and business stakeholders to maintain transparency and improve data quality.

What does a data lineage analyst do?

As a Data Lineage Analyst, your daily tasks often include mapping the flow of data across different systems, documenting how data transforms and moves throughout the organization, and collaborating with data engineers, business analysts, and compliance teams. You’ll proactively investigate data quality issues, ensure adherence to governance policies, and update lineage documentation as new data processes are introduced or modified. This role involves a blend of independent technical analysis and teamwork, frequently requiring clear communication with stakeholders to clarify data definitions and support audit or compliance requests. The dynamic nature of the job offers daily variety and opportunities for continual learning as data landscapes evolve.

What are the key skills and qualifications needed to thrive as a data lineage analyst?

A Data Lineage Analyst requires strong analytical skills, attention to detail, and a foundational understanding of data management and governance, often supported by a degree in information systems, computer science, or a related field. Familiarity with data visualization software, data mapping tools, SQL, and certifications such as CDMP (Certified Data Management Professional) is highly beneficial. Excellent problem-solving abilities, effective communication, and the ability to collaborate across IT and business teams are valuable soft skills. These capabilities are crucial for accurately documenting data flows, ensuring regulatory compliance, and supporting data-driven decision-making within organizations.

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Infographic showing various Data Lineage Analyst job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 83% Full Time, 12% Part Time, and 3% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.

Data Analyst

Phoenix, AZ • On-site

$100K - $110K/yr

Full-time

Re-posted 17 days ago


Job description

Data Analyst
Must Have Technical/Functional Skills
SQL , Data Analysis & Analytics, Data Governance, Data Quality Management, Metadata & Data Lineage Management, Reporting & Visualization, Cloud Data Platforms(GCP), Data Integration & ETL, AI/ML Fundamentals
The Role
As a Data Analyst / Data Management & Governance Professional with Emerging AI Experience, you will play a key role in analyzing, managing, and governing financial data while supporting the development and implementation of AI-enabled solutions. You will collaborate with engineers, product managers, data stewards, and business stakeholders to ensure high-quality, reliable, and compliant data assets that drive business decisions and customer-facing solutions.
This role provides opportunities to deepen your expertise in data analytics, data management, data governance, reporting, regulatory compliance, and cloud-based data platforms, while gaining hands-on exposure to Artificial Intelligence (AI), Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and Agentic AI technologies. Working within a highly regulated financial environment, you will contribute to building scalable data solutions and support AI initiatives under the guidance of experienced engineers and data leaders.
Responsibilities
• Analyze and interpret large financial datasets to generate actionable insights, support decision-making, and improve business outcomes.
• Support data management initiatives, including data quality, data lineage, metadata management, master data management, and data lifecycle processes.
• Contribute to the implementation and maintenance of data governance frameworks, policies, standards, controls, and regulatory compliance requirements.
• Collaborate with cross-functional teams to ensure data accuracy, consistency, accessibility, and governance across enterprise data platforms.
• Assist in the development and maintenance of reporting solutions, dashboards, KPIs, and analytical models to support business and operational needs.
• Participate in cloud-based data platform initiatives, including data migration, integration, automation, and process optimization activities.
• Support AI and machine learning initiatives by preparing, validating, and governing datasets used for model development and deployment.
• Gain hands-on experience with AI technologies, including Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and Agentic AI solutions, while assisting in the development and testing of AI-powered features and workflows.
• Contribute to monitoring, evaluating, and improving data and AI solution performance, reliability, and compliance in production environments.
• Work closely with product managers, engineers, data stewards, and business stakeholders to translate business requirements into scalable data and analytics solutions.
• Support the documentation of data governance processes, data dictionaries, business rules, and operational procedures to ensure transparency and compliance.
• Participate in continuous improvement efforts focused on data quality, governance maturity, automation, and AI adoption across the organization.
Preferred Skills & Experience
• Experience in Data Analysis, Data Management, Data Governance, Data Quality, Reporting, and Regulatory Compliance.
• Knowledge of SQL, data visualization tools (Power BI, Tableau, Looker, etc.), and cloud-based data platforms.
• Understanding of data governance concepts, including metadata management, data lineage, data stewardship, and data controls.
• Exposure to cloud technologies such as Google Cloud Platform (GCP), AWS, or Azure.
• Beginner-level knowledge or hands-on experience with Artificial Intelligence (AI), Machine Learning, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), or Agentic AI concepts.
• Strong analytical, problem-solving, communication, and stakeholder management skills.
Salary Range- $100,000-$110,000 a year