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Data Mapping Analyst Jobs (NOW HIRING)

The Mapping Analyst will provide support to the Market Entry Map Operations team by collecting infrastructure data and analyzing road features and work closely with product and engineering teams to ...

This role requires strong analytical skills, experience with data validation, mapping tools, and the ability to investigate and resolve data discrepancies. Responsibilities: * Validate and reconcile ...

This role requires strong analytical skills, experience with data validation, mapping tools, and the ability to investigate and resolve data discrepancies. Responsibilities: Validate and reconcile ...

We are seeking a detail-oriented Data Analyst with strong experience in data mapping, data analysis, and data transformation . The ideal candidate will work closely with business stakeholders, data ...

Collaborate with ETL Architects and created the DMD (Data Mapping Document) to specify the data mapping from various data base sources to the target database. * Conduct data analysis, data profiling ...

Mapping logic and dependencies Data Analysis & Validation * Accessing data and running SQL queries for analysis * Performing data profiling and quality checks * Example challenges: * Identifying ...

The Senior Data Analyst/Modeler is a highly trained professional who will become an expert in our source data and lead the data mapping effort to migrate the data into our new enterprise data ...

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Data Mapping Analyst information

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$34K

$82.6K

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How much do data mapping analyst jobs pay per year?

As of Jun 16, 2026, the average yearly pay for data mapping 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 Mapping Analyst job?

A Data Mapping Analyst is responsible for analyzing, organizing, and translating data between different systems, formats, or databases. They ensure data accuracy, consistency, and proper integration by creating mapping documents and working closely with developers, business analysts, and data engineers. Their role is critical in data migration, system integration, and maintaining data integrity across platforms. Strong analytical skills, attention to detail, and knowledge of data structures and transformation processes are essential for success in this role.

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

To thrive as a Data Mapping Analyst, you need strong analytical skills, attention to detail, and a solid understanding of data structures, often supported by a degree in computer science, information systems, or a related field. Familiarity with data integration tools, ETL (Extract, Transform, Load) platforms, SQL, and sometimes certifications like Certified Data Management Professional (CDMP) are highly valuable. Excellent problem-solving abilities, communication skills, and the capacity to work collaboratively make candidates stand out. These skills are critical for accurately translating data between systems, ensuring data quality, and facilitating successful cross-functional projects.

What are the typical daily responsibilities of a Data Mapping Analyst?

A Data Mapping Analyst typically spends their day analyzing source and target data systems, designing data mapping documents, and configuring or testing data transformations. They often collaborate closely with data engineers, business analysts, and project managers to ensure that data flows smoothly and accurately between different platforms. Additionally, they may review data quality, troubleshoot issues, and document mapping logic and processes for ongoing or future projects. This role requires both technical and communication skills to bridge gaps between business requirements and IT solutions.

More about Data Mapping Analyst jobs
What cities are hiring for Data Mapping Analyst jobs? Cities with the most Data Mapping Analyst job openings:
What are the most commonly searched types of Data Mapping Analyst jobs? The most popular types of Data Mapping Analyst jobs are:
What states have the most Data Mapping Analyst jobs? States with the most job openings for Data Mapping Analyst jobs include:
Infographic showing various Data Mapping Analyst job openings in the United States as of June 2026, with employment types broken down into 3% Locum Tenens, 79% Full Time, 15% Part Time, and 3% Contract. Highlights an 81% Physical, 8% Hybrid, and 11% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.
Senior Metadata & Data Mapping Analyst

Senior Metadata & Data Mapping Analyst

LONG FINCH TECHNOLOGIES

Dallas, TX • On-site

$85K - $107K/yr

Full-time

Posted 7 days ago


Job description

Role Overview

The Senior Metadata & Data Mapping Analyst is responsible for defining, managing, and governing enterprise metadata and end‑to‑end source‑to‑target data mappings across complex banking and risk data ecosystems. This role partners closely with Business, Risk, Finance, Data, and Technology teams to ensure data is accurate, traceable, governed, and compliant with regulatory expectations, including BCBS 239 principles.

In addition to hands‑on delivery, this role provides leadership in business development, RFP responses, and small team management, supporting data governance and regulatory transformation initiatives within a regulated financial services environment.


Key Responsibilities

Metadata Management & Source‑to‑Target Data Mapping

  • Lead the development and maintenance of business and technical metadata across enterprise data platforms.
  • Hands on experience in Data cataloguing and data lineage tools
  • Extensive experience in Metadata and data Quality and Source to target mapping and maintaining data dictionary.
  • Create and manage detailed source‑to‑target mappings (STTM) covering:
    • Business definitions
    • Data attributes and hierarchies
    • Transformation rules and calculations
    • Aggregation logic and derivations
  • Work closely with business stakeholders to ensure mappings reflect true business meaning, not just technical movement.
  • Ensure consistency between business glossaries, logical data models, and physical implementations.
  • Support mappings across multiple source systems, data warehouses, risk data marts, and reporting layers.

Data Governance & BCBS 239 Compliance

  • Support and operationalize data governance frameworks, including:
    • Data ownership and stewardship
    • Data quality rules and controls
    • Data lineage and traceability
  • Ensure metadata and data mappings align with BCBS 239 principles, particularly:
    • Accuracy and integrity
    • Completeness
    • Timeliness
    • Adaptability
    • Traceability and auditability
  • Partner with Risk, Finance, and Compliance teams to support regulatory reporting, audit, and supervisory reviews.
  • Assist in defining and maintaining data standards, naming conventions, and governance artifacts.

Business & Stakeholder Collaboration

  • Act as a bridge between business users and technology teams, ensuring shared understanding of data requirements.
  • Facilitate working sessions to capture business definitions, data usage, and reporting needs.
  • Translate regulatory, risk, and business requirements into actionable metadata and mapping deliverables.
  • Support impact analysis for upstream or downstream data changes.

Delivery & Quality Assurance

  • Support Agile or hybrid delivery models by ensuring data mapping and metadata artifacts are delivery‑ready.
  • Validate implemented mapping through data reconciliation, profiling, and UAT support.
  • Identify data quality issues, lineage gaps, and control weaknesses, and drive remediation efforts.
  • Ensure documentation meets internal governance and audit standards.

Leadership, Business Development & Operations

  • Business Development: Contribute to RFPs, proposals, and client presentations related to data governance, BCBS 239, and regulatory data programs.
  • Engagement Leadership: Support planning and execution of data governance and metadata initiatives for clients.
  • Team Management: Lead and mentor a small team of metadata and data mapping analysts, including:
    • Task planning and prioritization
    • Quality reviews of deliverables
    • Onshore/offshore coordination
  • Promote best practices and continuous improvement across data management initiatives.

Required Qualifications

  • 7–10 years of experience in data analysis, metadata management, or data mapping within banking or financial services.
  • Extensive hands‑on experience with business‑driven source‑to‑target data mapping in complex data environments.
  • Strong understanding of data governance concepts and operating models.
  • Proven experience supporting BCBS 239 compliance and risk or regulatory data programs.
  • Strong knowledge of data domains such as Risk, Finance, Regulatory Reporting, or Capital Markets.
  • Ability to translate complex business and regulatory requirements into clear, well‑structured data artifacts.
  • Excellent communication skills with the ability to engage business, data, and technology stakeholders.

Preferred Qualifications

  • Experience with metadata management or data governance tools (e.g., Collibra, Informatica, Alation, Ab Initio, or similar).
  • Strong SQL skills and experience performing data analysis and validation.
  • Familiarity with data warehousing, ETL/ELT processes, and reporting architecture.
  • Prior experience supporting regulatory reporting, stress testing, or risk data aggregation programs.
  • Experience working in onshore/offshore delivery models.

Key Competencies

  • Strong attention to detail with a data‑quality mindset
  • Ability to balance business meaning with technical implementation
  • Leadership and mentoring capability
  • Comfort operating in regulated, audit‑intensive environments
  • Strong documentation and governance discipline