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Full Time Data Mapping Analyst Jobs (NOW HIRING)

Data Mapping, Join validations - Validation, and addressing/fixing data queries raised by ... Note:- * This is a Full-Time Permanent job opportunity for you. * Only US Citizen, Green Card ...

Data Mapping, Join validations - Validation, and addressing/fixing data queries raised by ... Note:- * This is a Full-Time Permanent job opportunity for you. * Only US Citizen, Green Card ...

Data Architect

Cleveland, OH · On-site +1

$61.75 - $79.50/hr

Data Architect Full-time Onsite (Greater Cleveland, OH Area) ABOUT THE ROLE A prominent ... Lead Data Mapping & Migration: Own the comprehensive source-to-target data mapping, transformation ...

Data Mapping, Join validations - Validation, and addressing/fixing data queries raised by ... Note:- * This is a Full-Time Permanent job opportunity for you. * Only US Citizen, Green Card ...

Data Analyst Location: Atlanta, GA - Onsite Contract job Data Analyst - Job Requirements Core ... Data Mapping & Documentation: * Experience creating source to target data mappings, identifying ...

This role involves translating complex data structures into clear mapping specifications and ... Solid understanding of data analysis techniques and data lifecycle concepts * Experience working ...

Senior Data Analyst

Minnetonka, MN

$87K - $110K/yr

Experience in Data Mapping, data validation, and data reconciliation * Exposure to Cloud-based data platforms and environments Roles and Responsibilities * Gather, analyze, and document business and ...

Data Mapping, Classification and create scripts to source and ship data to vendors * Candidate must have hands on experience on running SQL Scripts for Descriptive Analysis ,Predictive Analysis

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Full Time Data Mapping Analyst information

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How much do full time data mapping analyst jobs pay per year?

As of Jun 20, 2026, the average yearly pay for full time 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 the difference between Full Time Data Mapping Analyst vs Data Analyst?

AspectFull Time Data Mapping AnalystData Analyst
Required CredentialsBachelor's in IT, Computer Science, or related field; familiarity with data mapping toolsBachelor's in Statistics, Mathematics, or related field; proficiency in data analysis software
Work EnvironmentCorporate offices, data centers, or remote settings within tech or finance industriesBusiness environments, consulting firms, or remote roles across various industries
Employer & Industry UsagePrimarily in IT, finance, and data management companiesWide-ranging across industries like marketing, healthcare, finance, and tech

The Full Time Data Mapping Analyst focuses on translating data between systems and ensuring data integrity, often requiring technical skills in data mapping tools. In contrast, a Data Analyst interprets data to provide insights, requiring strong analytical and visualization skills. While both roles involve working with data, their core responsibilities and skill sets differ, making each suited to different organizational needs.

What are some common challenges a Full Time Data Mapping Analyst may encounter when integrating data from multiple sources?

A Full Time Data Mapping Analyst often faces challenges such as dealing with inconsistent data formats, missing or incomplete data fields, and varying data quality across different systems. Additionally, understanding complex business rules and ensuring accurate transformation logic can be demanding, especially when working with legacy systems or large datasets. Effective communication with stakeholders and close collaboration with IT and business teams are essential to clarify requirements and resolve ambiguities during the mapping process.

What does a Full Time Data Mapping Analyst do?

A Full Time Data Mapping Analyst is responsible for analyzing, organizing, and transforming data from various sources to ensure it can be used effectively across systems. They create data maps that define how data fields from one database correspond to those in another, often as part of system integrations or data migrations. Their work helps organizations maintain data accuracy, streamline processes, and support business intelligence or reporting needs. They also collaborate with IT, business analysts, and other stakeholders to understand data requirements and resolve mapping issues.

What are the key skills and qualifications needed to thrive as a Full Time Data Mapping Analyst, and why are they important?

To thrive as a Full Time Data Mapping Analyst, you need strong analytical skills, expertise in data modeling, and a background in information systems or computer science. Familiarity with data mapping tools, ETL (extract, transform, load) platforms, and database management systems such as SQL is typically required. Attention to detail, problem-solving, and effective communication are vital soft skills for collaborating with stakeholders and ensuring data accuracy. These skills are crucial for translating business requirements into robust data structures and ensuring seamless data integration across systems.
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Infographic showing various Full Time Data Mapping Analyst job openings in the United States as of June 2026, with employment types broken down into 47% Full Time, 52% Part Time, and 1% Contract. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.
Metadata & Data Mapping Analyst With Exposure To Fraud Side

Metadata & Data Mapping Analyst With Exposure To Fraud Side

Long Finch Technologies

Dallas, TX

Full-time

Posted 10 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