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Freelance 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 ...

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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Freelance Data Mapping Analyst information

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$34K

$82.6K

$136K

How much do freelance data mapping analyst jobs pay per year?

As of Jun 16, 2026, the average yearly pay for freelance 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 are Freelance Data Mapping Analysts?

Freelance Data Mapping Analysts are independent professionals who specialize in analyzing, organizing, and transforming data from one format or system to another. They work on a project basis to help organizations ensure their data is accurately transferred during system migrations, integrations, or consolidations. Their responsibilities include assessing data quality, designing mapping strategies, and troubleshooting issues that arise during the data conversion process. Freelance Data Mapping Analysts typically collaborate with IT teams and stakeholders to meet project requirements and deadlines.

How do Freelance Data Mapping Analysts typically manage communication and collaboration with clients remotely?

Freelance Data Mapping Analysts often work with clients across various locations, so strong communication is essential. They typically use project management tools, video conferencing, and regular email updates to ensure alignment on project goals, timelines, and data requirements. Clear documentation and frequent check-ins help address any data inconsistencies early and keep the project on track. Building transparent workflows and being proactive about clarifying ambiguities are key to successful remote collaboration in this role.

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

To thrive as a Freelance Data Mapping Analyst, you need a solid understanding of data structures, database management, and data integration principles, often supported by a degree in computer science or related fields. Familiarity with ETL tools (like Talend, Informatica, or SSIS), data mapping software, and proficiency in SQL are typically required. Strong analytical thinking, attention to detail, and effective client communication set top performers apart. These skills are crucial for accurately translating and aligning disparate data sources to meet business requirements and ensure seamless data flow.

What is the difference between Freelance Data Mapping Analyst vs Data Analyst?

AspectFreelance Data Mapping AnalystData Analyst
CredentialsTypically requires data management, mapping, and analysis skills; certifications like Microsoft Excel, SQL beneficialRequires similar skills; often holds degrees in statistics, data science, or related fields
Work EnvironmentFreelance, remote, project-basedFull-time or part-time, often in office or remote
Employer & IndustryClients across various industries, project-basedOrganizations, corporations, or agencies
Search & Comparison IntentLooking for freelance data mapping roles or projectsSeeking data analysis jobs or roles

The main difference is that a Freelance Data Mapping Analyst works independently on specific projects, focusing on data mapping tasks, while a Data Analyst typically works within organizations analyzing data regularly. Both roles require similar skills, but their work settings and employment types differ.

More about Freelance Data Mapping Analyst jobs
What cities are hiring for Freelance Data Mapping Analyst jobs? Cities with the most Freelance 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 Freelance Data Mapping Analyst jobs? States with the most job openings for Freelance Data Mapping Analyst jobs include:
Infographic showing various Freelance Data Mapping Analyst job openings in the United States as of June 2026, with employment types broken down into 99% Full Time, and 1% Part Time. 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 6 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