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Full Time Data Mapping Analyst Jobs (NOW HIRING)

Syntricate Technologies

Python Data Analyst

Wilmington, DE · On-site

... Mapping and Models • Table Extraction Preferred : • AWS S3 strongly preferred • Spark ... Data Analysis • Understanding of Model and its Lifecycle • Expectation for model validation ...

Northern Base

Business Analyst

San Antonio, TX · On-site

San Antonio, TX (Onsite) Employment Type: Full-Time Experience Required: 8-10 Years Visa Type: USC ... Data Mapping & Data Conversion * Claims System Integrations * Stakeholder Management * Guidewire ...

Nymbus, Inc.

Data Migration Analyst

Analyze and map data across banking functions, including deposit operations, loan products, consumer demographics, retirement accounts, financial reporting structures, and general ledger data. * Use ...

Nymbus, Inc.

Data Migration Analyst

Jacksonville, FL · Remote

Analyze and map data across banking functions, including deposit operations, loan products, consumer demographics, retirement accounts, financial reporting structures, and general ledger data. * Use ...

Nymbus, Inc.

Data Migration Analyst

Analyze and map data across banking functions, including deposit operations, loan products, consumer demographics, retirement accounts, financial reporting structures, and general ledger data. * Use ...

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Full Time Data Mapping Analyst information

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$34K

$82.6K

$136K

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

As of Sep 12, 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 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?

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.

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 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.

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Full Time Data Mapping Analyst jobs near you
Infographic showing various Full Time Data Mapping Analyst job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 84% Full Time, 11% 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.

Loan Servicing Data Transfer Analyst - Denver, CO

Denver, CO • Remote

Agility 360
Finance and Insurance • 51 - 200 employees
Learn more about Agility 360external

$38K - $52K/yr

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

Job Openings >> Loan Servicing Data Transfer Analyst - Denver, CO
Loan Servicing Data Transfer Analyst - Denver, CO
Summary
Title: Loan Servicing Data Transfer Analyst - Denver, CO ID: 1858 Location: Denver, CO
Description

Loan Servicing Data Transfer Analyst (Remote)

Agility 360 is seeking a skilled Loan Servicing Data Transfer Analyst to support a strategic initiative for a client. This role focuses on integrating and mapping data from external real estate and mortgage platforms into our clients' systems, ensuring complete accuracy, and reliability. The ideal candidate will have hands-on experience with MSP (Black Knight) or ICE Mortgage Technology, strong SQL and integration skills, and the ability to bridge business requirements with technical execution. This role plays a key part in modernization of data infrastructure and enables scalable, high-quality data exchange across a large financial ecosystem.

ESSENTIAL JOB FUNCTIONS

  • Design, build, and maintain data integrations between external mortgage/real estate platforms and client's systems
  • Perform data mapping, transformation, and validation to ensure 100% accuracy and completeness of data flows
  • Work with systems such as MSP (Black Knight) and/or ICE Mortgage Technology to extract, transform, and load servicing data
  • Develop and execute SQL queries, scripts, and data pipelines to support integration and reporting needs
  • Collaborate with business stakeholders to gather requirements and translate them into technical data mapping and integration logic
  • Identify, troubleshoot, and resolve data discrepancies, integration issues, and system errors
  • Partner with third-party vendors to support connectivity and integration solutions
  • Ensure data integrity, consistency, and compliance across all systems and integrations
  • Support system enhancements, upgrades, and ongoing data infrastructure modernization initiatives
  • Document data mappings, workflows, and integration processes
  • Act as a liaison between business teams, technology teams, and external partners
EDUCATION / EXPERIENCE REQUIREMENTS
  • Bachelor's degree in Computer Science, Information Systems, or a related field (or equivalent experience)
  • 5+ years of experience in data integration, business systems analysis, or mortgage technology environments
  • Hands-on experience with MSP (Black Knight) and/or ICE Mortgage Technology (Encompass/DNA)
  • Strong understanding of data mapping, ETL processes, and system integrations
  • Advanced SQL skills (data extraction, transformation, validation, performance tuning)
  • Working knowledge of .NET or similar programming languages (C#, etc.)
  • Familiarity with mortgage servicing or real estate system data structures
  • Proven ability to ensure high data accuracy and integrity in complex environments
  • Experience collaborating with vendors and cross-functional stakeholders
  • Strong analytical, problem-solving, and communication skills

ADDITIONAL DETAILS

  • Location: Remote 
  • Salary: Commensurate with experience
Apply Now
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