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Full Time Data Mapping Analyst Jobs in Remote, OR

Support engineering and data science teams with audit and FWA concepts, data mapping, and defining ... Strong analytical skills and ability to approach tasks in a scientific manner. * Background in SIU ...

JIRA Engineer

OR · On-site +1

$49.50 - $64.75/hr

Define data mapping for unsupported or custom configurations. * Develop internal and user facing ... Strong observational skills, analytical, and results oriented. * Strong problem-solving skills, and ...

SOSi is seeking a Data Scientist to support mission requirements for a structured approach to ... analytics project, detailing expected Full-Time Equivalent (FTE) hours, compute costs, storage ...

Data Scientist

OR · On-site +1

SOSi is seeking a Data Scientist to support mission requirements for a structured approach to ... analytics project, detailing expected Full-Time Equivalent (FTE) hours, compute costs, storage ...

... analytics project, detailing expected Full-Time Equivalent (FTE) hours, compute costs, storage ... Master's degree in Data Science, Machine Learning, Statistics, or a related field, or; * nine (9) ...

... analytics project, detailing expected Full-Time Equivalent (FTE) hours, compute costs, storage ... Master's degree in Data Science, Machine Learning, Statistics, or a related field, or; * nine (9) ...

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Showing results 1-20

Full Time Data Mapping Analyst information

See Remote, OR salary details

$34K

$82.6K

$135.9K

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

As of Jun 26, 2026, the average yearly pay for full time data mapping analyst in Remote, OR is $82,559.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,400.00 and $96,900.00 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.
What are popular job titles related to Full Time Data Mapping Analyst jobs in Remote, OR? For Full Time Data Mapping Analyst jobs in Remote, OR, the most frequently searched job titles are:
What job categories do people searching Full Time Data Mapping Analyst jobs in Remote, OR look for? The top searched job categories for Full Time Data Mapping Analyst jobs in Remote, OR are:

Bluespine-Sr. FWA Analyst

Team8

OR • On-site, Remote

Full-time

Posted 5 days ago


Job description

Description
Bluespine is an innovative new startup in the health-IT domain. By employing cutting-edge technologies, Bluespine is developing an engine that detects errors in medical billing, which causes billions of dollars in losses across the entire industry. Bluespine can offer personalized precision by tailoring assessments to each unique medical claim, considering the relevant provider, payer, and plan, and ensuring unparalleled accuracy.
We are looking for a Sr. FWA Analyst experienced in discovering medical billing errors and fraudulent billing patterns of medical claims for commercial payers.
Responsibilities
  • Proactively identify potential instances of fraud, waste, and abuse through data analysis using company systems and tools
  • Support engineering and data science teams with audit and FWA concepts, data mapping, and defining data requirements
  • Determine the likelihood of cases being true error/fraud, based on real-life experience.
  • Validate and help to tune anomaly detection algorithms.

Requirements
  • Hands-on experience exploring and investigating potential medical billing errors/fraud using analytic and SQL/graph-based tools.
  • Extensive knowledge of medical terminology, medical records, health information management, medical coding, DRG methodologies, CPT/HCPCS coding guidelines, physician specialty guidelines, reimbursement programs, claims adjudication processes, member contract benefits, regulatory agency policies (CMS/HCFA, DOI, state regulations), and provider billing systems and practices.
  • Strong analytical skills and ability to approach tasks in a scientific manner.
  • Background in SIU or Payment Integrity.
  • Independent, Organized, and with excellent communication skills.

Advantages
  • Medical/clinical background.
  • Experience with Pharma claims.
  • Billing/coding experience.