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Master Data Analyst Jobs in Remote, OR (NOW HIRING)

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... Analyst to support a strategic Finance data integration and analytics initiative. This individual ... Master, cash application, or related financial processes. * Strong experience translating Finance ...

Be Seen First

... Analyst to support a strategic Finance data integration and analytics initiative. This individual ... Master, cash application, or related financial processes. * Strong experience translating Finance ...

Sr. Data Analytics Engineer

OR · Remote

$125K - $165K/yr

As a Senior Data Engineer, you will design and implement data analytics pipelines, develop high ... Bachelor's degree with typically 5 years of relevant experience or Master's degree with typically 3 ...

With over 5,000 successful projects, we support the full data lifecycle through a unified platform for migration, quality, replication, matching, master data management, analytics, governance, and ...

With over 5,000 successful projects, we support the full data lifecycle through a unified platform for migration, quality, replication, matching, master data management, analytics, governance, and ...

With over 5,000 successful projects, we support the full data lifecycle through a unified platform for migration, quality, replication, matching, master data management, analytics, governance, and ...

With over 5,000 successful projects, we support the full data lifecycle through a unified platform for migration, quality, replication, matching, master data management, analytics, governance, and ...

... analytic workflows through the Quarterly Cost & Resource Utilization Report. Qualifications * Active TS/SCI Clearance. * Master's degree in Data Science, Machine Learning, Statistics, or a related ...

... analytic workflows through the Quarterly Cost & Resource Utilization Report. Qualifications * Active TS/SCI Clearance. * Master's degree in Data Science, Machine Learning, Statistics, or a related ...

... analytic workflows through the Quarterly Cost & Resource Utilization Report. Qualifications * Active TS/SCI Clearance. * Master's degree in Data Science, Machine Learning, Statistics, or a related ...

Senior Lead Analyst - Capital Finance

OR · Remote

$105K - $141K/yr

Lumen is the trusted network for the AIpowered world, connecting people, data, and applications ... Master's degree in Finance, Accounting, Business, or a related field. Compensation This information ...

Sr. Engineer, Site Reliability

OR · Remote

$58.25 - $77.50/hr

With over 5,000 successful projects, we support the full data lifecycle through a unified platform for migration, quality, replication, matching, master data management, analytics, governance, and ...

Sr. Engineer, Site Reliability

OR · On-site +1

$53.50 - $71/hr

With over 5,000 successful projects, we support the full data lifecycle through a unified platform for migration, quality, replication, matching, master data management, analytics, governance, and ...

With over 5,000 successful projects, we support the full data lifecycle through a unified platform for migration, quality, replication, matching, master data management, analytics, governance, and ...

With over 5,000 successful projects, we support the full data lifecycle through a unified platform for migration, quality, replication, matching, master data management, analytics, governance, and ...

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Master Data Analyst information

See Remote, OR salary details

$19

$44

$76

How much do master data analyst jobs pay per hour?

As of Sep 15, 2026, the average hourly pay for master data analyst in Remote, OR is $44.31, according to ZipRecruiter salary data. Most workers in this role earn between $30.48 and $55.24 per hour, depending on experience, location, and employer.

What is a master data analyst?

Master Data Analysts are professionals responsible for managing and maintaining an organization's critical business data, often referred to as 'master data.' This includes key information about customers, products, suppliers, and other core business entities. Their work ensures that data is accurate, consistent, and accessible across different departments and systems. Master Data Analysts also help establish data governance standards, support data integration projects, and troubleshoot data quality issues to support business operations and decision-making.

What does a master data analyst do?

A master data analyst monitors and examines master and key data within a company or organization. As a master data analyst, your job duties include developing databases to support business goals, implementing standards for collecting and storing data, and using data to gain key business insights. The career typically requires a bachelor’s degree in IT, data science, or a related field and work experience in data analysis or software programming. Additional qualifications include strong analytical and computer skills, as well as an understanding of database architecture.

What are the key skills and qualifications needed to thrive as a master data analyst, and why are they important?

To thrive as a Master Data Analyst, you need a strong background in data management, analytics, and a relevant degree such as computer science, information systems, or business. Familiarity with data management tools like SAP, Oracle, SQL, and experience with data governance frameworks or related certifications are typically required. Excellent attention to detail, problem-solving abilities, and effective communication skills help distinguish top performers in this role. These competencies are critical for ensuring data accuracy, supporting business decisions, and maintaining consistent data standards across the organization.

How does a master data analyst typically collaborate with other departments to maintain data quality?

A Master Data Analyst regularly works with teams such as IT, finance, supply chain, and operations to ensure data consistency and integrity across systems. This collaboration often involves participating in cross-functional meetings, clarifying data requirements, and resolving discrepancies in master data. Effective communication and problem-solving skills are essential, as the analyst serves as a bridge between technical and business stakeholders to implement data governance policies and improve data processes.

What is the difference between Master Data Analyst vs Data Analyst?

AspectMaster Data AnalystData Analyst
CredentialsBachelor's degree in data-related field; certifications like CDMP or DAMA often preferredBachelor's degree in statistics, mathematics, or related field; certifications are optional
Work EnvironmentFocus on managing and maintaining master data across departmentsAnalyze data sets to generate reports and insights for decision-making
Industry UsageCommon in organizations with complex data management needsWidespread across various industries for data analysis tasks

The main difference is that a Master Data Analyst specializes in managing and maintaining core organizational data, ensuring data quality and consistency. In contrast, a Data Analyst primarily focuses on analyzing data to support business decisions. Both roles require strong analytical skills, but the Master Data Analyst emphasizes data governance and integrity, often working closely with IT and data management teams.

What jobs can I do with a master's in data analytics?

A master's in data analytics qualifies you for roles such as data analyst, data scientist, business intelligence analyst, and data engineer. These positions involve analyzing large datasets, creating reports, and using tools like SQL, Python, or R to support decision-making across various industries.

What job categories do people searching Master Data Analyst jobs in Remote, OR look for?

The top searched job categories for Master Data Analyst jobs in Remote, OR are:

What cities near Remote, OR are hiring for Master Data Analyst jobs?

Cities near Remote, OR with the most Master Data Analyst job openings:

Infographic showing various Master Data Analyst job openings in Remote, OR as of September 2026, with employment types broken down into 100% Full Time. Highlights an 67% In-person, and 33% Remote job distribution, with an average salary of $92,156 per year, or $44.3 per hour.

Finance Data & Analytics Business Analyst

OR • Remote

Sara Software Systems
IT Services • 11 - 50 employees

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 4 days ago

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Job description

Position Summary 

We are seeking an experienced Finance Data & Analytics Business Analyst to support a strategic Finance data integration and analytics initiative. This individual will serve as a key liaison between Finance business stakeholders and the Data & Analytics technical team, helping translate complex Finance processes, reporting requirements, business rules, and source-system data into well-defined, governed data products. 

This role goes beyond traditional requirements gathering. The successful candidate will work closely with Finance SMEs, Data Architects, Data Engineers, and BI developers to understand how financial data is created and used across multiple source systems; define source-to-target mappings and business rules; support data validation and reconciliation; and ensure the resulting data products accurately represent Finance requirements. 

The role requires a strong combination of Finance domain knowledge, data analysis, business analysis, and technical understanding. 

Key Responsibilities 

  • Partner closely with Finance SMEs and the internal Business Analyst to discover, document, and prioritize business requirements for Finance data and analytics products. 
  • Facilitate requirements and data-discovery sessions with Accounts Receivable, Credit, Finance Operations, and other Finance stakeholders. 
  • Translate business requirements into clear functional requirements, data requirements, business rules, acceptance criteria, and technical specifications. 
  • Analyze existing Finance reports, spreadsheets, dashboards, calculations, and manual processes to understand current-state logic and identify opportunities for standardization and automation. 
  • Work with Finance SMEs to define and document key financial metrics, calculations, dimensions, hierarchies, and reporting definitions. 
  • Develop and maintain source-to-target mappings, including source tables/columns, target data objects, transformation rules, data types, business definitions, and reconciliation requirements. 
  • Partner with Data Architects and Data Engineers to define target data models and ensure technical implementations accurately represent Finance business requirements. 
  • Perform data analysis and profiling across source systems to identify data-quality issues, inconsistencies, gaps, duplicate records, and mapping challenges. 
  • Play a key role in financial data validation and reconciliation, working with Finance and Engineering teams to ensure data in the target platform reconciles with source systems and approved Finance reports. 
  • Define data-quality rules and expected validation controls for critical Finance data elements. 
  • Document data lineage and business definitions to improve traceability, governance, and auditability. 
  • Support functional testing, system integration testing, and UAT by developing test scenarios, expected results, reconciliation criteria, and defect documentation. 
  • Coordinate with Finance SMEs to obtain business validation and formal sign-off on data products, reports, dashboards, and KPIs. 
  • Work with Power BI and Databricks AI/BI capabilities to help translate business requirements into dashboards, semantic models, self-service analytics, and other data products. 
  • Use approved AI productivity tools, such as Microsoft Copilot, to accelerate requirements documentation, data mapping, test-case development, meeting summaries, and other project artifacts while maintaining appropriate review and governance. 

Required Qualifications 

  • 5+ years of Business Analysis, Data Analysis, or Finance Analytics experience, preferably supporting enterprise data integration, data warehouse, lakehouse, or BI initiatives. 
  • Demonstrated experience working with Finance data, preferably Accounts Receivable, Credit, Collections, Customer Master, cash application, or related financial processes. 
  • Strong experience translating Finance business requirements into data requirements and source-to-target mappings. 
  • Experience analyzing data across multiple ERP or financial systems and reconciling information between source systems and reporting platforms. 
  • Strong understanding of data concepts including dimensions, measures, hierarchies, business rules, data quality, lineage, and reconciliation. 
  • Experience working with enterprise ERP platforms such as Oracle E-Business Suite Financials, SAP, or similar financial systems; Oracle EBS experience strongly preferred. 
  • Experience with reporting and analytics platforms such as Power BI, Databricks AI/BI Dashboards, Tableau, or similar tools. 
  • Strong SQL skills with the ability to independently query and analyze data for requirements validation, profiling, reconciliation, and testing. 
  • Experience supporting functional testing and UAT for data and analytics solutions. 
  • Excellent communication skills with the ability to work effectively with both Finance executives/SMEs and highly technical engineering teams. 
  • Strong documentation skills and attention to detail, particularly when documenting financial calculations, mappings, business rules, and reconciliation logic. 

Preferred Qualifications 

  • Experience with Accounts Receivable data, including aging, invoices, payments, credit limits, customer exposure, unapplied cash, collections, and related KPIs. 
  • Experience with Oracle EBS AR and customer-related data structures. 
  • Experience supporting cloud data platforms or lakehouse implementations, preferably Databricks. 
  • Familiarity with medallion/layered data architectures and enterprise data modeling. 
  • Experience establishing data dictionaries, business glossaries, mapping documents, and data-quality rules. 
  • Familiarity with AI-assisted development/productivity tools such as Microsoft Copilot. 
  • Experience working in Agile data and analytics delivery environments. 

Company Description

Sara Software Systems, LLC founded in July 2004 is a small, woman, minority owned and economically disadvantaged 8(a) business as approved by the Small Business Administration (SBA). Owned and managed by experienced IT professionals, we bring a realistic and knowledgeable approach with 15 years of technical excellence to solve complex federal and commercial IT challenges, transform how organizations operate, and protect our Customer's critical infrastructure.
Sara Software Systems, LLC is a process-driven and quality-focused company and we are appraised at Maturity Level (ML) 3 by the CMMI Institute for both DEV + SVC. Our CMMI DEV ML3 appraisal was specifically focused on Agile and DevSecOps. We are International Standards of Organization (ISO) 9001:2015, ISO 20000-1:2011 and ISO 27001:2013-certified.

Sara Software Systems, LLC is a leading technology Services provider with focus in Application Development and Modernization, Agile Transformations, Program Management , Information Technology , Software development, Cybersecurity, IT infrastructure, Business Process Reengineering and Service Desk services for Federal Agencies and commercial organizations. We serve the business needs of our customers by providing strategy, program management, architecture, and sustainment of information technology solutions both in traditional waterfall and agile methodologies that transform ideas to value.