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

Pwc

Data Governance- Manager

Portland, OR

$99K - $232K/yr

... Master Data Governance (MDG) - SnowPro Core / SnowPro Advanced - Databricks Certified Data Engineer / Data Analyst / ML Travel Requirements Up to 80% Job Posting End Date The salary range for this ...

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All JobsMaster Data Analyst JobsMaster Data Analyst Jobs in Portland, OR

Master Data Analyst information

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$20

$47

$81

How much do master data analyst jobs pay per hour?

As of Jul 30, 2026, the average hourly pay for master data analyst in Portland, OR is $47.18, according to ZipRecruiter salary data. Most workers in this role earn between $32.50 and $58.85 per hour, depending on experience, location, and employer.

What are Master Data Analysts?

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.

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 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.

Is a master's in data analysis worth it?

For a Master Data Analyst, obtaining a master's degree in data analysis can enhance technical skills, such as proficiency in SQL, Python, and data visualization tools, and may improve job prospects and salary potential. However, practical experience and certifications like Certified Analytics Professional (CAP) can also be valuable in this field. The decision depends on career goals and the specific requirements of employers in data analysis roles.

Is 40 too late for data science?

For a Master Data Analyst, age is not a barrier to entering data science. Many professionals successfully transition into data science roles later in their careers by acquiring relevant skills such as programming, statistics, and tools like Python or SQL, often through online courses or certifications. Experience and continuous learning are valued more than age in the data industry.

Will AI replace a data analyst?

AI can automate routine data processing and basic analysis tasks, but a Master Data Analyst's role involves interpreting complex data, making strategic decisions, and communicating insights, which require human judgment and domain expertise. AI tools are valuable for enhancing efficiency but are unlikely to fully replace skilled analysts who provide critical context and nuanced analysis.

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.

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

A master's in data analysis prepares individuals for roles such as Master Data Analyst, Data Scientist, or Business Intelligence Analyst, involving tasks like data cleaning, statistical analysis, and reporting. It often requires proficiency in tools like SQL, Python, or R and understanding of data management systems. Graduates can work in various industries including finance, healthcare, and technology, often in environments that emphasize data-driven decision making.

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.

More about Master Data Analyst jobs
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What cities near Portland, OR are hiring for Master Data Analyst jobs? Cities near Portland, OR with the most Master Data Analyst job openings:
Master Data Analyst jobs near you
Infographic showing various Master Data Analyst job openings in Portland, OR as of July 2026, with employment types broken down into 87% Full Time, 8% Part Time, 1% Temporary, and 4% Contract. Highlights an 85% Physical, 6% Hybrid, and 9% Remote job distribution, with an average salary of $98,144 per year, or $47.2 per hour.

Enterprise Data Analyst

BizTek People, Inc. | APA International Placement Consultants

Portland, OR • On-site

Contractor

Re-posted 26 days ago

Job description


Responsibilities include:
1. Interpreting data, analyzing results using SQL, Excel, and basic statistical techniques
2. Performing data analyses, analyzing data collection systems and other methods that optimize efficiency and data quality
3. Acquiring data from primary or secondary data sources and maintaining databases
4. Collecting, organizing, and interpreting database metadata (i.e., data structures, data relationships, data element descriptions), and capturing this in our Enterprise Data Catalog.
5. Modelling data, including master data, reference data, and transactional data objects, attributes, and relationships
6. Assessing gaps and conflicts between data definitions across multiple software assets.
7. Creating database schemas from data models.
8. Writing SQL to analyze data and data structures in databases
9. Assessing data quality in assigned data domains.
10. Providing guidance on master data and reference data governance.
11. Assisting with curating the Enterprise Data Catalog to scan new databases, data pipelines, data object definitions, PowerBI reports, and related metadata.
Required Experience & Skills:
1. Strong communication skills including interviewing subject matter experts (business and technical) to capture requirements, and effective writing skills to convey technical options and recommendations, and to produce required documentation such as functional design specifications.
2. At least 5 years of experience working with data modeling tools such as Visio, ERWin, or equivalent.
3. SQL Server Management Studio (SSMS) to analyze data content, data structures, and stored procedures.
4. Data warehouse design including normalized structures for Operational Data Stores, and star schema structures for data marts.
5. On premise and Azure cloud databases including SQL Server and Synapse
Preferred Experience
1. Utility industry knowledge, especially gas utilities
2. Knowledge of typical data patterns for shared services domains such as Finance, Human Resources, and IT
3. Informatica data management tools (eg, Enterprise Data Catalog) including data profiling and data lineage analysis
4. Knowledge of CMDB data models
5. Data Governance principles and methods
6. Reference data management, especially using Informatica Reference360

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