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

Hp

Big Data Laser Analyst

Vancouver, WA

Investigate data quality issues (completeness, accuracy, timeliness), perform root-cause analysis across pipelines and sources, and communicate impacts and remediation paths with appropriate caveats.

Impact Scale LLC

Data Scientist/Analyst

Vancouver, WA

$90K - $120K/yr

Identify data quality issues and collaborate with relevant teams to improve data accuracy, consistency, and reliability. * Develop repeatable analytical processes and documentation to support ...

Hp

Print Supplies Big Data Analyst

Vancouver, WA

$105K - $161K/yr

This position sits at the intersection of analytics, data quality, product data stewardship, monthly reporting operations, and forecasting enablement. In this role, you will partner closely with data ...

Astrix Inc

Quality Inspector I

Clackamas, OR · On-site

$22 - $23/hr

Quality Inspector I Location: Portland, OR (Fully Onsite) Schedule: Night Shift | Sun-Thurs | 10:00 ... This role also reviews documentation and analytical data for finished product release while ...

CCSWW

FBH Quality Management Analyst

Vancouver, WA

$32.76/hr

Quality Management Analyst Opportunity VANCOUVER, WA (Oak View site near the Vancouver Mall ... JOB SUMMARY Ensure data entry integrity * Take lead responsibilities, along with Clinical ...

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All JobsData Quality Analyst JobsData Quality Analyst Jobs in Portland, OR

Data Quality Analyst information

See Portland, OR salary details

$21

$49

$72

How much do data quality analyst jobs pay per hour?

As of Aug 24, 2026, the average hourly pay for data quality analyst in Portland, OR is $49.49, according to ZipRecruiter salary data. Most workers in this role earn between $35.38 and $61.63 per hour, depending on experience, location, and employer.

What is a data quality analyst?

Data Quality Analysts are professionals responsible for ensuring the accuracy, consistency, and reliability of data within an organization. They analyze data sets to identify errors, inconsistencies, or gaps and develop processes for improving data quality. Their work often involves monitoring data flows, creating data quality reports, and collaborating with teams to implement data governance standards. By maintaining high-quality data, they help organizations make informed decisions and meet regulatory requirements.

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

A Data Quality Analyst requires strong analytical skills, attention to detail, and a background in data management or statistics, often supported by a relevant degree. Familiarity with data profiling tools, SQL, Excel, and data quality management systems, as well as certifications like CDMP, are typically needed. Excellent problem-solving abilities, communication skills, and a proactive mindset help analysts identify and resolve data issues effectively. These competencies ensure organizational data is accurate, reliable, and actionable, which is critical for informed decision-making.

What are some common challenges data quality analysts face when handling large datasets, and how can they be addressed?

Data Quality Analysts often encounter challenges such as inconsistent data formats, missing values, and duplicate records when working with large datasets. Addressing these issues requires a combination of automated data profiling tools, well-defined data governance procedures, and close collaboration with data engineers and business stakeholders. Regular communication and clear documentation help ensure data standards are maintained and issues are quickly identified and resolved, ultimately supporting more reliable business decision-making.

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

AspectData Quality AnalystData Analyst
Primary FocusEnsuring data accuracy, completeness, and reliabilityAnalyzing data to identify trends and support decision-making
Skills & CertificationsData quality tools, SQL, data governance certificationsData visualization, statistical analysis, SQL
Work EnvironmentData governance teams, IT departmentsBusiness units, analytics teams
Industry UsageFinance, healthcare, retail, where data integrity is criticalMarketing, finance, operations, for insights and reporting

While both roles work with data, Data Quality Analysts focus on maintaining data integrity and quality standards, whereas Data Analysts interpret data to generate insights. Both roles often collaborate but serve different core functions within organizations.

What are the most commonly searched types of Data Quality Analyst jobs in Portland, OR?

The most popular types of Data Quality Analyst jobs in Portland, OR are:

What are popular job titles related to Data Quality Analyst jobs in Portland, OR?

For Data Quality Analyst jobs in Portland, OR, the most frequently searched job titles are:

What job categories do people searching Data Quality Analyst jobs in Portland, OR look for?

The top searched job categories for Data Quality Analyst jobs in Portland, OR are:

What cities near Portland, OR are hiring for Data Quality Analyst jobs?

Cities near Portland, OR with the most Data Quality Analyst job openings:

Data Quality Analyst jobs near you
Infographic showing various Data Quality Analyst job openings in Portland, OR as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 14% Part Time, 4% Contract, and 1% Nights. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $102,945 per year, or $49.5 per hour.

Enterprise Data Analyst

BizTek People, Inc. | APA International Placement Consultants

Portland, OR • On-site

Contractor

Re-posted 21 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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