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

KeyBank

Commercial Analyst

Portland, OR · On-site

Perform annual portfolio data integrity reviews to ensure systems of record (e.g., Salesforce ... Analytical Thinking * Risk Management Core Competencies * All KeyBank employees are expected to ...

Keybank

Commercial Analyst

Portland, OR · On-site

Perform annual portfolio data integrity reviews to ensure systems of record (e.g., Salesforce ... Analytical Thinking * Risk Management Core Competencies * All KeyBank employees are expected to ...

Epitec

Special Exceptions - Eng

Portland, OR · On-site

$30 - $32.50/hr

Our client is seeking a Parts Data Analyst to support the accuracy and integrity of aftermarket service parts data used across critical business systems. This role serves as a key liaison between ...

Hp

Print Supplies Big Data Analyst

Vancouver, WA

$105K - $161K/yr

... pipeline integrity, maintain key business reference and enrichment data, and automate data ... Knowledge & Skills Analytics and problem solving: exploratory analysis, root-cause analysis, metric ...

Holland & Knight

e-Data Services Analyst

Portland, OR

$48.10 - $72.10/hr

Track data acquisition from internal and external resources and verify data integrity * Process and transform electronic material in industry-standard processing tools; analyze and report on same

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

Data Integrity Analyst information

See Portland, OR salary details

$22

$51

$75

How much do data integrity analyst jobs pay per hour?

As of Jul 27, 2026, the average hourly pay for data integrity analyst in Portland, OR is $51.36, according to ZipRecruiter salary data. Most workers in this role earn between $36.73 and $63.99 per hour, depending on experience, location, and employer.

What Does a Data Integrity Analyst Do?

Data integrity analysts manage the security of their company’s data. As a data integrity analyst, you monitor access to information, ensuring that files are only viewed by those authorized to utilize them and that the data is used properly. You also regularly check that the firewall and security systems at the company are up-to-date and still effective in preventing security breaches. Data integrity analysts may work in an office or technical center and must be willing to hold employees accountable for any infractions against data policy.

How does a Data Integrity Analyst typically collaborate with other teams within an organization?

Data Integrity Analysts often work closely with IT, data engineering, and business operations teams to ensure that data remains accurate, consistent, and secure throughout its lifecycle. They participate in regular meetings to discuss data quality issues, share findings from audits, and recommend process improvements. Effective communication skills are essential, as analysts frequently translate technical data integrity concepts for non-technical stakeholders and help implement best practices across departments.

What is a Data Integrity Analyst?

A Data Integrity Analyst is a professional responsible for ensuring the accuracy, consistency, and reliability of data within an organization. They monitor data quality, identify and resolve inconsistencies or errors, and implement processes to maintain high data standards. Data Integrity Analysts often work closely with IT, data management, and business teams to develop and enforce data governance policies. Their role is essential for organizations that rely on accurate data for decision-making, compliance, and operational efficiency.

What are the key skills and qualifications needed to thrive as a Data Integrity Analyst, and why are they important?

To thrive as a Data Integrity Analyst, you need strong analytical abilities, attention to detail, and a background in data management or information systems, often supported by a relevant degree. Proficiency with database management systems (such as SQL), data quality tools, and knowledge of data governance frameworks is typically required. Strong problem-solving, communication, and organizational skills help analysts effectively identify and resolve data discrepancies. These skills ensure the reliability and accuracy of data, which is critical for informed decision-making and maintaining regulatory compliance.

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

AspectData Integrity AnalystData Quality Analyst
CertificationsCertified Data Management Professional (CDMP), Data Management certificationsData Quality certifications, Data Management certifications
Work EnvironmentIT departments, data warehouses, compliance teamsBusiness units, analytics teams, data governance
Employer & Industry UsageFinance, healthcare, technologyRetail, marketing, finance

Both roles focus on data accuracy and reliability but differ in scope. Data Integrity Analysts primarily ensure data remains accurate, consistent, and secure across systems. Data Quality Analysts focus on assessing and improving data quality metrics to support business decisions. While overlapping, their specific responsibilities and environments distinguish them.

More about Data Integrity Analyst jobs
What are popular job titles related to Data Integrity Analyst jobs in Portland, OR? For Data Integrity Analyst jobs in Portland, OR, the most frequently searched job titles are:
What job categories do people searching Data Integrity Analyst jobs in Portland, OR look for? The top searched job categories for Data Integrity Analyst jobs in Portland, OR are:
Data Integrity Analyst jobs near you
Infographic showing various Data Integrity Analyst job openings in Portland, OR as of July 2026, with employment types broken down into 50% Full Time, and 50% Contract. Highlights an 50% In-person, and 50% Remote job distribution, with an average salary of $106,836 per year, or $51.4 per hour.
E-commerce Data & Business Analyst

E-commerce Data & Business Analyst

Continental Marketing, Inc

Tualatin, OR • On-site

$60K - $62K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 27 days ago

Job description

E-commerce Data & Business Analyst
*Hybrid Role typically 4 days in office, 1 Day WFH depending on if there are holidays, pto, etc. Non-negotiable for fully remote. 

Continental Marketing, Inc. (CMI) is an agency that helps manufacturers get products onto the shelves of big-box retailers such as Costco and Kroger, and manages their e-commerce operations across Amazon, Walmart, and, at times, their own D2C. We are hiring an Ecommerce Data & Business Analyst to own the data, reporting, and financial analysis behind that work. This role turns complex datasets into evidence-based insights, maintains clean, reliable reporting and data infrastructure, supports Amazon revenue recovery, and handles the financial documentation that keeps client billing accurate. You will work across Amazon, Costco, and brick-and-mortar channels and report directly to the VP of Ecommerce.

This is a hands-on, detail-driven role for someone who is equal parts analyst and operator. The right person is rigorous with data, comfortable owning recurring deliverables and deadlines across multiple clients, and able to translate numbers into clear recommendations for both internal teams and clients.

KEY RESPONSIBILITIES:
Ecommerce Reporting & Data Integrity:
  • Prepare, publish, and maintain recurring ecommerce performance reports across the client portfolio.
  • Verify and validate ecommerce data integrity before it reaches clients or leadership.
  • Own report accuracy, consistency, and on-time delivery.
  • Turn around ad hoc reporting requests and one-off analytical projects, tracking priorities across competing deadlines.
Statistical Analysis & Testing:
  • Perform statistical analysis and hypothesis testing to support strategic decision-making.
  • Run A/B testing on detail page changes, pricing, and content optimizations.
  • Conduct data mining to identify trends, performance gaps, and growth opportunities.
  • Develop and maintain Total Addressable Market (TAM) reporting for Amazon.
Market & Market Share Analysis:
  • Analyze category movement, competitive shifts, and market share across channels.
  • Validate broader market trends against each client's first-party data.
  • Determine whether changes in sales are market-driven, competitor-driven, or strategy-driven, and give the team accurate context for recommendations.
Amazon Revenue Recovery & Financial Oversight:
  • Support Amazon revenue recovery and dispute processes alongside the dedicated disputes FTE and recovery team
  • Produce executive-level summaries of debits and credits within Amazon accounts, including PO performance, gross payment less shortages, dispute outcomes, and AR/AP alignment with Amazon remittances
  • Implement checks and balances against Amazon audits to keep the financial picture complete and transparent
Data Management & Automation:
  • Maintain and manage the databases and data sources behind team reporting.
  • Support AI implementation and advanced analytics initiatives.
  • Contribute to programmatic automation and workflow optimization to reduce manual reporting dependency.
Billing & Financial Documentation:
  • Prepare and manage client invoices for the team across the portfolio.
  • Ensure invoices accurately reflect services provided and payments received.
  • Maintain financial clarity and operational accountability across the practice.

QUALIFICATIONS:
Required:
  • Authorized to work in the United States without current or future visa sponsorship.
  • 2 to 4 years of experience in data analysis, business analysis, or e-commerce reporting.
  • Advanced Excel skills, including comfort working with large, messy datasets.
  • Strong analytical fundamentals: hypothesis testing, segmentation, trend analysis, and data validation.
  • High attention to detail and a track record of accurate, on-time recurring deliverables.
  • Clear written and verbal communication, including the ability to explain findings to non-technical stakeholders.
A Plus:
  • Experience in an agency or multi-brand environment.
  • Familiarity with Amazon Seller Central and Vendor Central (1P and 3P).
  • Power BI or comparable data visualization tools.
  • SQL or hands-on database management experience.
  • Exposure to revenue recovery, disputes, or AR/AP and financial reconciliation.
  • Experience with market share tools such as Amazon Brand Analytics, Stackline, or Helium10.
  • Interest in AI, automation, Vibe Coding, or scripting (Python, R,) to streamline reporting.

WHAT SUCCESS LOOKS LIKE: (First 6 to 12 months)
  • Recurring reports are accurate, consistent, and delivered on time without leadership rework.
  • Data integrity issues are caught before they reach clients.
  • Amazon revenue recovery is fully tracked and reflected in clean executive financial summaries.
  • Client invoices are accurate and issued on schedule.
  • The team trusts you to own the data and reporting layer end-to-end.

SCHEDULE:
Full-time. Onsite at our Tualatin, OR office during a 30-day probationary period, transitioning to a hybrid schedule upon successful completion.

COMPENSATION:
$60,000 per year

WHY CMI:
CMI manages growth for major manufacturer brands across Amazon, Walmart, Costco, and brick-and-mortar retail. You will work on real budgets, real brands, and real financials, alongside a team that takes analytical rigor seriously. This role offers genuine ownership of the data and reporting that drives client decisions, with room to grow into deeper analytics and automation work.

BENEFITS:
  • Medical, dental, and vision insurance
  • 401(k) eligibility after one year
  • Hybrid schedule following a 30-day probationary period

WORK AUTHORIZATION:
Applicants must be legally authorized to work in the United States. CMI does not provide visa sponsorship for this position, now or in the future.

EQUAL EMPLOYMENT OPPORTUNITY:
Continental Marketing, Inc. is proud to be an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all team members. We consider all qualified applicants for employment without regard to race, color, religion, sex, pregnancy, national origin, age, sexual orientation, gender identity or expression, disability, genetic information, protected veteran status, or any other legally protected characteristic.