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

Robert Half

Payroll Analyst

Portland, OR · On-site

$42.75 - $49.50/hr

Support ongoing employee setup, maintenance, and data integrity within retirement and payroll ... Ability to analyze payroll discrepancies, troubleshoot issues, and communicate resolutions clearly ...

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 ...

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 ...

Amphenol TCS

Signal Integrity Engineer

Vancouver, WA · On-site

$174K/yr

... data center, mobile, RF, networking, industrial, business equipment, and automotive. Position ... Experience with signal integrity and simulation/analysis tools such as Ansys HFSS and Designer, CST ...

Amphenol TCS

Signal Integrity Engineer

Vancouver, WA · On-site

$95K - $135K/yr

... data center, mobile, RF, networking, industrial, business equipment, and automotive. Position ... Experience with signal integrity and simulation/analysis tools such as Ansys HFSS and Designer, CST ...

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

Data Integrity Analyst information

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How much do data integrity analyst jobs pay per hour?

As of Aug 30, 2026, the average hourly pay for data integrity 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 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 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.

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.

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 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.

How much do data integrity analysts make?

Data integrity analysts typically earn a median annual salary ranging from $60,000 to $90,000, depending on experience, location, and industry. Entry-level positions may start lower, while experienced analysts with certifications and advanced skills can earn higher salaries, often supplemented with benefits and bonuses.
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Data Integrity Analyst jobs near you
Infographic showing various Data Integrity Analyst job openings in Portland, OR as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $102,945 per year, or $49.5 per hour.

Data Scientist/Analyst

Impact Scale LLC

Vancouver, WA

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 22 days ago

Job description

Impact Scale LLC is seeking an experienced, highly analytical Data Analyst with a strong background in data analytics, data science, statistics, or a related quantitative field. In this core strategic role, you will take total ownership of transforming massive, complex datasets into actionable growth strategies, optimized operational baselines, and ironclad business decisions across multiple entities.

The ideal candidate does not merely build passive dashboards; you are a data investigator who proactively uncovers hidden revenue drivers, flags operational degradation, and structures predictive models. Partnering directly with cross-functional leadership, you will anchor a culture of relentless, data-driven execution.


Key Responsibilities

Advanced Data Analysis Predictive Insights

  • Trend Anomaly Diagnosis: Extract and clean large, complex datasets across fragmented enterprise systems to identify deep behavioral trends, correlations, patterns, and operational anomalies.

  • Hypothesis Testing: Apply rigorous statistical methods and quantitative approaches to test business assumptions, evaluate campaign performance, and isolate primary revenue drivers.

  • Quantitative Modeling: Architect data models, business forecasts, customer segmentation frameworks, and multi-variable scenario analyses to guide long-term corporate scaling.

  • Proactive Intelligence: Independently surface hidden risks and expansion opportunities, moving aggressively beyond standard predefined reporting requests.

Dashboard Architecture Data Visualization

  • Scalable Business Intelligence: Design, launch, and maintain enterprise-grade dashboards and automated performance measurement infrastructure.

  • KPI Definition: Standardize and monitor mission-critical Key Performance Indicators (KPIs) across all marketing, financial, and operational business lines.

  • Executive Visualization: Synthesize highly technical, multi-layered data points into clean, high-impact visual stories easily digested by both technical engineers and executive leaders.

  • Data Auditing: Run continuous validation processes to investigate reporting discrepancies, tracking drops, or macro performance shifts.

Data Governance, Cleaning Engineering

  • Advanced Querying: Write complex, optimized SQLqueries to join, transform, and validate transactional records and marketing metrics.

  • Data Quality Enforcement: Identify system data friction points and partner with engineering teams to optimize data pipelines, accuracy, and ingest reliability.

  • Knowledge Management: Meticulously document metric definitions, schema changes, and repeatable analytical scripts to support a scalable reporting framework.

Strategic Cross-Functional Collaboration

  • Analytical Partnering: Translate high-level leadership objectives into structured technical data requirements.

  • Operational Optimization: Pinpoint internal workflow inefficiencies and platform waste through deep-dive performance analyses.

  • Framework Development: Build standard measurement frameworks to evaluate the success and ROI of all new business launches and technical updates.

Qualifications Skills

  • Education: Bachelor’s degree in Data Science, Data Analytics, Statistics, Mathematics, Computer Science, Economics, Engineering, or a matching quantitative field required (Master’s degree is a distinct advantage).

  • Experience Level: 3–5+ years of professional corporate experience as a Data Analyst, Data Scientist, Business Intelligence Developer, or a matching highly analytical position.

  • SQL Mastery: Advanced proficiency writing complex SQL queries, handling heavy data preparation, data validation, and multi-table joins.

  • Analytics Stack: Deep hands-on experience building out dynamic dashboards inside Power BI, Tableau, Looker, or Looker Studio. Expert-level Microsoft Excel/Google Sheets modeling capacity.

  • Programming Skills: Strong working familiarity with Pythonor Rfor advanced data manipulation, automation, or statistical processing is highly preferred.

  • Core Attributes: Exceptional problem-solving speed, sharp critical thinking, extreme attention to data integrity, and elite communication skills when explaining complex data patterns to non-technical stakeholders.

Preferred Scaling Competencies

  • Proven experience applying predictive analytics, advanced forecasting, or machine learning frameworks to real-world business infrastructure.

  • Exposure to cloud-based data warehouses (e.g., Snowflake, BigQuery, Redshift) and modern ETL/ELTdata integration pipelines.

Compensation Benefits

  • Health Wellness: Comprehensive medical, dental, vision, and life insurance packages (Available following a standard 90-day introductory period).

  • Retirement: Corporate retirement savings plan options with a traditional 401(k) (Eligible after 90 days of continuous employment).

  • Time Off: Generous Paid Time Off (PTO) allotment and observed holiday schedule

  • Perks Luxury Culture: Daily catered lunches, a fully stocked premium coffee and tea bar, unlimited snacks, and free garage parking. Employees also enjoy routine professional development opportunities within an elite, growth-driven leadership environment in Downtown Vancouver, WA.