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

PacifiCorp

Sr. Environmental Analyst

Portland, OR · On-site

Ensure that data collection and reporting is carried out in accordance with company policy and ... For union employees, matching contributions vary by union. For nonunion, PacifiCorp makes a fixed ...

Iq-Credit-Union

Marketing Manager

Vancouver, WA · On-site

$90 - $120/hr

Be part of something uniQueiQ Credit Union is a great place to work and grow and we're looking for ... data analysis, and complex project management. A minimum of three years of direct people-management ...

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

Union Data Analyst information

See Portland, OR salary details

$36.1K

$87.6K

$144.2K

How much do union data analyst jobs pay per year?

As of Sep 6, 2026, the average yearly pay for union data analyst in Portland, OR is $87,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,300.00 and $102,900.00 per year, depending on experience, location, and employer.

What is a union data analyst?

Union Data Analysts are professionals who collect, process, and analyze data relevant to labor unions. They help unions understand workforce trends, membership demographics, collective bargaining outcomes, and other key metrics. Their work supports decision-making during negotiations, strategic planning, and advocacy efforts. By translating complex data into actionable insights, they play a critical role in advancing the goals of labor organizations.

What skills and qualifications are needed to thrive as a union data analyst?

To thrive as a Union Data Analyst, you need strong analytical skills, proficiency in data interpretation, and a background in statistics or a related field, often supported by a bachelor's degree. Familiarity with data analysis tools such as Excel, SQL, or statistical software, as well as experience with labor relations databases, is typically required. Exceptional attention to detail, strong communication abilities, and collaborative skills help you convey complex findings and work effectively with union leaders and stakeholders. These competencies are crucial for providing actionable insights that support negotiations, policy decisions, and member representation.

How does a union data analyst collaborate with union leadership and members to support organizational goals?

Union Data Analysts often work closely with union leadership, organizers, and sometimes directly with union members to gather, interpret, and present data that informs decision-making. They may analyze membership trends, wage data, or workplace issues and communicate findings in clear, actionable reports or presentations. Regular collaboration ensures data-driven strategies support collective bargaining, organize campaigns, and address member concerns effectively. This partnership helps align analytical work with the union’s advocacy and operational priorities.

What is the difference between Union Data Analyst vs Union Data Technician?

AspectUnion Data AnalystUnion Data Technician
Required CredentialsBachelor's degree in data analysis, statistics, or related field; often certifications like CAP or Microsoft Certified Data AnalystAssociate's degree or technical certification in data management or IT; less emphasis on advanced analytics
Work EnvironmentOffice settings, data centers, or remote work; focus on analysis and reportingTechnical support environments, data centers, or on-site; focus on data collection and system maintenance
Employer & Industry UsageUsed across government, manufacturing, and service industries for data-driven decision makingCommon in IT departments, utilities, and manufacturing for data system support

While both roles involve working with data within unionized environments, Union Data Analysts focus on analyzing and interpreting data to inform decisions, whereas Union Data Technicians primarily handle data collection, system maintenance, and technical support. The analyst role typically requires more advanced analytical skills and certifications, while technicians focus on technical support and data management tasks.

Are union data analysts still in demand?

Union data analysts are still in demand as organizations seek professionals skilled in data analysis, reporting, and tools like Excel and SQL. Their expertise supports decision-making and compliance efforts within union environments, maintaining steady employment opportunities.

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

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

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

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

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

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

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

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

Union Data Analyst jobs near you
Infographic showing various Union Data Analyst job openings in Portland, OR as of June 2026, with employment types broken down into 1% Internship, 40% Full Time, 57% Part Time, and 2% Temporary. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $87,640 per year, or $42.1 per hour.

Operational Risk - Data Analyst, Sr - Fraud & Risk

OnPoint Community Credit Union

Portland, OR • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

We're in the financial services industry, but we're not a bank. We're in the "people" business. Inspired by the credit union philosophy of "people helping people," we've developed a strong and growing tradition of investing in our employees, our members, and our community.
OnPoint is the largest community owned credit union in Oregon - and we're growing! Our growth provides great opportunities for you to reach your personal and professional goals. We value enthusiasm, commitment to outstanding performance, and providing opportunities to truly make a difference. If you are looking to join a team of dedicated, collaborative, and passionate individuals, OnPoint is looking for our next Data Analyst Sr. - Fraud & Risk. We invite you to explore and grow your career with us!
JOB SUMMARY:
The Data Analyst Sr. - Fraud & Risk will be responsible for transforming fragmented fraud and risk data into trusted, actionable insights that accelerate fraud detection, investigation, recovery, risk mitigation, and audit readiness. This role operates in an ML-enabled vendor environment, partnering closely with Fraud Operations, Risk, and Technology to extract maximum value from platforms like Verafin while laying the data foundation for future in-house modeling. The analyst will also perform risk data analysis across fraud patterns, operational controls, exposure trends, and model performance to strengthen organizational decision-making.
ESSENTIAL FUNCTIONS:
  • Design and maintain fraud and risk analytics datasets in Databricks sourced from Verafin, Accelerant, Q2, Fed files, and other operational systems.
  • Build governed, repeatable pipelines and curated tables to replace manual Excel/macros processes.
  • Integrate cross-channel fraud and risk views, such as member, account, product, transaction, case, exposure, or control effectiveness.
  • Perform risk data analysis to identify trends, gaps, typologies, control failures, and emerging threats.
  • Conduct quantitative assessments of fraud exposure, loss forecasting, and risk scenario analysis.
  • Partner with Fraud Operations to interpret and operationalize vendor ML outputs, such as risk scores, alerts, typologies.
  • Analyze model performance, false-positive rates, thresholds, and operational impacts on fraud and risk controls.
  • Collaborate with first- and second-line risk teams to ensure model outputs align with broader risk strategies.
  • Develop executive-ready dashboards and investigator-ready reporting with
  • Support audit, compliance, and regulatory requests with defensible evidence, through traceable, well-documented metrics.
  • Contribute to fraud and risk data standards, definitions, metadata, and documentation.
  • Collaborate with Technology and Architecture on data ingestion and quality improvements.
  • Additional projects, responsibilities, or other duties assigned.

KNOWLEDGE, SKILLS & COMPETENCIES:
  • Advanced SQL proficiency, including complex joins, window functions, data cleansing, performance tuning.
  • Strong proficiency with cloud data platforms, such as Databricks, Delta Lake, and distributed data processing.
  • Proven experience withtrend analysis, loss/risk modeling, exposure calculations, scenario analysis.
  • Deep expertise in data quality and governance, such as data lineage, metric definitions, documentation, and standardization.
  • Expert-level knowledge in dashboard and visualization tools, executive reporting, investigator tools, KPI dashboards.
  • Knowledge of python/scripting, including data transformation, automation, and analytics (preferred but not required).
  • Working knowledge of data engineering fundamentals, including data modeling, pipeline development, ETL/ELT, and building curated datasets.
  • Ability to break down complex data issues, identify root causes, and propose actionable solutions.
  • Strong ability to convert data into meaningful operational and risk insights that influence decisions.
  • Strong written and verbal communication, with the ability to communicate complex technical issues to employees at all levels.
  • Ability to collaborate effectively with cross-functional teams, including senior leaders.
  • Working knowledge of fraud schemes, typologies, transaction flows, loss drivers, and enterprise risk frameworks.
  • Knowledge of ML-based alerting systems, risk scoring, thresholding, and model performance concepts.
  • Strong attention to detail, ensuring accuracy, traceability, and defensibility of analyses and reporting.

MIN QUALIFICATIONS:
  • 5 years of experience in data analytics
  • Advanced SQL and experience working with large, messy datasets
  • Experience with Databricks or modern cloud data platforms
  • Proven ability to translate analytics into operational and executive insights

PREFERRED QUALIFICATIONS:
  • 8 years of experience in data analytics, preferably in financial services, risk, or fraud
  • Strong understanding of fraud concepts (alerts, cases, typologies, losses, recovery)
  • Experience working with vendor fraud platforms (e.g., Verafin)
  • Familiarity with model outputs, thresholds, and false-positive tuning
  • Experience supporting audits or regulatory exams
  • Experience with Python or similar scripting for data transformation

OnPoint employees are rewarded, acknowledged and appreciated! We take care of our Members, and OnPoint takes care of us by offering employees a generous vacation package, incentives, competitive hourly pay, 100% - paid employee medical, dental and vision premiums, Tri-Met / parking passes, 401k matching, tuition reimbursement and more!
At OnPoint, we believe a workplace that reflects the richness of the world fosters a welcoming and empowering environment for everyone. We're committed to equity and inclusion, and consider all qualified applicants embracing every race, religion, color, sex, national origin, age, sexual orientation, gender identity, disability or veteran status, and your unique background.
We encourage you to apply if you're passionate about this opportunity and have the core qualifications. Your unique experiences and skills are what make you a strong candidate. Don't let imposter syndrome hold you back! Our recruitment process is designed to be inclusive and accessible to all. If you need any accommodation(s) during the application or interview stage, please let us know. We're dedicated to providing what's necessary to ensure a fair and inclusive experience.

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