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Performance Data Analyst Jobs in Oregon (NOW HIRING)

NMI

OR

The Data Analyst, Revenue Operations is responsible for turning data from multiple source systems ... performance, trends, and health of the business * Develop and operationalize segmentation and ...

Upstart

Principal Data Analyst, Growth Marketing

OR · On-site +1

$86K - $107K/yr

As a Principal Data Analyst, Growth Marketing at Upstart, you will serve as the lead analytics ... Effectively use analytics to understand user behavior, funnel performance, and the impact of growth ...

Aptive

Data Analyst, Sr - AI Research Systems Support

$85K - $108K/yr

The Senior Data Analyst will support data analysis, reporting, statistical programming, and ... It is currently funded through September 29, 2026 under the current contract period of performance ...

Care Access

Enterprise Performance Analytics Engineer

OR · Remote

$80K - $110K/yr

How This Role Makes a Difference The Enterprise Performance Analytics Engineer will support the ... Minimum Experience: * 1-3 years of experience in a data-related role (e.g., data analyst, data ...

Formfactor

Senior Data Analyst - Financial Analytics

OR · On-site +1

$132K - $173K/yr

We are seeking a highly skilled and motivated Senior Data Analyst to play a pivotal role in ... Build advanced data models to evaluate financial and operational performance, enabling deeper ...

ICI Services

... performance data for review by managers and other stakeholders. * Identify and analyze industry ... trends with business strategy implications. * Maintain library of model documents, templates, or ...

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All JobsPerformance Data Analyst JobsPerformance Data Analyst Jobs in Oregon

Performance Data Analyst information

See Oregon salary details

$35.9K

$87.4K

$143.8K

How much do performance data analyst jobs pay per year?

As of Jul 22, 2026, the average yearly pay for performance data analyst in Oregon is $87,374.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,100.00 and $102,600.00 per year, depending on experience, location, and employer.

What does a Performance Data Analyst do?

A Performance Data Analyst collects, processes, and analyzes data to evaluate the effectiveness and efficiency of business operations, projects, or employee performance. They use statistical tools and data visualization techniques to identify trends, areas for improvement, and opportunities for optimization. Their insights help organizations make informed decisions to enhance productivity and achieve strategic goals. Performance Data Analysts often collaborate with other teams to support data-driven decision-making and reporting.

How does a Performance Data Analyst typically interact with other departments within an organization?

Performance Data Analysts frequently collaborate with various teams, including operations, finance, and management, to gather relevant data and provide actionable insights. They often participate in cross-functional meetings to discuss findings and recommend strategies for performance improvement. Effective communication skills are essential, as analysts must translate complex data trends into clear, practical recommendations tailored to the needs of different stakeholders. This collaborative environment helps ensure that data-driven decisions are integrated into business processes across the organization.

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

To thrive as a Performance Data Analyst, you need strong analytical skills, proficiency in statistics, and a relevant degree in data science, mathematics, or a related field. Familiarity with data analysis tools such as SQL, Python or R, and data visualization platforms like Tableau or Power BI is typically required. Attention to detail, problem-solving abilities, and effective communication are crucial soft skills for interpreting data and presenting insights. These skills ensure accurate performance measurement, actionable insights, and informed decision-making within the organization.

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

AspectPerformance Data AnalystData Analyst
Required CredentialsBachelor's in Data Science, Statistics, or related field; proficiency in data toolsBachelor's in similar fields; strong analytical skills
Work EnvironmentFocus on performance metrics, operational data, and KPIsBroader data analysis across various domains and projects
Employer & Industry UsageUsed in corporate, sports, or government sectors to improve performanceWidely used across industries for general data insights

The Performance Data Analyst specializes in analyzing operational and performance metrics to optimize processes, while the Data Analyst has a broader role in interpreting various data types across multiple domains. Both roles require similar skills and education but differ in focus and application.

Performance Data Analyst jobs near you
Infographic showing various Performance Data Analyst job openings in Oregon as of July 2026, with employment types broken down into 1% Internship, 86% Full Time, 7% Part Time, 1% Temporary, 4% Contract, and 1% Nights. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $87,374 per year, or $42 per hour.
Senior Risk Data Analyst

Senior Risk Data Analyst

Impact Payments Recruiting

On-site, Remote

Contractor

Medical, Retirement, PTO

Posted 13 days ago

Job description

Senior Risk Data Analyst
Overview
The Senior Risk Data Analyst is responsible for delivering data-driven insights that strengthen risk management, compliance oversight, and operational performance. This role partners closely with Risk, Compliance, Underwriting, Product, and Operations teams to develop reporting, analytics, and automation solutions that support informed decision-making across the payments lifecycle.
The ideal candidate combines strong analytical and technical skills with experience working in payments, fintech, or financial services environments.
Key Responsibilities
Analytics & Reporting
Develop and maintain dashboards, KPIs, and reporting related to fraud, return rates, chargebacks, transaction performance, and compliance metrics.
Analyze large datasets to identify trends, anomalies, and emerging risks.
Deliver recurring and ad hoc reporting to business leaders and stakeholders.
Translate complex findings into clear, actionable recommendations.
Risk & Compliance Support
Support monitoring of merchant performance, portfolio health, and transaction risk indicators.
Provide analytical support for compliance reviews, audits, testing programs, and regulatory reporting.
Partner with underwriting and risk teams to identify opportunities for improved controls and decision-making.
Automation & Process Improvement
Build and enhance automated reporting, workflows, and data processes.
Collaborate with Product and Engineering teams to improve data infrastructure and monitoring capabilities.
Support the development of risk monitoring tools, alerts, and decisioning frameworks.
Cross-Functional Collaboration
Work closely with business stakeholders to understand reporting and analytics needs.
Translate business requirements into scalable data solutions.
Present insights and recommendations to both technical and non-technical audiences.
Qualifications
Required
Bachelor's degree in Analytics, Statistics, Mathematics, Computer Science, Economics, or a related field.
5+ years of experience in data analytics, risk analytics, business intelligence, or financial services analytics.
Strong experience with data visualization tools such as Tableau, Power BI, or similar platforms.
Ability to analyze large datasets and communicate insights effectively.
Strong problem-solving, communication, and stakeholder management skills.
Preferred
Experience in payments, fintech, banking, or financial services.
Familiarity with ACH, NACHA rules, transaction monitoring, or payments risk management.
Proficiency with SQL, Python, or similar analytical tools.
Experience with automation, data pipelines, or business intelligence platforms.
Exposure to fraud analytics, risk modeling, or compliance reporting.
What Success Looks Like
Accurate, reliable reporting that supports business and risk decisions.
Actionable insights that identify trends, risks, and performance opportunities.
Increased operational efficiency through automation and process improvements.
Strong support for compliance, audit, and risk management initiatives.
Positive stakeholder feedback and effective cross-functional collaboration.
Compensation & Benefits
Competitive compensation package including base salary, performance incentives, comprehensive health benefits, retirement savings plan, and paid time off.
Work Environment
Remote or hybrid role with a blend of independent analytical work and cross-functional collaboration across Risk, Compliance, Underwriting, Product, and Operations teams.
Education:Employment Type: CONTRACTOR

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