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Merchandise Data Analyst Jobs in Oregon (NOW HIRING)

Purpose of Role Under Armour is searching for a skilled Lead, Enterprise Data Analytics to join our ... Retail, Wholesale, Ecommerce, Supply Chain, Sales, Finance, Merchandising, Marketing, Accounting ...

$110K - $120K/yr

This role is critical to transforming complex operational and financial data into actionable ... Employee recognition platform that includes opportunities to redeem points for merchandise

$110K - $120K/yr

This role is critical to transforming complex operational and financial data into actionable ... Employee recognition platform that includes opportunities to redeem points for merchandise

... data systems and analytics to solve problems and drive results. ● Recap and analyze the business ... merchandise assortment planning, inventory management, and financial forecasting. ● Proven ...

Develop and maintain merchandise financial plans by category, season, and store/channel * Forecast ... Analytical Thinking: Strong ability to interpret data and forecast trends * Retail Acumen: Deep ...

Develop and maintain merchandise financial plans by category, season, and store/channel * Forecast ... Analytical Thinking: Strong ability to interpret data and forecast trends * Retail Acumen: Deep ...

Conduct advanced data analysis of structured and unstructured data sets to proactively identify ... Utilize Stripe tools and systems to enable systematic actioning of fraudulent merchants ...

Sr. Data Steward

OR · On-site +1

$75K - $100K/yr

Proficiency with SQL and analyzing large datasets. * Proven experience defining, motivating, and ... Under Armour Merchandise Discounts * Competitive 401(k) plan matching * Maternity and Parental ...

... on merchant sales through increased conversions and higher order values. As we continue to shape ... You will leverage data analytics, investigation tools, and industry knowledge to identify, mitigate ...

Resource Adequacy Analyst

Portland, OR · On-site +1

$98K - $111K/yr

... merchant transmission, or long-term resource planning What You'll Do: In this role, you will support the Western Resource Adequacy (WRAP) Forward Showing Program by analyzing data, reviewing ...

Lead a team of technical roles across data science and analytics engineering to shape the measurement and innovation strategy for the personalization and merchandising spaces, balancing the needs of ...

OR

$105K - $143K/yr

The Analytics team is evolving our enterprise capabilities from foundational governance into a ... What Will Make You Stand Out: * Deep domain expertise navigating complex merchant payment ...

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Showing results 1-20

Merchandise Data Analyst information

What is the difference between Merchandise Data Analyst vs Inventory Analyst?

AspectMerchandise Data AnalystInventory Analyst
Required CredentialsBachelor's in Business, Data Analytics, or related field; proficiency in data toolsBachelor's in Supply Chain, Logistics, or related; strong analytical skills
Work EnvironmentRetail or e-commerce companies; data-driven teamsWarehouses, distribution centers, retail stores
Employer & Industry UsageUsed in retail, fashion, and consumer goods industriesCommon in retail, manufacturing, and logistics sectors
Comparison Search IntentAnalyzing sales data, product performance, and trendsManaging stock levels, replenishment, and supply chain efficiency

The Merchandise Data Analyst focuses on analyzing sales and product data to optimize merchandising strategies, while the Inventory Analyst concentrates on managing stock levels and supply chain operations. Both roles require analytical skills and industry knowledge but serve different aspects of retail operations.

What does a Merchandise Data Analyst do?

A Merchandise Data Analyst is responsible for collecting, analyzing, and interpreting data related to merchandise sales, inventory, and customer behavior. They use this information to identify trends, forecast demand, and make recommendations that optimize product assortments and inventory levels. Their insights help retailers improve sales performance, reduce stockouts and overstocks, and enhance customer satisfaction. Merchandise Data Analysts often work closely with buying, marketing, and supply chain teams to support strategic decision-making.

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

To thrive as a Merchandise Data Analyst, you need strong analytical abilities, a solid understanding of retail operations, and proficiency in data analysis, typically supported by a degree in business, mathematics, or a related field. Expertise in tools such as Excel, SQL, Tableau, and experience with merchandising or inventory management systems is highly valuable. Attention to detail, problem-solving skills, and effective communication are critical soft skills for interpreting data and collaborating with cross-functional teams. These skills ensure accurate insights and recommendations that drive inventory optimization, sales growth, and strategic retail decisions.

How does a Merchandise Data Analyst typically collaborate with merchandising and buying teams to influence product assortment decisions?

As a Merchandise Data Analyst, you will work closely with merchandising and buying teams by providing data-driven insights on sales trends, inventory levels, and customer preferences. Your analyses help inform decisions about which products to stock, discontinue, or promote, ensuring that assortments align with market demand and company goals. Regular meetings and cross-functional projects are common, where you'll present findings and recommendations, making your role highly collaborative and influential in shaping the product mix.
What job categories do people searching Merchandise Data Analyst jobs in Oregon look for? The top searched job categories for Merchandise Data Analyst jobs in Oregon are:
What cities in Oregon are hiring for Merchandise Data Analyst jobs? Cities in Oregon with the most Merchandise Data Analyst job openings:
Infographic showing various Merchandise Data Analyst job openings in Oregon as of July 2026, with employment types broken down into 67% Full Time, 7% Part Time, 25% Contract, and 1% Nights. Highlights an 61% Physical, 5% Hybrid, and 34% Remote job distribution.
Senior Risk Data Analyst

Contractor

Medical, Retirement, PTO

Posted 16 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