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Merchandise Data Analyst Jobs in Oregon (NOW HIRING)

Aquent

Merchandise Planner

Beaverton, OR · On-site

$36 - $40/hr

Analyze critical sales, inventory, and product performance data to proactively identify ... Collaborate extensively with merchandising, ecommerce, inventory, and various business teams to ...

Deckers

Merchandise Planner - MFP

OR · On-site +1

$66K - $89K/yr

Merchandise Financial Planning Manager - UGG Location: Remote - US Interested applicants must ... Proven ability to analyze complex data, forecast business performance, and develop actionable ...

Petco

Merchandise Planner

The Dalles, OR · On-site

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 ...

Petco

Merchandise Planner

The Dalles, OR · On-site

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 ...

Stripe

Fraud Patterns Analyst

OR · On-site +1

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 ...

Columbia

Drop Ship Analyst

Portland, OR · On-site

$81K - $135K/yr

The analyst leverages data and reporting tools to identify trends, resolve fulfillment issues ... Possesses strong understanding of merchandising, buying, product allocation, and retail sales ...

Columbia Sportswear

Drop Ship Analyst

Portland, OR · On-site

$81K - $135K/yr

The analyst leverages data and reporting tools to identify trends, resolve fulfillment issues ... Possesses strong understanding of merchandising, buying, product allocation, and retail sales ...

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Merchandise Data Analyst information

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?

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 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 are popular job titles related to Merchandise Data Analyst jobs in Oregon?

For Merchandise Data Analyst jobs in Oregon, the most frequently searched job titles are:

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:

Merchandise Data Analyst jobs near you
Infographic showing various Merchandise Data Analyst job openings in Oregon as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 15% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution.

Sr. Director, Data & Analytics

KEEN Footwear

Portland, OR • On-site

Full-time

Re-posted 20 days ago

Job description

Job Summary
The Senior Director, Data & Analytics is a strategic enterprise leader responsible for shaping KEEN's data, analytics, SAP S/4HANA transformation, and AI-enabled operating model. This role is accountable for building the data foundation that enables trusted insight, intelligent decision-making, and scalable automation across the business.
This position goes beyond traditional analytics leadership. It connects business strategy, enterprise systems, and data architecture to create measurable advantage across merchandising, DTC, wholesale, supply chain, finance, and global operations. The Senior Director will partner closely with business and technology leaders to translate KEEN's transformation priorities into scalable data capabilities, modern analytics, AI readiness, and actionable decision support.
Success in this role requires deep SAP S/4HANA and data leadership experience, strong business acumen, and the ability to build the data foundation needed for an AI-enabled enterprise.
Essential Functions
Description
  • Lead data and analytics readiness for the SAP S/4HANA program, ensuring master data, KPI definitions, reporting needs, and enterprise data structures support future-state business processes.
  • Define and communicate a compelling enterprise data & AI vision that supports KEEN's commercial strategy, growth ambitions, and long-range planning.
  • Lead enterprise data architecture and platform direction, ensuring scalability, governance, reliability, and future AI enablement.
  • Develop and lead KEEN's AI data readiness strategy, enabling predictive insights, automation, personalization, and intelligent decision support.
  • Identify and prioritize high-impact analytics and AI opportunities across merchandising, DTC, wholesale, supply chain, and finance to deliver measurable business outcomes.
  • Establish enterprise data governance standards, KPI harmonization, and decision rights to improve trust, consistency, and usability of information.
  • Build and develop a high-performing team of Data Architects, Data Engineers, and Technical Data Analysts; strengthen the broader analyst community through education and capability building.
  • Serve as a trusted advisor to executive leadership and communicate progress through business impact metrics, adoption, and value delivered.

Please note this job description is not designed to contain a comprehensive listing of activities, duties, or responsibilities that are required of the employee for this job. Duties responsibilities and activities may change at any time with or without cause.
Qualifications
  • Bachelor's Degree in Computer Science, Data Science, Information Systems, Business Analytics, Engineering, or related discipline required.
  • Master's Degree in Technology, Analytics, or Business Leadership focus preferred.
  • Minimum twelve (12) years of progressive experience in data, analytics, or digital transformation leadership.
  • Minimum of five (5) years leading enterprise-scale data or analytics teams.
  • Strong SAP S/4HANA background required, including experience supporting enterprise process transformation and data readiness required.
  • Strong retail, consumer goods, footwear, apparel, or omnichannel commerce experience required.
  • Demonstrated success applying data, analytics, and enterprise systems to improve revenue growth, margin, inventory optimization, demand forecasting, customer engagement, or operational efficiency required.
  • Experience leading AI readiness or advanced analytics initiatives preferred.
  • Experience operating in federated or hub-and-spoke environments preferred.

Any equivalent combination of experience and education which clearly indicates the ability to perform the essential functions of the position may substitute on a year for year basis.
Knowledge, Skills, and Abilities
Strategic & Industry Expertise
  • Deep understanding of retail / consumer operating models (DTC, wholesale, merchandising, supply chain, planning, inventory lifecycle).
  • Ability to connect analytics, SAP S/4HANA Embedded analytics, and AI initiatives directly to business KPIs and financial outcomes.
  • Strong business acumen with the ability to quickly understand operating nuances and market dynamics.
  • Visionary mindset with the ability to articulate a practical enterprise transformation roadmap.

Technology & Architecture Leadership
  • Strong knowledge of SAP S/4HANA and how ERP design impacts data, reporting, and decision-making.
  • Expertise in enterprise data architecture, cloud data platforms, BI ecosystems, and integration frameworks.
  • Experience building governed semantic layers and standardized KPI frameworks.
  • Strong understanding of AI/ML enablement, data quality frameworks, and responsible AI governance.
  • Ability to build the data foundation required for scalable AI use cases.

Leadership & Organizational Impact
  • Proven ability to influence executives and senior business leaders.
  • Strong change management and communication skills.
  • Experience building and scaling enterprise capability functions and cross-functional teams.
  • Ability to unify technical and business stakeholders around shared goals.
  • Demonstrated ability to balance innovation with operational excellence.

Travel Required: Yes, 5% of the time.
Base Salary: $217,600.00 - $229,615.00
The salary range posted for this position represents the anticipated hiring range for this role. Offers are made within this range based on factors such as relevant experience, skills, education, internal equity, and market considerations. This is the hiring range for the position; compensation above the posted maximum is not typically available at the time of offer.
Work Location: Hybrid
This role is based in the Portland, OR area and follows a hybrid work model. Employees are expected to reside within a reasonable commuting distance of our Portland office and generally work on-site four days per week, with flexibility based on business and team needs.
Why Work at KEEN: Driven by a passion for life outside, KEEN is a values-led, independently owned brand from Portland, Oregon, that's on a mission to create original and versatile products, improve lives, and inspire outside adventure. Founded in 2003, KEEN launched a revolution in the footwear industry with the introduction of the Newport adventure sandal and has donated more than $18 million to non-profit organizations and causes around the world to promote responsible outdoor recreation, including conservation efforts to protect open spaces. KEEN strives to show the world through its products and its actions that a business for good can actually be good for business. By giving back, reducing impact, and activating communities and individuals to protectthe places where we work and play, KEEN puts its values in motion and takes action to leave the world a better place.
At KEEN, we believe in a more just and equitable future for all people. As a global brand, we acknowledge that our business, buildings, and daily lives exist within the traditional territories of indigenous peoples. We strive for a future that recognizes the knowledge, rights, and resilience of these peoples.
Fuerst Group, KEEN, and Chrome are equal opportunity employers. We value an inclusive and diverse community. Qualified candidates of all backgrounds are encouraged to apply and will be considered without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity, gender expression, veteran status, or disability.

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