Data Analyst (Merchandising) in Beaverton, Oregon - #71130 | VanderHouwen

Description

Job Id: 71130

Data Analyst (Merchandising)
Our client is seeking a Data Analyst (Merchandising) to support data-driven decision-making across product, assortment, and marketplace strategies. This role is ideal for a technically strong analyst who thrives in ambiguity, enjoys translating complex data into clear insights, and can partner closely with business stakeholders in a fast-paced, matrixed environment. The ideal candidate brings strong retail analytics experience, advanced technical skills, and the ability to influence decisions through storytelling and visualization.

This role is a hybrid model in Beaverton, Oregon.

Data Analyst (Merchandising) Responsibilities

• Analyze large, complex datasets using advanced SQL and Python or R to uncover insights related to product performance, assortment strategy, pricing, and distribution.
• Develop, maintain, and deliver Tableau dashboards and visualizations that clearly communicate findings to non-technical business partners.
• Work with point-of-sale and marketplace data to identify trends, risks, and opportunities that inform merchandising decisions.
• Integrate and reconcile data from multiple sources to build accurate, scalable analytical frameworks and models.
• Partner closely with merchandising, planning, operations, and analytics teams to support strategic initiatives and ongoing analysis.
• Translate analytical findings into actionable recommendations through clear data storytelling and executive-ready materials.
• Manage multiple analytical projects simultaneously while navigating evolving priorities and loosely defined objectives.

Data Analyst (Merchandising) Qualifications

• Bachelor’s degree in a related field is required.
• Advanced proficiency in SQL, with hands-on experience using Python or R for data analysis reflected on the resume.
• Advanced experience building dashboards and visualizations in Tableau.
• Proven background in data analytics, with retail or point-of-sale data experience strongly preferred.
• 3+ years of experience in analytics, data science, or a related quantitative discipline.
• Experience working with modern data environments such as Snowflake or Databricks.
• Solid understanding of statistics and analytical methodologies, with the ability to build or interpret basic data models.
• Ability to communicate complex analyses clearly to business and senior stakeholders.
• Comfort working in a fast-paced, ambiguous environment with a bias toward action.
• Experience within large, matrixed retail or consumer organizations is highly preferred.

Compensation: Up to $48/hr. (DOE)

VanderHouwen Contractors Enjoy Exceptional Benefit Perks!
As an eligible contract employee with VanderHouwen, you’ll have access to a full suite of benefits designed with your well-being in mind. Our comprehensive package includes medical, dental, vision, life insurance, short- and long-term disability, and a matching 401(k) to help secure your future.

Meet VanderHouwen
What kind of recruiter do you see yourself working with? One who prioritizes your best interest, no matter what? VanderHouwen does, and we’re in it for the long game! Our recruiters focus on YOU, building meaningful, long-term relationships while developing a deep understanding of companies’ staffing needs and workplace cultures. This approach helps us find an ideal job match that aligns with your unique career aspirations and goals.

VanderHouwen is an award-winning, Women & Diversity-Owned, WBENC certified professional staffing firm. Founded in 1987, VanderHouwen places experienced professionals across the nation! Our recruitment teams specialize in either Technology and IT, Engineering, Human Resources, or Accounting and Finance career markets. Partner with us to land your next exciting career!

VanderHouwen is an Equal Opportunity Employer and participates in E-Verify. VanderHouwen does not discriminate based on race, color, religion, sex, national origin, age, disability, or any other characteristic protected by applicable local, state, or federal civil rights laws.

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