Data Analyst; Merchandising

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.

• 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.

• Bachelor’s degree in a related field is required.
• Strong proficiency in SQL with demonstrated experience using Python or R for data analysis.
• 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 with in large, matrixed retail or consumer organizations is highly preferred.

Up to $48/hr. (DOE)

As an eligible contract employee with Vander Houwen, 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.

Vander Houwen is an Equal Opportunity Employer and participates in E-Verify. Vander Houwen 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.