VanderHouwen
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.
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.
Qualifications
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 within large, matrixed retail or consumer organizations is highly preferred.
Compensation Up to $48/hr. (DOE)
Benefits 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.
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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This role is a hybrid model in Beaverton, Oregon.
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.
Qualifications
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 within large, matrixed retail or consumer organizations is highly preferred.
Compensation Up to $48/hr. (DOE)
Benefits 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.
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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