Senior Merchandising Analytics Manager

• Our Opportunity:

  We are looking for a Senior Merchandising Analytics Manager at our facility in Bellevue, Washington to lead the development of best-in-class analyses for evaluating promotional effectiveness with respect to financial performance, product assortment, site placement, and customer experience measures, partnering with senior cross-functional partners to clarify problem statements and scope.

   

  What You’ll Do: 

  • Independently identify opportunities for application of advanced analytical solutions and models, ultimately deploying these solutions independently or with support from Business Analysts.
  • Leverage large data sets and write advanced SQL code efficiently combining multiple sources to surface actionable insights that support Merchandising in making data driven decisions.
  • Develop a centralized repository of insights on promotion performance and deliver recommendations to business partners for maximizing specific business outcomes.
  • Program manage cross-functional analytics initiatives that require development

  of new data tables and fields, data products, and tools for both internal and external stakeholders.

  • Partner with business analysts and data engineering teams to prioritize and QA development of new data sources, tables, metrics and products.
  • Support Merchandising leadership in understanding and influencing business inputs to drive favorable outputs across customer experience and financial metrics. Intake, translate, prioritize business partner inputs to inform new data products and enhance existing reports.
  • Communicate findings and influence stakeholders at various levels.
  • Lead, coach, and mentor business analysts to help them deliver results, develop analytical skillset, and grow their careers.
  • Local telecommuting permitted up to 3 days per week.
  • 10% domestic travel required.

What You’ll Need:

• Bachelor's degree in Analytics, Statistics, Mathematics, Economics, Information Management, or related field and 6 years of experience.
• Will also accept a Master’s degree and 4 years of experience.
• Experience must include 4 years with the following: writing analytics and technical papers; and
• SQL, Excel, and various technologies such as R and Python.
• Experience must also involve the following: advanced data visualization skills using software, including Tableau and Power BI;
• Financial KPIs and P&L statement with proficiency in executing break-even analyses, NPV, and ROI analyses;
• Executing complex data analyses;
• Independently managing cross-functional projects, delivering high quality results on tight timelines;
• Ecommerce pricing and promotion KPIs;
• Executing complex and large-scale data analyses across millions of records;
• Communicating effectively with technical and non-technical stakeholders and senior leadership;
• Data warehousing and relational or columnar database structure;
• Creating mechanisms to monitor data integrity;
• Data analysis, data modeling, data visualization, forecasting, and ETL processes.
• Local telecommuting permitted up to 3 days per week.
• 10% domestic travel required.
• The position is eligible for the Employee Referral Program.