Senior Merchandising Analytics Manager

Our Opportunity:
Chewy is looking for a passionate, data-driven Senior Merchandising Analytics Manager to join our Merchandising Analytics Team. Within Chewy, the Merchandising Analytics team is focused on utilizing data to understand and influence business actions to drive favorable financial performance and exceptional customer experience for our pet parents. In this role, the Senior Merchandising Analytics Manager will directly support our Category Management Analytics function, with an emphasis on Promotions Analytics. They will be responsible for programmatic analytical deep dives on promotion efficacy, provide ongoing recommendations, and program managing promotional reporting, including building and maintaining core reporting tools to drive continuous improvements in business decision making processes analyzing Merchandising data sets to address complex problems.
The ideal candidate will have an exemplary background in analytics, a deep understanding of data-driven decision-making, a passion for driving results in a fast-paced environment, and proven experience in delivering decision-oriented insights for senior leadership. This individual is also highly proficient in developing and executing cross-functional project plans while being able to operate with minimal direction from leadership. Additionally, the individual would partner closely with the Data Science team to develop roadmaps to increase the assessment of promotional activity. The person in this role will work with cross-functional teams throughout the organization to optimize promotion strategy.
What you'll do:

• 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
• 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 manages 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

What you'll need:

• Bachelor's or Master's degree in a quantitative field (e.g., Analytics, Statistics, Mathematics, Economics, Information Management) or related discipline with analytical emphasis.
• 5+ years of directly transferrable work experience (e.g., data analysis and modeling, data visualization, forecasting, ETL processes, etc.)
• Advanced proficiency in SQL, Excel, and various technologies such as R, Python, etc.
• Advanced data visualization skills using software such as Tableau, Power BI, etc.
• Thorough understanding of Financial KPIs and P&L statement with proficiency in executing break-even analyses, NPV, and ROI analyses
• High degree of proficiency with executing complex data analyses
• Ability to independently lead cross-functional projects, delivering high quality results on tight timelines
• Strong understand of Ecommerce pricing and promotion KPIs
• High degree of proficiency executing complex and large-scale data analyses across millions of records
• Excellent oral and written communication skills with the ability to communicate effectively with technical and non-technical stakeholders and senior leadership
• Strong understanding of data warehousing and relational or columnar database structure
• Superior attention to detail and experience creating mechanisms to monitor data integrity
• Ability to operate in ambiguous environments with speed and commitment to quality
• Ability to travel up to 10% of the time

Bonus:

• Modeling experience in pricing or promotions
• Project Management Certification

The specific salary offered to a candidate may be influenced by a variety of factors including but not limited to the candidate's relevant experience, education, and work location. In addition, this position is eligible for 401k and a new hire and annual equity grant.
We offer different types of insurance, such as medical/Rx, vision, dental, life, disability, hospital indemnity, critical illness, and accident. We offer parental leave, family services benefits, backup dependent care, flexible spending accounts, telemedicine, pet adoption reimbursement, employee assistance program, and many discounts including 10% off pet insurance and 20% off at Chewy.com.
Salaried-exempt team members have unlimited PTO, subject to manager approval. Team members will receive six paid holidays per year. Team members may be eligible for paid sick and family leave in compliance with applicable state and local regulations.
Base Salary Range
$155,500-$222,000 USD
Chewy is committed to equal opportunity. We value and embrace diversity and inclusion of all Team Members. If you have a disability under the Americans with Disabilities Act or similar law, and you need an accommodation during the application process or to perform these job requirements, or if you need a religious accommodation, please contact [email protected].
If you have a question regarding your application, please contact [email protected].
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