Senior Manager, Merchandise Analytics

October 27 2021
Categories Bank, Insurance, Financial Services, Merchandise Management, Purchasing, Project Management, Business Analysis, Retail, Store Operations - Management, Visual Presentation
Mississauga, ON

Position Summary...

The Merchandise Analytics and Data Science team delivers scalable insights and solutions that drive business performance metrics. Working closely with business partners, the team defines and solves problems that drive ROI. As a Senior Manager, you will be leading insight-driving analyses as well as designing and developing pivotal algorithms and data solutions.

What you'll do...

1. Responsible for building best-in-class, decision support solutions that leverage sophisticated mathematical models and cutting edge machine learning.

2. Drives comprehensive coverage of hypotheses in insight and solution development and demonstrates prudence in balancing business priorities with solution complexity and business impact.

3. Drives effective cross-functional collaboration across various groups, including merchandising, technology, supply chain, ensuring alignment to and achievement of various project goals. Act as subject matter expert on insights and analytics, leading with relevant and impactful recommendations.

4. Thought partner across the business to drive the adoption of solutions and insights and to ensure the achievement of overall business and financial objectives.

5. Define technology roadmap and architecture for production systems. Work closely with onshore and offshore technology teams to deliver tech roadmap in stipulated times.

6. Lead and develop a team of direct report Senior Analysts, by providing relevant technical guidance, and coaching on effective communication, collaboration and leadership. Ensures team remains on cutting edge of Data Science developments and applications and fosters a mindset of continuous improvement and comfort in change and ambiguity.


  • Bachelors/Master’s in engineering, Computer Science, Applied Mathematics, Operations Research or related field, with focus on Business Management
  • 8+ years of experience working in analytics or data-science function. Background in software engineering is a plus.
  • Extensive experience with SQL, R, Python
  • Excellent analytical and data interpretation skills with natural curiosity and strong attention to detail.
  • Strong ability to work cross-functionally, effectively gathering or giving feedback
  • Strong Oral and Written communicator, able to convey complex ideas in simple terms
  • Expert at data and model management
  • Expert at problem-solving, with ability to handle ambiguous and open-ended problems, without compromising solution quality
  • Strong at preparing presentation content for diverse audience groups
  • Extensive experience in building Financial Models and ROI Analyses,
  • Extensive experience in building Logic/ML-based Predictive Models, and Optimization Models
  • Strong in scalable data manipulation technologies such as Spark, Hadoop, Cuda
  • Expert in advanced decision-making techniques using Regression/Classification Machine Learning deployed at scale
  • Ability to coach and mentor data scientists

Minimum Qualifications...

Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications.

Age - 16 or older

Preferred Qualifications...

Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications.

Walmart will accommodate the disability-related needs of applicants and associates as required by law.

Primary Location…

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