Senior Manager, Advanced Analytics

Overview

Position Summary...

What you'll do...What you'll do...

The Store Delivery team manages process improvement efforts by contributing to the design, development, and delivery of new ways of working between supply chain stakeholders; presenting new ways of working efforts and continuous improvement recommendations to leadership; prioritizing product flow plan objectives; ensuring flow plans are achievable; championing innovation to simplify current solutions and methodologies; managing the correction of errors processes and feedback loops;

identifying areas of opportunity to improve service levels; supporting the use of end-to-end costing methodology and lean concepts; providing cost recommendations to reduce process waste, and provide opportunities for cost reductions and process efficiencies; and reviewing and analyzing the impact and benefits to internal processes.

As a Sr Manager in our team, you will act as a Supply Chain Delivery Design expert inspiring teams and leaders to transform the way we operate and to make data-driven decisions. You will apply your data analysis skills to support the execution and evolution of our on-going initiatives and provide actionable insights to achieve results in Walmart’s U.S. Supply chain and Stores network.

You will serve as a trusted partner/advisor and collaborate with different areas across the company to design, maintain, and share our business insights. You will influence decisions at the highest levels of the organization.

If you are motivated by complex, purposeful challenges, this role, with the world’s largest retailer, could be the fit you have been looking for.

You’ll sweep us off our feet if:

• You have prior experience in retail space with a preferred background in transformational roles from Replenishment, Supply Chain and Stores operations.
• You have strong exploratory data analysis skills and ability to make analytical, data driven recommendations and solutions
• You are experienced with languages used to manipulate data and draw insights from large data sets (SQL, Python etc.,)
• You have strong storytelling experience with data visualizations in Tableau, Looker, etc.
• You have Compelling, persuasive oral and written communication skills and can build strong cross-functional relationships
• You are comfortable with shifting priorities in fast moving environment

You’ll make an impact by:

• Partnering with business and product stakeholders to solve challenging business problems and identify trends and opportunities
• Applying your expertise in quantitative analysis, data mining, and the presentation of data to see beyond the numbers and provide actionable insights
• Defining and evaluating key performance metrics for new product launches
• Developing data visualizations to monitor and quantify the impact of the product initiatives and unique business challenges
• Identifying new levers to help improve key financial data insights, understanding root causes for change in metrics
• Collaborating with data stewards and data engineering team to gather and process right information from various sources
• Working effectively cross-functionally and communicate data and insights to non-tech leadership team

Minimum Qualifications...

Option 1:
Bachelor’s degree in Business, Engineering, Statistics, Economics, Analytics, Mathematics, Arts, Finance or related field and 2 years' experience in data analysis, data science, statistics, or related field. Option 2:
Master’s degree in Business, Engineering, Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field. Option 3: 4 years' experience in data analysis, data science, statistics, or related field.

Preferred Qualifications...

Data science, data analysis, statistics, or related field, Master’s degree in Business, Computer Science, Engineering, Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field, Related industry experience (for example, retail, merchandising, healthcare, eCommerce), Successful completion of assessments in data analysis and Business Intelligence tools and scripting languages (for example, SQL, Python, Spark, Scala, R, Power…