Senior Manager Supply Chain, Global Logistics

Walmart • Bentonville, AR

3d • $90,000 - $180,000 • Onsite

About The Position

The Senior Manager Supply Chain, Global Logistics will leverage extensive hands-on experience with SQL to query and process large amounts of data from different data sources such as Big Query and Hive, ensuring consistent data visibility for metrics reporting across all business units. This role involves consolidating dashboards into key standardized ones that address critical business questions and integrating all dashboard applications into a single unified product to maintain consistency and streamline reporting processes. The position will establish reporting standards, create dashboards, and deliver actionable insights to stakeholders, ensuring data insights are accessible and understandable to non-technical stakeholders. Developing and implementing self-service tools that enable the analytics team to generate custom reports and visualizations independently is also a key responsibility. The role requires partnering with Product Analytics Management, Product Managers, Business Strategy, Design, and Engineering teams to define business requirements and analyze existing and new product initiatives. This includes translating business requirements into strategic initiatives, building business cases, and driving business impact. Additionally, the role will foster a high-performing data analytics team culture through effective mentoring, coaching, and training.

Requirements

• Master’s degree or the equivalent in Logistics, Supply Chain, Business, or related field plus 1 year of experience in logistics or area; OR Bachelor’s degree or the equivalent in Logistics, Supply Chain, Business, or related field plus 3 years of experience in logistics or related area.
• Experience with ETL tools to gather data from multiple sources and transform for operations and leadership reporting (Alteryx, Tableau Prep, and Dataiku).
• Experience developing analytical and visibility dashboards using BI tools (Power BI and Tableau).
• Experience coding in SQL to manage relational databases and performing various operations on large datasets.
• Experience using multiple data warehouses and cloud platforms to analyze data and drive business insights (Oracle, MS SQL query, Google Big Query, and Teradata).
• Experience developing process automation to reduce manual touchpoints (VBA Macros and MS Power Automate).
• Experience performing statistical analysis and probabilistic determination to find business patterns and uncover hidden relationship between variables (Regression models, and Minitab).
• Experience performing cost modeling and risk analysis using NPV models in MS Excel.
• Experience building time-series regression frameworks integrating seasonality, promotional lifts, and macroeconomic indicators to improve forecast accuracy and reduce MAPE.
• Experience developing constrained/feasible MPS/DRP plan over aligned time horizon using ERP.
• Experience developing and maintaining advanced analytical models to identify excess and obsolete inventory trends, root causes, and potential financial impacts.
• Experience creating Capacity models and align outcomes with Procurement and sourcing strategies to manage supply chain constraints.
• Experience improving core supply chain KPIs such as fill rate, on-time delivery (OTD), in-stock and lead-time reliability through better planning, inventory positioning and execution.

Responsibilities

• Leverage extensive hands-on experience with SQL to query and process large amount of data from different data sources such Big Query, Hive ensuring consistent data visibility for metrics reporting across all business units.
• Consolidate dashboards into a few key standardized ones that address the most critical business questions and integrating all dashboard applications into a single unified product to maintain consistency and streamline reporting processes.
• Establish reporting standards, create dashboards, and deliver actionable insights to stakeholders.
• Ensure that data insights are accessible and understandable to nontechnical stakeholders.
• Develop and implement self-service tools that enable the analytics team to generate custom reports and visualizations independently.
• Partner with the Product Analytics Management, Product Managers, Business Strategy, Design, and Engineering teams to define business requirements and analyze existing and new product initiatives.
• Translate business requirements into strategic initiatives, build business cases, and drive business impact.
• Foster a high-performing data analytics team culture through effective mentoring, coaching and training.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior