Technical practice
How would you frame a supply chain business problem as an analytics project?
What to coverThe role calls for applying data science to client supply chain problems and developing data-driven recommendations. Suggested preparation: Explain how you would define the decision, identify relevant data, choose a measure of business performance, and turn findings into an actionable recommendation.
How would you use statistical analysis to support a supply chain decision?
What to coverThe posting asks for insights supported by statistical concepts. Suggested preparation: Discuss how you would test whether a pattern is meaningful, communicate uncertainty, and avoid treating correlation as proof of a cause.
How would you design a data model for a supply chain analytics project?
What to coverData modeling developed through client projects is a stated must-have skill. Suggested preparation: Explain your choice of entities and granularity, how you would connect data sources, and how you would check that the model supports the intended analysis.
What would you investigate during exploratory analysis and preprocessing?
What to coverThe posting explicitly calls for exploratory data analysis and data preprocessing to solve business problems. Suggested preparation: Cover data quality, missing or inconsistent values, unusual patterns, and how preprocessing choices could change the conclusions.
How would you use SQL to prepare data for descriptive supply chain analysis?
What to coverSQL for data preparation, manipulation, and descriptive analysis is required. Suggested preparation: Walk through joins, aggregation, and checks for duplicates or mismatched granularity, explaining how you would validate the resulting measures.
How would you build and evaluate a machine learning analysis in Python or PySpark?
What to coverThe role calls for hands-on Python or PySpark for data manipulation, visualization, and machine learning models. Suggested preparation: Explain how you would select an approach suited to the business question, evaluate it against a baseline, and communicate its limitations.
How would you use a cloud platform in an analytics workflow?
What to coverProficiency in at least one of Azure, GCP, or AWS is required. Suggested preparation: Describe a workflow you can explain from data preparation through analysis, including how you would verify outputs and handle access to client data.
When would simulation or optimization help with a supply chain decision?
What to coverSimulation and optimization are listed as good-to-have experience. Suggested preparation: Contrast exploring outcomes under uncertain conditions with selecting a solution under constraints, and explain what assumptions you would validate before recommending action.
How would you present analytical findings in a dashboard?
What to coverTableau or Power BI is listed as good-to-have, alongside a requirement for data visualization. Suggested preparation: Explain how you would choose measures and visuals for a business decision, make caveats visible, and check that the dashboard agrees with the underlying analysis.
How would you assess whether a planning platform is relevant to a proposed solution?
What to coverExposure to Blue Yonder, Anaplan, o9, Kinaxis, or SAP IBP is listed as good-to-have. Suggested preparation: Discuss how you would assess fit against the client's planning process, available data, and intended decision without assuming any particular platform is required.
Behavioural practice
Tell me about a time you turned analysis into a client recommendation.
What to coverThe role includes strategic advisory work and data-driven recommendations. Suggested practice: Use situation, action, and result to explain the business question, how you connected evidence to your recommendation, and what happened next.
Tell me about a time you worked through differing stakeholder priorities.
What to coverThe posting mentions business transformations and lists stakeholder management as good-to-have. Suggested practice: Describe the situation, the actions you took to clarify priorities and reach a workable decision, and the result.
Tell me about a time you solved a problem in a fast-paced environment.
What to coverThe posting calls for analytical problem-solving in a fast-paced, dynamic environment. Suggested practice: Set out the situation, how you prioritized and checked your work under time pressure, and the result.
Tell me about a time you contributed to a reusable analytical asset.
What to coverContributing to asset development initiatives is part of the role. Suggested practice: Describe the situation, your specific contribution and how you made the work usable beyond its initial purpose, and the result.
Tell me about a time you communicated complex findings to a nontechnical audience.
What to coverExcellent written and oral communication is a stated requirement. Suggested practice: Explain the situation, how you adapted your message while preserving important caveats, and the result of that communication.