Managing Consultant – Supply Chain Analytics
Minor Hotels Europe and Americas
full-time
Posted on:
Location Type: Hybrid
Location: London • United Kingdom
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About the role
- As a Managing Consultant - Supply Chain Analytics, you will lead strategic transformation initiatives with a strong focus on leveraging data and analytics to optimize supply chain performance.
- You will work with clients to enhance demand and supply planning, forecasting, logistics, procurement, and inventory management by applying advanced analytical techniques, digital tools, and data-driven insights that drive measurable business outcomes.
- This role involves working closely with clients and internal stakeholders to translate complex supply chain challenges into robust solutions that drive measurable impact.
- Use data analytics to assess current supply chain performance and identify inefficiencies across planning, sourcing, logistics, and fulfilment.
- Develop and implement data-informed strategies to improve service levels, reduce costs, and increase supply chain agility.
- Translate complex data into actionable insights and strategic recommendations for senior stakeholders.
- Support clients in building robust demand forecasting and supply planning models using historical data, market trends, and predictive analytics.
- Enhance S&OP processes through data visualization, simulation, scenario modelling, and KPI tracking.
- Analyse supplier performance, spend patterns, and risk exposure to inform sourcing strategies and contract negotiations.
- Develop dashboards and scorecards to monitor supplier KPIs and procurement efficiency.
- Use data to optimize transportation routes, warehouse operations, and distribution networks.
- Apply geospatial and cost-to-serve analytics to improve delivery performance and reduce logistics costs.
- Implement and configure analytics platforms (e.g., Power BI, Tableau, Alteryx) to enable real-time visibility and decision-making.
- Work with ERP and supply chain systems (e.g., SAP, Oracle, Kinaxis, Blue Yonder) to extract and integrate data for analysis.
- Advise clients on the application of leading-edge technologies, such as Generative and Agentic AI, and their benefits.
- Lead cross-functional teams to deliver analytics-enabled supply chain transformation projects.
- Facilitate workshops and training sessions to build client capabilities in data & AI literacy, and supply chain analytics.
Requirements
- A Bachelor’s or Master’s degree in Engineering, Supply Chain, Operations Research, Computer Science, Applied Mathematics, or a related field.
- Proven experience in Supply Chain projects, including:
- Assessing supply chain performance across planning, forecasting, sourcing, logistics, and fulfilment.
- Developing data-informed strategies to improve service levels, reduce costs, and increase agility.
- Supplier performance analysis, spend analytics, and risk exposure assessment.
- Strong understanding of supply chain processes and systems.
- Optimizing transportation routes, warehouse operations, and distribution networks.
- Implementing and configuring analytics platforms for real-time decision-making.
- Familiarity with:
- Data visualization platforms such as Power BI, Tableau, or Qlik.
- Data preparation and automation tools like Alteryx, SQL, or Python.
- Statistical and predictive analytics techniques for forecasting and scenario modelling.
- KPI tracking and dashboard development for procurement and supplier performance.
- Geospatial and cost-to-serve analytics for logistics optimization.
- Artificial intelligence tools and technologies, including Generative and Agentic AI.
- Proficient in:
- ERP and supply chain systems such as SAP, Oracle, Kinaxis, or Blue Yonder.
- Supply chain domain concepts including S&OP, procurement, logistics, and fulfilment.
- Market trends and external data sources used in forecasting and planning.
- It is desired that you have demonstratable experience in the following areas:
- Leading data analytics, data visualisation and artificial intelligence projects.
- Managing the relationship with senior stakeholders and executives and developing sales opportunities at the back of strong relationship building.
- Managing teams and Agile project management/delivery.
- Developing new capabilities and propositions.
- Storyboarding and communicating complex insights in a way that is easily understood.
- Business analysis, business process modelling, requirements analysis or use case modelling.
Benefits
- Hybrid working options and a culture that values work-life integration.
- Structured career progression, leadership programs and hands-on mentorship to ensure you become a better consultant on your own terms.
- A team-oriented environment where collaboration is valued above competition and where success is shared.
- Training to keep our people at the forefront of data innovation.
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
data analyticssupply chain performance assessmentdemand forecastingsupply planningsupplier performance analysispredictive analyticsKPI trackingscenario modellinggeospatial analyticscost-to-serve analytics
Soft skills
leadershiprelationship managementcommunicationteam managementstrategic thinkingproblem-solvingworkshop facilitationclient engagementstoryboardingbusiness analysis