Senior Business Analyst (AI)

Company

Oliver Wyman is the management consulting business of hirify.global, providing industry insight, data analytics, and strategic advice to organizations worldwide.

What you will do

• Extract, cleanse, classify, and harmonize procurement data from ERP, accounts payable, and purchase order systems.
• Build multidimensional spend cubes, savings opportunity pipelines, should-cost models, and advanced Excel decision-support tools.
• Write and optimize SQL queries and Python scripts for data extraction, transformation, modelling, and repeatable analytical pipelines.
• Apply generative AI tools to contract analysis, category strategy, RFP summarization, and supplier benchmarking.
• Build machine-learning pipelines for spend classification and predictive models for commodity prices, demand, lead times, and supplier risk.
• Translate ambiguous business questions into structured analyses, communicate findings to senior stakeholders, and deliver actionable recommendations.

Requirements

• 4–6+ years of hands-on experience in procurement analytics, spend analytics, cost modelling, or sourcing analytics.
• Expert Excel modelling skills, with Excel used as a primary delivery medium for business decisions.
• Advanced SQL and Python skills for data extraction, transformation, and modelling; ownership of production-quality code is required.
• Deep knowledge of procurement categories, sourcing, contracts, P2P/S2P, supplier management, and spend taxonomy.
• Hands-on experience applying AI or machine learning to procurement or supply chain challenges, with specific tools, use cases, and measurable outcomes.
• Strong independent problem-solving, analytical rigour, data-quality discipline, and ability to deliver with minimal supervision.

Nice to have

• Consulting or analytics-as-a-service experience.
• Familiarity with ERP and procurement platforms.
• Experience guiding or reviewing junior analysts.
• Senior-level client-facing or stakeholder presentation experience.

Culture & Benefits

• Flexible work environment.
• Commitment to diversity and inclusion across backgrounds and protected characteristics.
• Opportunity to work with consulting teams and senior stakeholders on data-driven business problems.