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The Commercial Analytics team collaborates with corporate and private equity clients to drive revenue growth, enhance margins, and increase deal value. We achieve this by applying advanced analytics across pricing, go-to-market strategies, assortment optimization, marketing, sales force effectiveness, and customer strategy, with a particular focus on M&A and transformation initiatives.

As an Associate Manager in EYP Commercial Strategy, you will be a key senior team member driving client value. Responsibilities include developing and delivering data-driven commercial strategies using expertise in commercial analytics and business transformation to boost revenue and optimize margins.

You will design, develop, and implement complex end-to-end analytical solutions and models to enhance client commercial functions. Building strong relationships with EY global offices and understanding regional practices is essential, alongside ensuring high user satisfaction with engagement processes and work products. Innovation in developing industry-leading ML and AI toolkits to standardize offerings is also a core part of this role.

To excel in this role, candidates should possess a postgraduate degree (MBA or Statistics) and 4-6 years of relevant work experience, ideally with consulting or corporate background.

Key capabilities include translating ambiguous commercial questions into structured analytical scopes and delivery plans. You will own the end-to-end quality of analytics deliverables, encompassing logic validation, insight framing, and executive-level communication. Demonstrating proven experience in communicating technical methods to non-technical stakeholders is crucial.

An ability to identify risks and opportunities, lead and develop analytics teams to deliver high-quality insights, and build sustainable internal capabilities and partner relationships is expected. This includes developing standard analytic solutions and assets. Proficiency in Python or R, SQL (including T-SQL), Power BI, and Advanced Excel with VBA is required.

Experience with cloud platforms such as Azure, GCP, or AWS is necessary. Familiarity with AI development and orchestration, including Agentic and RAG models using Langchain and Langgraph libraries, is also a requirement. Adaptability to new challenges and ideas, strong written and verbal communication skills, and a willingness to travel internationally are essential.