Oliver Wyman – Senior Business Analyst (SQL & Excel)

Overview

Senior Business Analyst in Oliver Wyman's Data and Analytics team (the DNA centre of excellence), independently managing analytical workstreams and translating business requirements into structured analyses and actionable insights, with a focus on manufacturing environments.

What you'll do

• Lead analytical workstreams using advanced SQL and Excel methods.
• Analyze and interpret financial statements to uncover improvement opportunities or performance gaps.
• Break down ambiguous business questions into structured analytical tasks and clear deliverables.
• Estimate effort based on inputs, expected value, and data complexity.
• Prepare executive-ready summaries that articulate insights clearly and persuasively.
• Ensure data governance, consistency, and adherence to analytical best practices.
• Facilitate requirement-gathering sessions with clients and translate needs into analytical plans.
• Build sophisticated operational, commercial, or financial models to support strategic decisions.
• Mentor analysts in query-writing, modelling, and business understanding.
• Identify risks early, propose mitigation steps, and maintain clear communication on progress.

What you'll need

• Strong analytical thinking with the ability to independently structure and solve business problems.
• Strong business acumen and the ability to connect analytical findings to commercial or operational impact.
• Ability to interpret financial statements and analyze trends in revenue, costs, margins, assets, and cash flows.
• Excellent communication skills to work directly with stakeholders and clarify requirements.
• 4+ years of proven experience with SQL and Excel (non-negotiable), including advanced queries and modeling.
• Experience in KPI modeling, pricing analysis, operational efficiency, or supply chain analytics.
• Ability to guide junior analysts by reviewing their queries, models, and thought process.
• Understanding of data structures, relational tables, joins, and query optimization techniques.
• Ability to work in a fast-paced environment with multiple tasks.
• Strong written and verbal communication skills with demonstrated ability to interact effectively with all levels of stakeholders (both internal and external).

Nice to have

• Prior experience in manufacturing analytics.

Details

• Location: Hyderabad office.
• Willingness to travel as required to meet client needs.
• Hybrid work: in local office or working onsite with clients at least three days per week, with one weekly anchor day for office-based teams.