Oliver Wyman - Senior Business Analyst (SQL & Excel) - Hyderabad
Marsh McLennan is hiring an Oliver Wyman - Senior Business Analyst (SQL & Excel) - Hyderabad (India). Level rates it ; you can apply on Marsh McLennan.
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- Level rates this business analyst role Little AI ●○○○: aI is not part of the work.
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AI in this role
Company:
Oliver WymanDescription:
Oliver Wyman's Data and Analytics team is looking to hire a Senior Business Analyst for our Hyderabad office.
OW DNA Overview
The Oliver Wyman DNA is a distinguished centre of excellence for business analytics and data analytics within Oliver Wyman. This group leverages data and information to provide business insights to Oliver Wyman consulting teams driving positive outcomes and tangible impact for Oliver Wyman’s clients. The group combines cutting edge data science expertise with core consulting expertise to augment engagement teams with analytical firepower to deliver outstanding results.
Role Summary:
The Senior Business Analyst will independently manage analytical workstreams, working closely with business stakeholders to translate requirements into structured analyses and actionable insights. This role requires strong business acumen, advanced SQL and Excel capabilities, and the ability to interpret financial statements. The Senior Analyst will lead medium to large analytical modules, guide junior analysts, and ensure clarity and quality across deliverables. They will play a key role in connecting data to commercial and operational performance, especially within manufacturing environments
Experience & Skills Requirements:
- 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
- Prior experience in manufacturing analytics is strongly preferred
- 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)
- Willingness to travel as required to meet client needs
Key Requirements:
- 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
How we rate this
Oliver Wyman - Senior Business Analyst (SQL & Excel) - Hyderabad at Marsh McLennan rates 30 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
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- $105k
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