Oliver Wymans Data and Analytics team is looking to hire a Lead Business Analyst for our Hyderabad or Gurugram office.
OW DNA Overview
The Oliver Wyman DNA is a distinguished center 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 Wymans 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 Lead Business Analyst will own and manage end-to-end analytical delivery across multiple workstream in a project working closely with global clients and internal stakeholders. This role requires deep business understanding exceptional analytical thinking and expert proficiency in SQL and Excel. The Lead Analyst will interpret financial statements solve complex commercial and operational problems and guide a team of Analysts and Senior Analysts through structured execution. They will also ensure high-quality delivery strong governance and clear communication to senior stakeholders. This is a highly client-facing and leadership-oriented role suited for someone with an entrepreneurial mindset and the ability to work independently
Key Responsibilities
Team & Delivery Leadership
Lead and oversee multiple analytical workstreams in a project ensuring clear planning timely execution and high-quality outputs
Guide Analysts and Senior Analysts through requirement breakdown task planning execution reviews and capability development
Allocate and prioritize tasks effectively to ensure seamless delivery across competing timelines
Review SQL pipelines Excel models and analytical frameworks to ensure accuracy consistency and adherence to best practices
Maintain structured governance documentation and information flow across all deliverables
Business & Financial Problem Solving
Interpret full financial statements to uncover insights across revenue cost margin and cash flow performance
Identify cost leakages working capital inefficiencies or commercial optimization opportunities using data-driven analysis
Estimate effort for workstreams define analytical approaches and link outputs to measurable business value
Build analytical frameworks templates and reusable assets to drive long-term efficiency and consistency
Translate ambiguous business questions into clear structured analytical pathways and problem statements
Client & Stakeholder Management
Serve as the primary point of contact for global or senior-level clients or internal stakeholders ensuring clarity of expectations and solution alignment
Facilitate discussions with diverse stakeholders to gather requirements refine problem statements and align on business outcomes
Communicate insights in a clear actionable and business-oriented manner that supports leadership-level decision-making
Build strong relationships through transparent communication consistent updates and proactive problem resolution
Technical & Process Excellence
Ensure all SQL queries Excel models and data transformations follow best practices for scalability performance and accuracy
Identify analytical risks dependencies data gaps and potential bottlenecksdesigning appropriate mitigation strategies.
Drive continuous improvements in analytical processes reporting standards and efficiency across all projects
Support the creation of knowledge assets documentation and standardized KPI frameworks for use across teams
Experience & Skills Requirements:
Strong leadership capabilities with the ability to guide a team through structured problem-solving and high-quality project execution
Deep business understanding and the ability to translate data into meaningful insights tied to financial commercial and operational performance.
Advanced ability to read interpret and analyze full financial statements (P&L Balance Sheet Cash Flow) including revenue drivers cost structure margins working capital and cash cycles
Excellent communication and stakeholder management skills with the ability to engage directly with senior and global clients
6 years of hands-on SQL and Excel experience (non-negotiable) including advanced query optimization data modelling logic and complex calculations
Strong domain experience in commercial analytics pricing supply chain or operations analyticspreferably within the manufacturing sector.
Ability to lead teams allocate tasks manage workloads and ensure timely and flawless delivery
Entrepreneurial mindset with a proactive approach to identifying improvement opportunities risks and new solution pathways
High ownership discipline and the ability to work independently while driving continuous improvement across analytical processes
Required Experience:
IC
Veritas provides commodity trading and risk advisory to optimize trading strategies and operations by harnessing CTRM systems, advanced analytics, and AI.