Analyst / Senior Analyst (Private Capital)

<p><b>Oliver Wyman's Data and Analytics team is hiring an Analyst or Senior Analyst specializing in Private Capital / Equity for our Hyderabad office.</b></p><p></p><div><p><b><span>OW<span> </span></span><span>DNA</span><span><span> </span>Overview</span></b><span> </span></p></div><div><p><span><span>The Oliver Wyman<span> </span></span><span>DNA</span><span><span> </span>is a</span><span><span> </span>distinguished<span> </span></span><span>center</span><span><span> </span>of excellence for business analytics and data<span> </span></span><span>analytics</span><span><span> </span>within Oliver Wyman. This group leverages data and information to<span> </span></span><span>provide</span><span><span> </span>business insights to Oliver Wyman consulting teams driving positive outcomes and tangible impact for Oliver Wyman’s clients. The group combines<span> </span></span><span>cutting edge</span><span><span> </span>data science<span> </span></span><span>expertise</span><span><span> </span>with core consulting<span> </span></span><span>expertise</span><span><span> </span>to augment engagement teams with analytical firepower to deliver outstanding results. </span></span><span> </span></p></div><div><p><span> </span></p></div><div><p><b><span>Role Summary:</span></b><span> </span></p></div><div><p><span><span>The Analyst will support private capital and private equity engagements by conducting rigorous data analysis, market research, and financial modeling. The role involves working closely with senior team members on due diligence, valuation, and value creation projects. The Analyst will apply structured analytical thinking,<span> </span></span><span>leverage</span><span><span> </span>advanced analytics tools, and contribute to high-quality reports and presentations that support<span> </span></span><span>client's</span><span><span> </span>investment decisions across the deal lifecycle</span></span><span> </span></p></div><div><p><span> </span></p></div><div><div><p><b><span><span>Key Responsibilities</span></span><span> </span></b></p></div><div><ul><li><p><span><span>Deploy structured analytics, statistical techniques, and research methodologies to support complex business and investment-related problem solving.</span></span><span> </span></p></li></ul></div><div><ul><li><p><span><span>Support due diligence and valuation engagements for private equity clients, including buy-side, sell-side, IPO, and post-transaction value realization work.</span></span><span> </span></p></li></ul></div><div><ul><li><p><span><span>Conduct detailed market, financial, and operational due diligence to support investment decisions and deal-value realization.</span></span><span> </span></p></li></ul></div><div><ul><li><p><span><span>Develop and<span> </span></span><span>maintain</span><span><span> </span>financial models, valuation analyses, and data-driven insights using advanced analytics and AI-enabled techniques where applicable.</span></span><span> </span></p></li></ul></div><div><ul><li><p><span><span>Prepare clear, concise, and well-structured reports and presentations for internal teams and client stakeholders.</span></span><span> </span></p></li></ul></div><div><ul><li><p><span><span>Collaborate with senior team members to<span> </span></span><span>identify</span><span><span> </span>risks, growth opportunities, and value creation levers for clients.</span></span><span> </span></p></li></ul></div><div><ul><li><p><span><span>Support business development activities by gathering market intelligence and contributing to proposal development.</span></span><span> </span></p></li></ul></div><div><ul><li><p><span><span>Maintain and enhance data management, analysis, and reporting tools using MS Excel, PowerPoint, and other relevant software.</span></span><span> </span></p></li></ul></div><div><ul><li><p><span><span>Ensure data accuracy, consistency, and proper documentation across analytical deliverables.</span></span><span> </span></p></li></ul><p></p></div><div><p><b><span><span>Education</span></span><span> </span></b></p></div><div><ul><li><p><span><span>Bachelor’s degree in Finance</span><span>, Economics, Mathematics, Science, Engineering, or a related discipline.</span></span><span> </span></p></li></ul></div><div><ul><li><p><span><span>CA / CFA qualification or candidates with strong analyst experience are strongly preferred.</span></span><span> </span></p></li></ul></div><div><ul><li><p><span><span>MS, certification, or coursework in analytics, finance, or data science is preferred.</span></span><span> </span></p></li></ul><p></p></div><div><p><b><span><span>Experience & Skills</span></span><span> </span></b></p></div><div><ul><li><p><span><span>2+ years of overall experience in data analytics, consulting, or related roles, with at least 1+ year of exposure to market research and/or due diligence engagements.</span></span><span> </span></p></li></ul></div><div><ul><li><p><span><span>Advanced<span> </span></span><span>proficiency</span><span><span> </span>in MS Excel and PowerPoint, with comfort building structured models and presentations.</span></span><span> </span></p></li></ul></div><div><ul><li><p><span><span>Python and SQL experience is a strong plus</span><span> </span></span><span> </span></p></li></ul></div><div><ul><li><p><span><span>Strong analytical and problem-solving skills, with<span> </span></span><span>demonstrated</span><span><span> </span>ability to translate data into actionable insights.</span></span><span> </span></p></li></ul></div><div><ul><li><p><span><span>Solid understanding of financial<span> </span></span><span>modeling</span><span><span> </span>concepts, valuation techniques, and analytical frameworks.</span></span><span> </span></p></li></ul></div><div><ul><li><p><span><span>Experience with customer and market research techniques, including interviews, surveys, focus groups, and secondary research.</span></span><span> </span></p></li></ul></div><div><ul><li><p><span><span>Exposure to business research across multiple sectors, preferably within a global consulting or professional services environment.</span></span><span> </span></p></li></ul></div><div><ul><li><p><span><span>Strong written and verbal communication skills, with the ability to present analysis clearly to internal and external stakeholders.</span></span><span> </span></p></li></ul></div><div><ul><li><p><span><span>Experience working with specialized financial and market data sources such as Capital IQ, Factiva, Bloomberg, or similar platforms.</span></span><span> </span></p></li></ul></div><div><ul><li><p><span><span>Familiarity with GenAI tools and modern analytical techniques is a plus.</span></span><span> </span></p></li></ul></div><div><ul><li><p><span><span>Quick learner with the ability to rapidly pick up new tools, platforms, and methodologies.</span></span><span> </span></p></li></ul></div><div><ul><li><p><span><span>High attention to detail, strong ownership mindset, and ability to work collaboratively in fast-paced environments.</span></span><span> </span></p></li></ul></div></div><p></p><p></p><p></p><br><p> Oliver Wyman is a business of Marsh (NYSE: MRSH), a global leader in risk, reinsurance and capital, people and investments, and management consulting, advising clients in 130 countries. With annual revenue of over $27 billion and more than 95,000 colleagues, Marsh helps build the confidence to thrive through the power of perspective. For more information, visit oliverwyman.com, or follow us on LinkedIn and X. <br><br>Marsh is committed to embracing a diverse, inclusive and flexible work environment. We aim to attract and retain the best people and embrace diversity of age, background, caste, disability, ethnic origin, family duties, gender orientation or expression, gender reassignment, marital status, nationality, parental status, personal or social status, political affiliation, race, religion and beliefs, sex/gender, sexual orientation or expression, skin color, or any other characteristic protected by applicable law.<br><br>Marsh is committed to hybrid work, which includes the flexibility of working remotely and the collaboration, connections and professional development benefits of working together in the office. All Marsh colleagues are expected to be in their local office or working onsite with clients at least three days per week. Office-based teams will identify at least one “anchor day” per week on which their full team will be together in person.<br><br></p>