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Oliver Wyman - Benchmarking Researcher - Gurugram

Marsh McLennan

Oliver Wyman - Benchmarking Researcher - Gurugram

full-timePosted: Aug 2, 2026Updated: Sep 1, 2026Gurugram - Horizon

Job Description

Company:Oliver WymanDescription:Oliver Wyman is looking to bring onboard an experienced professional as a Benchmarking Researcher to join our IMEA (India, Middle East, South Africa) Knowledge Services Team!This role will be based out of our Gurugram Office.Job Overview:We are seeking an experienced benchmarking professional to join the Oliver Wyman Knowledge Services Department within the Benchmarking Team. You will work closely with senior researchers to set up and establish the team and deliver structured benchmarking analysis to research and consulting teams across financial metrics and industrial/operational parameters for a defined portfolio of companies and sectors.Our clients include private equity funds, sovereign wealth funds, investment banks, corporates, and strategic investors seeking independent, analytically robust benchmarking to inform investment and operational decisions.The Knowledge Services Department supports consultants with planning and execution of on-demand research and benchmarking projects, including interpretation, evaluation, and preparation of results. In this role, the benchmarking expert will lead the design and execution of benchmarking studies spanning performance, process, competitive, strategic, financial, and internal dimensions. Working at the intersection of data science and strategy, this individual will convert raw comparisons into prioritised improvement roadmaps that clients can act on.Key Responsibilities:Benchmarking and AnalysisConsolidate existing research, scale them and develop products, using your skillset in benchmarking and research product developmentBuild and maintain reusable benchmarking models from a business perspective, covering metrices applicable to the respective sectors and drive actionable insightsUnderstand, analyse, and conduct benchmarking studies to determine performance levels and trends in various areas and identify gapsDefine and maintain appropriate peer cohorts based on sub-sector classification, scale, ownership structure, and geographic footprintCollect and validate primary data through executive interviews, surveys, and site visitsAggregate, normalize, and analyse data across proprietary sources; accounting policy differences; and currency effects to enable like-for-like peer comparisonsBuild performance gap analyses and translate findings into ranked, investment-grade recommendationsTrack reporting cycles and update databases on schedule; identify performance divergences and flag material shifts against industry normsOwn accuracy of the repository through regular validation cycles; manage task pipeline, set priorities, and collaborate with global colleagues to resolve competing demandsProduce PowerPoint outputs to translate benchmarking findings into client-ready visualsCoach and quality-assure the benchmarking work of junior analysts and associates.Experience and Skills Required:3–7 years’ post-qualification experience in corporate benchmarking with a demonstrated track record of independently executing benchmarking or data-intensive analytical assignmentsTechnical Skills: Statistical reasoning and normalisation, advanced modelling, financial statement analysis, primary research design (survey design on Qualtrics and Askia), MECE frameworks and issue trees, and executive-level slide storytellingSource Landscaping: Good knowledge of sources, such as APQC to identify relevant commercial dataCreative problem-solving skills and analytical curiosity with tenacious drive to solve complex benchmarking challenges; ability to think critically and develop the most efficient solutions to information requirementsExcellent communication and research synthesis skills that allow you to draw out key benchmarking insights and present findings clearly to consulting audiencesAbility to apply Generative AI tools to enhance efficiency and quality of benchmarking research deliverablesExcellent Excel skills and proficiency with Power BI, Tableau, R, and Alteryx would be a plus.Educational Background:Bachelor’s degree (mandatory): B. Com, B.Sc. (Economics / Statistics / Mathematics), BBA, or B. Tech / B.E. with strong quantitative aptitudePreferred: MBA (Finance), CFA Level I / II, or M.Sc. (Economics / Finance) from a recognized institutionDemonstrable track record of working and leading benchmarking projectsIndustry expertise in at least one of: financial services, consumer, industrials, healthcare, or technology.What we can offer you:A stimulating working environment that provides opportunities for professional growth, access to mentoring programs, and exposure to complex, high-impact benchmarking mandates across global sectorsAttractive compensation package and comprehensive benefitsWorking in a diverse and dynamic team environment spanning multiple geographies and industry verticalsFriendly and flexible workplace that promotes work-life balance, with hybrid working arrangements and team social initiativesAccess to a range of digital collaboration and analytics tools including Bloomberg, Capital IQ, and advanced MS Office capabilities to support high-quality deliverables.Various learning opportunities, internal training programmes, and knowledge-sharing sessions adapted for in-person and virtual settings.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. 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.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.

Locations

  • Gurugram - Horizon

Skills Required

  • sourcesintermediate
  • Power BIintermediate

Required Qualifications

  • 3–7 years’ post-qualification experience in corporate benchmarking with a demonstrated track record of independently executing benchmarking or data-intensive analytical assignments (experience, 7 years)
  • Technical Skills: Statistical reasoning and normalisation, advanced modelling, financial statement analysis, primary research design (survey design on Qualtrics and Askia), MECE frameworks and issue trees, and executive-level slide storytelling (experience)
  • Source Landscaping: Good knowledge of sources, such as APQC to identify relevant commercial data (experience)
  • Creative problem-solving skills and analytical curiosity with tenacious drive to solve complex benchmarking challenges; ability to think critically and develop the most efficient solutions to information requirements (experience)
  • Excellent communication and research synthesis skills that allow you to draw out key benchmarking insights and present findings clearly to consulting audiences (experience)
  • Ability to apply Generative AI tools to enhance efficiency and quality of benchmarking research deliverables (experience)
  • Excellent Excel skills and proficiency with Power BI, Tableau, R, and Alteryx would be a plus. (experience)
  • 3–7 years’ post-qualification experience in corporate benchmarking with a demonstrated track record of independently executing benchmarking or data-intensive analytical assignments (experience, 7 years)
  • Technical Skills: Statistical reasoning and normalisation, advanced modelling, financial statement analysis, primary research design (survey design on Qualtrics and Askia), MECE frameworks and issue trees, and executive-level slide storytelling (experience)
  • Source Landscaping: Good knowledge of sources, such as APQC to identify relevant commercial data (experience)
  • Creative problem-solving skills and analytical curiosity with tenacious drive to solve complex benchmarking challenges; ability to think critically and develop the most efficient solutions to information requirements (experience)
  • Excellent communication and research synthesis skills that allow you to draw out key benchmarking insights and present findings clearly to consulting audiences (experience)
  • Ability to apply Generative AI tools to enhance efficiency and quality of benchmarking research deliverables (experience)
  • Excellent Excel skills and proficiency with Power BI, Tableau, R, and Alteryx would be a plus. (experience)

Benefits

  • general: Working in a diverse and dynamic team environment spanning multiple geographies and industry verticals
  • general: Friendly and flexible workplace that promotes work-life balance, with hybrid working arrangements and team social initiatives
  • general: Access to a range of digital collaboration and analytics tools including Bloomberg, Capital IQ, and advanced MS Office capabilities to support high-quality deliverables.
  • general: Various learning opportunities, internal training programmes, and knowledge-sharing sessions adapted for in-person and virtual settings.

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