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Marsh McLennan

Senior Specialist - Data Analytics & Insight

Posted 2 Hours Ago
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Remote
Hiring Remotely in Hiranandani Gardens, Mumbai Suburban, Mahārāshtra, IND
Senior level
Remote
Hiring Remotely in Hiranandani Gardens, Mumbai Suburban, Mahārāshtra, IND
Senior level
Own claims data gathering, standardization, transformation, quality checks, and reporting for Casualty Risk Consulting. Build Power BI and Excel dashboards, automate recurring reporting and data preparation, extract data from multiple sources, and use AI tools to improve workflows. The role also supports practice development, stakeholder communication, requirements gathering, and issue resolution while delivering actionable insights to improve claims performance.
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Company:Marsh

Description:

We are seeking a dynamic and proactive Business Analyst to join the Casualty Risk Consulting team within the Knowledge Services function at Marsh. This position is based in Mumbai and offers a hybrid work arrangement, requiring a minimum of three days per week on site in the office.


The Casualty Risk Consulting team works collaboratively with clients, program managers, and carriers/TPAs to proactively identify opportunities for achieving optimal claims outcomes. We deliver comprehensive, integrated consulting services focused on driving cost savings through effective claim strategies. Utilizing proprietary technology and data, we equip organizations with tailored claims strategies to reduce claims exposure and enhance the efficiency of their claims programs.


We will count on you to:

  • Support Casualty Claims reporting by updating loss data, ensuring the accuracy and timeliness of reports, and enabling stakeholders to address business challenges effectively.
  • Take full ownership of gathering, standardizing, and transforming claims data to create insightful dashboards using Power BI and Excel.
  • Drive process efficiencies through automation by identifying automation opportunities and designing/implementing automated solutions.
  • Automate recurring reporting and data preparation tasks.
  • Work on practice development initiatives to expand team capabilities, enhance service offerings, and strengthen the overall consulting practice.
  • Support with data quality checks and issue resolutions.
  • Extract data from multiple sources such as external systems, databases, flat files, and APIs.
  • Leverage in-house AI tools and solutions to optimise day-to-day claims reporting and workflows.
  • Maintain regular and effective stakeholder communication to gather requirements and resolve queries in a timely manner.

What you need to have:

  • Bachelor’s degree in Engineering, Statistics, Mathematics, Computer Applications, Business Analytics, or similar discipline.
  • 4 - 6 years of professional experience in claims and analytics, with a strong ability to interpret data and generate actionable insights that drive business strategies and enhance claims performance.
  • Insurance domain experience across casualty coverages, with a deep understanding of claims data and the claim lifecycle.
  • Technical Skills: Excel, Power BI, Power Query and VBA with experience in data transformation, modelling and visualization. Proficient in Python for data extraction, transformation, automation, analytics, and reporting.
  • Experience using AI-powered solutions for data processing, information extraction, workflow automation, intelligent document analysis, and generating actionable insights, with the ability to integrate AI capabilities into existing business and data workflows.
  • Great communication, stakeholder management, and project management skills.
  • Strong analytical, strategic, and problem-solving skills with the ability to identify and resolve data discrepancies, ensure data integrity and accuracy, and present insights through clear visual storytelling that supports strategic decision-making and business objectives.

What makes you stand out?

  • Certification in AIC, AINS, ARM or equivalent in insurance domain.
  • Having Insurance or Casualty Claims domain knowledge.
  • Highly organized and able to manage multiple priorities and tight deadlines without compromising quality.
  • A passion for innovation and a willingness to explore and leverage in-house AI solutions that support greater business growth.
  • Combine analytical thinking, problem-solving, and collaboration to improve performance and support better business decisions.


Why join our team:

  • We help you be your best through professional development opportunities, interesting work and supportive leaders.
  • We foster a vibrant and inclusive culture where you can collaborate with talented colleagues to create novel solutions and have impact on colleagues, clients, and communities.
  • Our scale enables us to provide a range of career opportunities, as well as benefits and rewards to enhance your well-being.
    For U.S. colleagues only, click here to review additional responsibilities and our reasonable accommodations standards.

Marsh (NYSE: MRSH) is 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 marsh.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.

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