Company:

Marsh

Description:

Job Title: Senior Engineer- Data Analytics and Insights
Location: Mumbai
Team: Data Science – India Knowledge Services

About Marsh and Marsh McLennan:
Marsh is a global leader in insurance broking and risk management, dedicated to helping clients navigate an increasingly complex and dynamic risk landscape. As a part of Marsh McLennan, a global professional services firm with over 85,000 colleagues worldwide, we leverage deep industry expertise and innovative technology to deliver solutions that protect and create value for our clients. Marsh McLennan’s family of companies includes Marsh, Mercer, Guy Carpenter, and Oliver Wyman, collectively driving excellence in risk, strategy, and people.

About the Role:
We are seeking a detail-oriented and proactive candidate to join our Data Science team supporting the global business. This role involves data mining, cleaning, and preparation of datasets for ingestion into the SaaS platform. The ideal candidate will primarily work with Excel-based data and have the flexibility to use Python for advanced data cleaning tasks. Familiarity with Power BI is a plus to support data visualization and reporting. Additionally, the role includes responsibility for creating and maintaining technical documentation, specifically the user manual for the SaaS platform.

Key Responsibilities:

• Extract, mine, and clean data from various sources, primarily Excel spreadsheets, ensuring accuracy and consistency.
• Prepare and transform data for seamless ingestion into the SaaS platform.
• Utilize Python scripting to automate and enhance data cleaning and preparation processes where applicable.
• Collaborate closely with the Offshore team and Data Science team to understand data requirements and deliver actionable insights.
• Support data visualization and reporting efforts using Power BI to help stakeholders make informed decisions.
• Identify data quality issues and work proactively to resolve them.
• Develop, update, and maintain technical documentation, including the user manual for the SaaS platform, ensuring clarity and usability for end users.
• Maintain data integrity and document data processes throughout the workflow.

Required Skills and Qualifications:

• Proven experience in data mining, cleaning, and preparation, preferably in a financial or risk management context.
• Strong proficiency in Microsoft Excel, including advanced functions and data manipulation techniques.
• Working knowledge of Python for data cleaning and automation tasks.
• Familiarity with Power BI or similar data visualization tools is highly desirable.
• Experience in technical writing or documentation, with the ability to create clear and concise user manuals or guides.
• Excellent analytical skills with a keen eye for detail.
• Ability to work collaboratively within a team and communicate effectively with stakeholders.
• Strong organizational skills and the ability to manage multiple tasks simultaneously.

What We Offer:

• Opportunity to work with a dynamic Data Science team focused on innovative risk management solutions.
• Exposure to cutting-edge SaaS technology in the risk and asset valuation space.
• Supportive work environment with opportunities for professional growth and development.
• The chance to be part of Marsh McLennan, a global leader committed to integrity, innovation, and impact.

Marsh Risk 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 $24 billion and more than 90,000 colleagues, Marsh helps build the confidence to thrive through the power of perspective. For more information about Marsh Risk, 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.