Level

Marsh McLennan

Senior Manager - Data Analytics & Insight

AI in this role

Company:

Marsh

Description:

We are seeking a talented individual to join our Commercial Center of Excellence team at Marsh. This role will be based in Gurgaon. This is a hybrid role that has a requirement of working at least three days a week in the office.


The role provides global operational support for Marsh, ensuring accurate account administration, data quality, issue resolution, and timely coordination across internal stakeholders


We will count on you to:

  • Provide first-line support to MPower users by triaging incoming requests, troubleshooting issues, and escalating defects or unresolved matters promptly to ensure users receive timely and effective assistance.
  • Maintain account, user, and reference data accurately and in line with governance requirements, applying agreed controls and ensuring data quality is protected across all support activities.
  • Support data validation, cleansing, reconciliation, and exception management processes to help safeguard the accuracy and integrity of reporting, operational outputs, and downstream business decisions.
  • Partner with sales operations, client engagement, finance, and technology teams to support the Business Dataload process, assist with testing and implementation of changes, and contribute to process improvement and user support materials.

What you need to have: 

  • Bachelor’s degree in Business, Data Analytics, or a related field; a Master’s degree in Business Administration, or a similar discipline is a plus.
  • 7-9 yrs experience in operational support, CRM administration, or data operations, with a practical understanding of how to manage user requests, data workflows, and issue resolution in a structured environment.
  • Strong Excel and reporting skills, with the ability to review, validate, and reconcile data accurately while maintaining a high level of attention to detail and control.
  • Excellent written and verbal communication skills, with confidence to interact professionally with users and stakeholders, manage expectations, and provide clear updates on case progress and resolution.
  • A strong control mindset, good problem-solving ability, and the capacity to prioritize multiple tasks effectively while working collaboratively across functions to meet service expectations.
  • Well versed with key research tools such as Capital IQ, Factiva, Thomson One, etc.


What makes you stand out?

  • Prior experience supporting MPower or a similar CRM/platform environment, particularly where you have handled data maintenance, user support, or operational issue resolution.
  • Familiarity with business dataloads, reconciliation processes, data stewardship, and governance controls, with an understanding of how these contribute to reporting accuracy and operational stability.
  • A proven ability to identify recurring issues, recommend practical process improvements, and help reduce rework, exceptions, and repeat incidents through better ways of working.
  • Experience working across sales, finance, client, and technology teams, combined with the ability to turn complex problems into clear actions, user guidance, and effective support outcomes.

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 work with talented colleagues to create new solutions and have impact for 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.

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.

How we rate this

Senior Manager - Data Analytics & Insight at Marsh McLennan rates 38 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

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