Marsh McLennan

Senior Manager - Data Analytics and Reporting

Marsh McLennan
Mumbai/Bombay
Not disclosed
Work from OfficeWork from Office
Full TimeFull Time
Min. 10 yearsMin. 10 years

Job Description

Senior Manager - Metrics, Analytics & Reporting

Company:

Marsh Risk

Description:

We are seeking a talented individual to join our Metrics, Analytics & Reporting team at Marsh Risk, a Marsh business. This role will be based in Mumbai. This is a hybrid role that has a requirement of working at least three days a week in the office.

Senior Manager – Metrics, Analytics & Reporting (Grade E, Data Analyst – Portfolio Solutions)

The Data Analyst will be responsible for analyzing insurance policy data sourced from MIDAS (Data lake & warehouse) and Excel databases to identify patterns, classify policies, and support the development of new portfolio solutions (Facilities). This role plays a key part in transforming data insights into actionable strategies that drive portfolio segmentation, targeting, and revenue growth.

We will count on you to:

  • Extract, clean, and analyze data from MIDAS and Excel databases to identify trends, anomalies, and opportunities within insurance portfolios.
  • Classify policies based on defined business rules and criteria to support portfolio segmentation and targeting strategies.
  • Collaborate with business stakeholders to translate data insights into actionable portfolio solutions and strategies.
  • Develop and maintain data models, dashboards, and reports to track portfolio performance and identify growth opportunities.
  • Support the identification of gaps and potential areas for new portfolio solutions based on data analysis.
  • Ensure data accuracy, consistency, and integrity throughout the analysis process.
  • Work closely with AI and data engineering teams to enhance data processing and integration workflows.
  • Communicate findings and recommendations effectively to both technical and non-technical audiences.

What you need to have:     

  • Graduate with 10 plus years of prior work experience in Insurance Broking domain
  • Proven experience in data analysis, preferably in insurance, risk management, or related industries.
  • Strong proficiency in data tools such as Excel, SQL, and data visualization platforms (e.g., Power BI, Tableau).
  • Ability to work with large datasets and perform complex data manipulations.
  • Analytical mindset with strong problem-solving skills.
  • Excellent communication skills to collaborate with cross-functional teams and present insights clearly.
  • Knowledge of insurance products, policies, and portfolio management is a plus
  • Should be comfortable with 12pm -9pm & 1pm – 10pm

What makes you stand out:

  • Experience with databricks
  • Familiarity with AI and machine learning concepts related to data processing.
  • Experience in developing portfolio solutions or product strategies based on data insights.

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 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.

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 $27 billion and more than 95,000 colleagues, Marsh helps build 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.

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 $27 billion and more than 95,000 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.

Experience Level

Senior Level

Job role

Work location
Work locationMumbai - Hiranandani, India
Department
DepartmentData Science & Analytics
Role / Category
Role / CategoryData Science & Machine Learning
Employment type
Employment typeFull Time
Shift
ShiftDay Shift

Job requirements

Experience
ExperienceMin. 10 years

About company

Name
NameMarsh McLennan
Job posted by Marsh McLennan

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