Company:

Marsh

Description:

We are seeking a talented individual to join our Data Analytics & Insights team at Marsh | a Marsh Business. This role will be based at Mumbai location. This is a hybrid role that has a requirement of working at least three days a week in the office.

Lead Specialist - Data Analytics & Insights

We will count on you to:

• Supporting Whitespace which is a fully digital e-trading platform used by Marsh, owned by Verisk, designed for the insurance and reinsurance market to facilitate the digital offering, negotiation, placement, and binding of contracts through a data-first approach that enhances operational efficiency, transparency, and scalability.

• Working collaboratively with the Digital team to support and drive innovative business solutions and growth initiatives.

• Develop and maintain front-end applications using Power Apps, ensuring a seamless user experience.

• Understand our business model to analyze data and provide actionable insights.

• Collaborate with colleagues across various levels to align analyses with business objectives.

• Assemble and process large datasets, identifying and implementing internal process improvements.

• Gather and model data using Python to support strategic decision-making.

• Create visually appealing dashboards using Power BI to effectively communicate insights.

What you need to have: 

• Bachelor’s/Master’s degree in Computer Science/Statistics/Mathematics/Economics/ Engineering discipline

• 4 - 6 years of experience in BI and reporting – should have worked on Enterprise-wide reporting systems and built dashboards and reports from the ground up

• Hands-on experience through internships or projects in app development using Power Apps.

• Familiarity with data analysis and working with large datasets.

• Proficiency in SQL and Python for data extraction and manipulation.

• Strong data visualization skills with experience in tools like Power BI, Tableau, or Qlik Sense.

• Excellent problem-solving, critical-thinking, and communication skills.

• Strong attention to detail and the ability to work with complex data sets.

Technical Skills:

• Data Engineering and Data transformation skills – SQL or Oracle

• Data Visualization – Power BI is a must have, tableau or Qlik would be a good to have

• Strong exposure to and hands-on experience with Databricks on Azure and AWS cloud platforms, emphasizing data engineering and analytics capabilities.

• Ability to optimize data pipelines to perform complex data transformations

People and Team:

• Institutionalize the business and domain knowledge gained through Knowledge management principles and techniques

• Build technical capability for self and the team starting with AWS data bricks and other cloud technology that will be required to deliver solutions

Soft Skills:

• Understanding requirements, excellent communication skills and stakeholder management are crucial skills.

• Ability to communicate complex data in a simple and actionable way.

What makes you stand out?

• Built reporting systems using cloud platforms like AWS or Azure

• Familiarity with insurance terminology and digital trading platforms like Whitespace

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 $24 billion and more than 90,000 colleagues, Marsh helps build the confidence to thrive through the power of perspective. For more information, visit corporate.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 regardless of their sex/gender, marital or parental status, ethnic origin, nationality, age, background, disability, sexual orientation, caste, gender identity 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 McLennan 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 (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.