Lead Specialist - Data Analytics & Insight

Lead Specialist - Data Analytics & Insight

Company:

Marsh

Description:

We are seeking a talented individual to join our Data Analytics & Insight team at Marsh Risk. 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.

We will count on you to:

• Have a good understanding of UK insurance market (Whitespace digital e-trading platform would be a plus), leveraging deep knowledge of SQL, Python, and Databricks to extract, transform, and analyze data.

• Collaborate with the UK Aviation team to develop innovative business solutions and growth initiatives using data engineering and analytics capabilities.

• Build and maintain data pipelines and workflows in Databricks, optimizing performance and ensuring data quality.

• Develop and maintain SQL queries and Python scripts to manipulate large datasets and generate actionable insights.

• Design and deliver visually compelling dashboards and reports primarily using Power BI.

• Analyze data from legacy systems and present key statistics and KPIs to stakeholders to support decision-making.

• Work closely with cross-functional teams to align analytics outputs with business objectives and strategy.

What you need to have:

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

• 4-6 years of experience in business intelligence, data analytics, or reporting with strong hands-on expertise in SQL, Python, and Databricks.

• Strong data engineering skills including data extraction, transformation, and loading (ETL) processes.

• Ability to work with large datasets and complex data models.

• Strong data visualization skills with experience in Power BI.

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

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

• Advanced proficiency in SQL for data querying and manipulation.

• Strong programming skills in Python for data analysis and automation.

• Hands-on experience with Databricks on cloud platforms (Azure or AWS) focusing on data engineering and analytics.

• Knowledge of data pipeline optimization and cloud data services.

• Experience with Power BI for dashboard creation and data visualization; familiarity Power Apps is highly desirable.

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

• Collaborate effectively with stakeholders and team members to deliver high-quality analytics & engineering solutions.

What makes you stand out?

• Strong communication skills to convey complex data insights simply and effectively.

• Ability to understand and translate business requirements into technical solutions.

• Excellent stakeholder management and teamwork abilities.

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 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