Senior Manager - Data Analytics & Insight

We are seeking a talented individual to join our Data Analytics and Insight team at Knowledge Services - Marsh Risk. 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.

We will count on you to:

- Gather, analyze, and model data using analytical tools and techniques to develop business insights to drive decisions.

- Develop dynamic dashboards that provide insights and visualization into performance relative to KPIs, projections, and historical performance.

- Identify opportunities which add value to the business and make the process more efficient.

- Use technical skills to gather and work with large volumes of data using the most suitable technology.

- Have the ability to work with colleagues and stakeholders across levels, understand business objectives and make sure all analysis and findings are aligned to those business objectives.

- Institutionalize data quality check mechanisms in the data gathering and analysis phases.

- Develop scalable solutions for automations of reports.

- Use text analysis to iterate through the policy documents and classify their favorability, sentiment, themes, etc.

- Crete automated data pipelines from multiple sources and generate insights through descriptive analysis that can will help in understanding retention, claim, churn, new opportunity, etc.

- Analyze competitors and peers in depth to create benchmark reports and trend analysis.

- Support strategic decision making by providing actionable recommendations based on data analysis and adding value to the business by providing recommendations.

- Ability to lead initiatives and deliver results by engaging with cross-functional teams and resolving data ambiguity issues.

- Be responsible for the professional development of your reports and institute a succession plan.

What you need to have:

- Bachelor's degree in Engineering, Analytics, or a related field, MBA or a Master's degree in Statistics, Computer Applications, IT, Business Analytics, or any discipline.