Data Analytics - BI - Insurance

Job Description - Team Lead Data, Analytics & BI (Insurance)

10+ Years - Gurugram

Role & Responsibilities:

• Lead end-to-end delivery of data, analytics, and business intelligence projects for insurance clients, ensuring on-time, quality outcomes across commercial and specialty lines engagements.
• Partner with client stakeholders and leadership to understand business requirements, define project scope, and translate analytical insights into actionable recommendations for the insurance business.
• Develop and maintain trusted advisor relationships with client counterparts, serving as the primary day-to-day point of contact for project delivery, escalations, and strategic alignment.
• Provide technical direction to onshore and offshore team members across data engineering, reporting, visualization, and predictive modeling workstreams within the insurance value chain.
• Design and develop BI dashboards and reporting solutions using Power BI and/or Tableau to support underwriting, claims, pricing, and portfolio performance metrics for insurance clients.
• Support internal business development efforts by contributing to RFP/RFI responses, capability presentations, and opportunity identification within the insurance and financial services verticals.
• Identify and articulate opportunities for analytics expansion across the client's insurance portfolio, including underwriting performance, loss reserving, claims analytics, and commercial & specialty lines profitability.
• Facilitate client working sessions and lead recurring project status meetings, communicating progress, risks, and issue resolution to business and technical stakeholders at all levels.
• Manage day-to-day project operations across dual-shore delivery models, monitor progress of deliverables, and proactively resolve blockers to maintain delivery momentum.
• Ensure industry best practices in data governance, analytics methodology, and BI standards are followed across all project workstreams.

Candidate Profile:

• Bachelor's or Master's degree in Economics, Mathematics, Statistics, Computer Science, Engineering, or a related analytics field (Required).
• 10+ years of experience in data analytics, business intelligence, or analytics consulting, with at least 3 years in a team lead or client-facing delivery role (Required).
• Domain experience in insurance commercial lines, specialty lines, or broader BFSI — with demonstrated understanding of insurance business processes such as underwriting, claims, pricing, or loss reserving (Strongly preferred).
• Hands-on proficiency in BI and visualization tools, specifically Power BI or Tableau, with experience building production-grade dashboards and executive reporting (Required).
• Strong working knowledge of SQL and at least one analytics or scripting language (Python or SAS) for data manipulation, querying, and analysis (Required).
• Experience managing and mentoring offshore or dual-shore analytics teams, including workload planning, career development, and quality review (Required).
• Demonstrated ability to support business development activities, including contributions to RFP/RFI responses, capability decks, and client solutioning workshops (Preferred).
• Strong client management skills with experience owning stakeholder relationships and presenting complex analytical findings to both business and technical audiences (Required).
• Experience in financial services or insurance analytics with exposure to commercial & specialty lines products, pricing models, or portfolio profitability analytics (Strongly preferred).
• Solid understanding of data modeling, ETL/ELT processes, and cloud-based data platforms (Preferred).
• Strong written and verbal communication skills with the ability to translate complex data into clear business narratives and actionable insights (Required).
• Entrepreneurial mindset with the ability to thrive in a fast-paced, client-driven, continuously evolving environment and willingness to take initiative (Required).
• Ability to work collaboratively across cross-cultural, global teams spanning multiple time zones (Required).