E

EXL

Analyzes business data and runs outsourced operations

Lead Analytics & AI

Business IntelligenceConfirmed live in the last 24 hours
Full-timeGurugram, Haryana, IndiaNo salary listedIn-person

About the Job

Requirements

  • A Bachelor's or Master's degree in Economics, Mathematics, Statistics, Computer Science, Engineering, or a related analytics field is required.
  • At least 10 years of experience in data analytics, business intelligence, or analytics consulting, including at least 3 years in a team-lead or client-facing delivery role, is required.
  • Hands-on proficiency in Power BI or Tableau and experience building production-grade dashboards and executive reporting are required.
  • Working knowledge of SQL and at least one analytics or scripting language, Python or SAS, for data manipulation, querying, and analysis is required.
  • Experience managing and mentoring offshore or dual-shore analytics teams, including workload planning, career development, and quality review, is required.
  • Experience owning client stakeholder relationships and presenting complex analytical findings to business and technical audiences is required.
  • Strong written and verbal communication, translating complex data into clear business narratives and actionable insights, is required.
  • An entrepreneurial approach, initiative, and ability to work in a fast-paced, client-driven, evolving environment are required.
  • Ability to work collaboratively across cross-cultural global teams spanning multiple time zones is required.

Responsibilities

  • Lead end-to-end delivery of data, analytics, and business intelligence projects for insurance clients, ensuring timely, quality outcomes across commercial and specialty lines engagements.
  • Partner with client stakeholders and company leadership to understand business requirements, define project scope, and translate analytical insights into actionable recommendations for the insurance business.
  • Develop and maintain client relationships, serving as the primary day-to-day 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 business intelligence dashboards and reporting solutions using Power BI or Tableau to support underwriting, claims, pricing, and portfolio performance metrics for insurance clients.
  • Contribute to RFP/RFI responses, capability presentations, and opportunity identification within insurance and financial services.
  • Identify and articulate opportunities to expand analytics across client insurance portfolios, including underwriting performance, loss reserving, claims analytics, and commercial and specialty lines profitability.
  • Facilitate client working sessions and lead recurring project status meetings, communicating progress, risks, and issue resolution to business and technical stakeholders.
  • Manage day-to-day project operations across dual-shore delivery models, monitor deliverables, and proactively resolve blockers.
  • Ensure industry best practices in data governance, analytics methodology, and business intelligence standards are followed across project workstreams.

Desired Qualifications

  • Insurance domain experience in commercial lines, specialty lines, or broader banking, financial services, and insurance (BFSI), including understanding of underwriting, claims, pricing, or loss reserving.
  • Experience supporting business development, including contributions to RFP/RFI responses, capability decks, and client solutioning workshops.
  • Experience in financial services or insurance analytics involving commercial and specialty lines products, pricing models, or portfolio profitability analytics.
  • Understanding of data modeling, ETL/ELT processes, and cloud-based data platforms.

About the Company

EXL

Analyzes business data and runs outsourced operations

EXL analyzes business data and runs outsourced operations for insurers, healthcare payers, banks, retailers, and other large organizations. Its teams combine industry expertise with data engineering and AI to handle tasks such as claims processing, payment reviews, customer service, and finance within existing technology environments. The company also builds software, including LifePRO, which manages insurance policies, and EXLdata.ai, which connects fragmented data for use in AI systems. Clients pay for consulting projects, ongoing managed services, and software delivered through the cloud. EXL was founded in 1999 and is headquartered in New York City.

Company size
10,001+
Company stage
IPO
Headquarters
New York City, New York
Founded
1999

Recently Posted Jobs

Explore more opportunities at EXL

See more jobs