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(3 Days Left) Engagement Manager
QuantiphiBengaluru, Karnataka, India30+ days ago
Job description7–12 years of experience in business analysis, analytics, or strategy roles within the insurance industry. Proven expertise in customer persistency, agent / distribution analytics, digital sales, and agent productivity measurement. Strong foundation in mathematics, statistics, probability, and modeling. Proficiency in SQL, Excel, and Python / R. Exposure to AI / ML concepts (predictive modeling, NLP, recommendation systems) or a strong interest in AI-driven innovation. Excellent stakeholder management and the ability to bridge business and technical teams effectively. Strong communication and storytelling skills to translate complex analytics into clear business impact. Experience working with insurance policyholder data, claims, and persistency models. Experience in ideating solutions and working out proof-of-concept / pilot projects. Familiarity with regulatory requirements and compliance considerations in insurance. Ability to thrive in a fast-paced, innovation-driven environment.
Job Title : Senior Business Analyst / Lead Business Analyst (Insurance Analytics)
Experience : 7–12 Years
Location : Bangalore / Hybrid, or Remote
About the Role :
We are seeking a highly experienced and innovative Business Analyst with a strong background in insurance analytics. This role focuses on leveraging data and AI to enhance customer experience, optimize agent performance, and refine distribution models. You will act as a subject matter expert, translating complex business challenges into analytical frameworks and partnering with data science and AI teams to deploy cutting-edge solutions. This position requires a blend of deep analytical skills, strong communication, and the ability to drive innovation within the insurance sector.
Key Responsibilities :
- Serve as Subject Matter Expert (SME) in insurance analytics, with a focus on customer experience, agent performance, and distribution models.
- Translate complex business challenges into analytical frameworks using statistics, forecasting, and advanced analytics.
- Partner with data scientists and AI teams to design and deploy AI-powered solutions in pricing, underwriting, distribution, and customer engagement.
- Conduct customer behavior analysis to recommend strategies for growth and retention.
- Develop actionable insights, predictive models, and incentive frameworks to optimize distribution performance.
- Drive innovation initiatives, identifying opportunities to apply AI and emerging technologies in insurance.
- Present insights through clear storytelling and executive-ready communication to influence decisions.
Must-Have Skills :
Nice-to-Have Skills :
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Engagement Manager • Bengaluru, Karnataka, India
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