Staff Analyst

About this job

Ethos Life is a prominent life insurance technology company working to protect families by making life insurance easy to access and empowering agents at scale through a robust technology platform. As a Staff Analyst for the Agent Partnerships business in Bangalore, you will operate as an elite individual contributor at the intersection of product mechanics, data science, and operational strategy. A normal day in this role involves partnering with business leaders to solve unstructured data puzzles, tracking and optimizing the agent-facing platform experience, building diagnostic data models to manage financial exposure, isolating critical growth levers, managing conversion funnels, and collaborating with data engineers to deploy clean tracking dashboards. You will also test generative AI tools to automate analytics processes, define usability metrics for new product features, and provide ongoing guidance to junior analytics resources.

Responsibilities

• Serve as an analytics thought partner for the Partnerships leadership team to drive decisions on agent acquisition, growth, and retention.
• Track, evaluate, and optimize the agent-facing platform experience by defining precision usability metrics.
• Build diagnostic data models to analyze, track, and mitigate backend financial exposure and operational risks.
• Isolate critical growth levers to define the onboarding milestone that boosts platform retention and revenue.
• Manage performance frameworks and monitor conversion steps for emerging annuities business lines using a D2C funnel approach.
• Collaborate with data engineers to maintain scalable business logic and deploy clean tracking dashboards.
• Build, test, and integrate generative AI tools to automate internal analytics processes and speed up delivery.
• Provide peer code reviews and tactical leadership training to distributed junior analytics resources.

Requirements

• 5 to 8 years of experience in product analytics, business intelligence, data science, or analytical individual contributor roles.
• Expert, non-negotiable knowledge of SQL.
• Proven history of leveraging modern Large Language Models within daily workflows to streamline writing and debug calculations.
• Experience using advanced visualization, dashboarding, and AI-enabled analytics environments like Hex, Tableau, Mode, or Excel.
• Exceptional ability to solve unstructured problems, analyze ambiguous data records, and build corporate narratives.
• Superior written and verbal communication skills for presenting summaries to the C-suite and Board of Directors.

Good to have

• Strong foundational knowledge of statistics and predictive data modeling.
• Familiarity with scripting languages such as Python or R.
• Advanced degree in a quantitative domain like Statistics, Economics, Computer Science, Engineering, or Applied Math.

Who should apply

This role best suits ambitious, highly analytical self-starters and big-picture thinkers who enjoy digging into data to tell strategic stories of enterprise growth. Ideal candidates bring extensive background in high-growth tech startups or established firms, possess top-tier AI fluency, and excel at navigating unstructured, ambiguous business challenges. If you have a quantitative background and a passion for product analytics and operational strategy at Ethos Life, you are encouraged to apply even if you do not meet every single requirement.

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