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    Job · 16738970

    Ethos Life logo

    Lead Business Analyst

    Ethos Life · Bengaluru · onsite · Posted 76d ago

    Not disclosed4–7 yrsfulltimeSourced fromInstahyre

    About a minute. You'll make an account on the way through.

    About this role

    Ethos is looking for a Lead Business Analyst to join our Sales Strategy and Operations team supporting B2C sales. This is a high-impact individual contributor role sitting at the intersection of sales analytics, process optimization, and systems ownership. In this role, you'll translate complex data into decisions that directly move revenue.


    The Sr. Revenue Operations Analyst will drive infrastructure that powers our sales teams: funnel reporting, performance dashboards, experiment analysis, and data quality standards. You're the kind of person who loves digging into data, spots broken metrics before anyone else notices, already has a hypothesis about why, and ships a fix before the next standup.


    The core responsibilities for the job include the following:


    Analytics and Insights:

    • Own end-to-end reporting across the marketing-to-sales funnel, including leading indicators (dial volume, connect rate), in-process metrics (CVR by segment, handle time), and lagging outcomes (issued AP, persistency).
    • Build and maintain dashboards in Mode, Hex, and Amplitude that give sales leadership a real-time pulse on performance.
    • Conduct deep-dive analyses on conversion rate trends, agent performance, campaign effectiveness, and channel mix; surface findings in a format executives can act on.
    • Design and evaluate A/B experiments across outreach cadences, agent workflows, and channel strategies; communicate results with statistical rigor and business context.
    • Partner with Sales and Finance on building models to help define initiatives such as compensation plans, headcount requirements, and other business-critical models.


    AI Native:

    • Fluent in leveraging AI tools (Claude Code, ChatGPT, Gemini) to accelerate analysis, automate repetitive workflows, and surface insights faster.
    • Default to AI-augmented workflows: uses large language models to draft, analyze, and iterate at speed, while maintaining the judgment to know when to verify, push back, or go deeper.
    • Actively integrates AI into day-to-day work, from writing SQL and building dashboards to synthesizing qualitative feedback.


    Requirements:

    • Bachelor's or master's degree from Tier-1 institutions (e. g., IITs, IIMs, ISB, or equivalent): must have.
    • 4 to 7 years in data analytics, revenue operations, or a closely related analytical role, ideally in a B2C or high-velocity phone sales environment.
    • Strong SQL skills; experience querying large datasets to answer open-ended business questions, not just pull pre-defined reports.
    • Hands-on experience with dashboarding and analytics tools (Salesforce, Mode, Amplitude, Hex, or similar).
    • Familiarity with sales tech stack tools like Regal, Balto, or comparable dialer/QA platforms is a plus.
    • Comfort operating in ambiguity: you scope your own work, ask the right clarifying questions, and don't wait for a fully defined spec to get started.
    • Strong English communication skills, both written and verbal.
    • High bar for data accuracy; you treat a wrong number in a dashboard as a fire, not a footnote.
    • Available to work onsite in our Bangalore office on night shift hours (3:00 PM - 12:00 AM IST) to align with US-based sales teams.


    Nice to Have:

    • Experience with insurance, fintech, or other licensed sales environments.
    • Exposure to compensation modeling, quota design, or headcount planning workflows.

    Sourced from instahyre

    Skills

    Business AnalysisPower BiTableauSQLdata analysisexcelBusiness Intelligence

    About Ethos Life

    Ethos Life logo

    Ethos Life

    Internet

    300

    employees

    2016

    10 years old

    Bangalore / Bengaluru, Karnataka

    India

    About

    This company revolutionizes term life insurance by leveraging technology and predictive analytics to streamline the application process, making insurance access more efficient.

    Industries

    InternetInsurance

    Employee ratings

    28 reviews

    3.6/ 5

    Culture

    3.5

    Career growth

    3.2

    Work-life

    3.6

    Employees rate it well for

    Work Life Balance7Job Security5

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