Data Analyst

About Plum

Plum is an employee insurance and health benefits platform focused on making health insurance simple, accessible and inclusive for modern organizations. Healthcare in India is seeing a phenomenal shift with inflation in healthcare costs 3x that of general inflation. A majority of Indians are unable to afford health insurance on their own; and so as many as 600mn Indians will likely have to depend on employer-sponsored insurance.

Plum is on a mission to provide the highest quality insurance and healthcare to 10 million lives by FY2030, through companies that care. As we continue our exciting journey of transformation, we're expanding our product lines across Insurance, Healthcare and B2B2C. Plum is backed by Tiger Global and Peak XV Partners.

About the Role

The Data Analyst acts as the organization's metrics guardian, powering data-driven decisions across all functions. You'll deliver timely insights via automated reporting, anomaly detection, and cross-functional stakeholder collaboration to uphold SLAs, optimize user experience, and accelerate business growth.

Key Responsibilities

• Cross-Functional Reporting: Publish core KPIs (churn rate, loss ratio, CSAT, NPS, FCR, retention cohorts) across Customer Success, Product, Operations, and Growth teams on daily/weekly cadences, ensuring alignment with business leaders.
• Review Ownership: Build and present OKR dashboards for company-wide weekly, monthly, and quarterly business reviews using Metabase/Tableau, facilitating cross-team discussions.
• Proactive Cross-Functional Monitoring: Analyze trends to spot deviations (churn spikes, loss ratio thresholds); liaise immediately with respective stakeholders across functions, trigger alarms, diagnose root causes, and co-create structural solutions to prevent recurrence.
• Strategic Influence: Translate complex data into actionable recommendations via cross-functional workshops, influencing strategy through clear visualizations, mathematical models, and collaborative storytelling.

Required Skills & Qualifications

• Cross-Functional Excellence: Proven ability to partner with diverse teams (technical + business), translate requirements into metrics, and drive alignment through data. Comfortable navigating matrixed organizations and influencing without authority.
• Math Mastery: Exceptional numerical aptitude for repetitive calculations, statistical modeling (cohort analysis, logistic regression), and transparent data representations.
• Technical Proficiency: SQL (CRM data: Zendesk, Salesforce), BI tools (Metabase, Tableau, Power BI), Google Sheets/Excel; bonus Python/ETL and someone with automation experience/expertise.
• Domain Expertise: Insurance/fintech metrics mastery (loss ratio, churn segmentation, customer success KPIs).
• Experience: 1-3 years analytics in SaaS/internet companies; thrives in ambiguity, communicates insights across technical levels.

Preferred Background

B.Tech graduates with demonstrated cross-functional impact in customer-obsessed environments. Curiosity-driven collaborators who build data bridges between silos.