Sprinto - Customer Success Analyst Intern
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Requirements
• Ownership of Portfolio Intelligence: • Monitor customer engagement and product usage signals to identify early risk indicators and prioritise accounts using structured frameworks • Revenue Retention & Renewal Support: • Support renewal readiness initiatives by identifying churn patterns and assisting in strategies that improve Gross Revenue Retention (GRR) • Engagement & Revival Initiatives: • Design and execute structured engagement experiments to improve account activity and customer outcomes • Portfolio Reviews & Strategic Insights: • Prepare portfolio summaries and present prioritisation logic, risk segmentation, and action plans • Systems & Process Contribution: • Assist in building dashboards, lifecycle triggers, and scalable mechanisms that improve customer success operations • Strong analytical thinking and structured problem-solving ability • Comfort working with data and identifying patterns • Clear written and verbal communication skills • Bias for action and ownership mindset • Comfort working in a fast-paced, remote environment • Preferred (not mandatory): • Exposure to SQL, dashboards, or analytics tools • Curiosity about SaaS metrics such as retention, churn, and NDR • Interest in cybersecurity, compliance, or B2B SaaS environments
Responsibilities
• Ownership of Portfolio Intelligence: • Monitor customer engagement and product usage signals to identify early risk indicators and prioritise accounts using structured frameworks • Revenue Retention & Renewal Support: • Support renewal readiness initiatives by identifying churn patterns and assisting in strategies that improve Gross Revenue Retention (GRR) • Engagement & Revival Initiatives: • Design and execute structured engagement experiments to improve account activity and customer outcomes • Portfolio Reviews & Strategic Insights: • Prepare portfolio summaries and present prioritisation logic, risk segmentation, and action plans • Systems & Process Contribution: • Assist in building dashboards, lifecycle triggers, and scalable mechanisms that improve customer success operations
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