מציאת משרת הייטק בחברות הטובות ביותר מעולם לא הייתה קלה יותר
• Collect, clean, and analyze customer usage and renewal data from various platforms and tools.
• Maintain an accurate and auditable system of work.
• Develop and maintain scalable reports and dashboards using flat-file data and PowerBi that track customer health metrics, renewal rates, usage patterns, and product engagement.
• Identify trends, patterns, and insights that inform customer success strategies, renewal processes, and interventions.
• Provide data-driven insights to Customer Success Managers (CSMs) and collaborate on renewal strategies and customer engagement plans.
• Conduct regular reviews to ensure data-readiness and build trust with stakeholders and data-users.
• Define and track Key Performance Indicators (KPIs) for customer success and renewals, such as Renewal Rate, Churn, Discounting behaviors, etc.
• Analyze the effectiveness of customer success initiatives and renewal strategies on KPIs, providing recommendations for optimization in a good, better, best approach.
• Work closely with renewal sales, customer success, and other teams to ensure a coordinated approach to customer engagement and renewals.
• Synthesize feedback and coordinate with internal teams to incorporate it into development roadmaps and strategies.
• Communicate with broad range or stakeholders at various levels internally. Advocate for the data and building trust in the insights.
• Continuously evaluate and refine data collection, analysis processes, and renewals processes for improved efficiency, accuracy, and customer satisfaction.
• Document best practices, develop training materials, and provide enablement to ensure consistent application of processes.
• Prepare and present regular reports to stakeholders on customer success metrics, renewals status, and insights
• Evaluate and recommend tools and resources to enhance data analysis and customer engagement capabilities.
• Ensure effective utilization of business insights by the Customer Success and Renewals teams.
A minimum of 8+ years of applicable relevant experience is required, inclusive of several years of data analysis with proficiency in data analysis tools.
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