Remote Data Analyst (Remote, Graveyard)

Description:

• As a Data Analyst specializing in analyzing internal processes for a SaaS subscription service, you will analyze customer behavior, identify churn drivers, and develop strategies to optimize retention rates.
• You will work closely with cross-functional teams to leverage data for process optimization and operational excellence.
• Key responsibilities include analyzing subscription churn patterns and developing predictive models to forecast customer attrition rates.
• You will identify key factors influencing customer retention and engagement through comprehensive data analysis.
• Collaborating with product and marketing teams to implement targeted retention campaigns based on data insights is essential.
• You will monitor subscription KPIs such as MRR (Monthly Recurring Revenue), customer lifetime value (CLV), and churn rate.
• Conducting A/B testing and experimentation to optimize onboarding processes and reduce churn is part of the role.
• Utilizing data visualization tools to create actionable dashboards and reports for stakeholders is required.
• You will partner with customer success teams to implement proactive measures for customer satisfaction and loyalty.
• Analyzing sales processes and identifying areas for optimization and efficiency improvements with sales teams is necessary.
• You will analyze internal application workflows (e.g., customer support, billing) to streamline operations and enhance user experience.
• Continuously assessing data quality and integrity to ensure accuracy and reliability of analytics outputs is expected.

Requirements:

• A Bachelor's degree in Statistics, Mathematics, Computer Science, Economics, or a related field is required.
• You must have 3 years of experience in data analysis, preferably within a SaaS or subscription-based business environment.
• A strong understanding of subscription churn metrics, customer segmentation, and cohort analysis is necessary.
• Experience with data visualization tools such as Tableau, Looker, or Power BI is preferred.
• Familiarity with machine learning techniques for predictive modeling and customer behavior analysis is preferred.
• Excellent communication skills with the ability to translate complex data findings into actionable insights for non-technical stakeholders are essential.
• A proven track record of driving business impact through data-driven decision-making is required.
• Experience working with subscription management platforms (e.g., Zuora, Chargebee, Stripe) is preferred.
• Strong proficiency in Excel and Google Sheets, with a focus on utilizing formulas and effectively organizing and structuring data is necessary.
• Attention to detail and a commitment to data accuracy and integrity are required.
• Previous exposure to customer success or retention-focused roles is preferred.
• You must have access to a reliable high-speed internet connection.
• A computer with the latest model (preferably Core i3 or higher) and at least 8GB RAM is required.
• You must be available for scheduled and ad-hoc calls, meetings, and chats during regular weekday working hours.
• A quiet workspace that is free from noise and distractions is necessary.
• A noise-canceling headset that provides good audio quality for clear communication is required.

Benefits:

• You will have the opportunity to work from home, providing flexibility in your work environment.