Overview
Skills
Job Details
Role Summary:
We are seeking a highly skilled and motivated Data Analyst with expertise in subscription-based business models, customer retention, and engagement analysis. The ideal candidate will have a deep understanding of product feature usage and the ability to provide insights that drive business outcomes. A strong emphasis will be placed on domain knowledge and the ability to apply data-driven strategies within the context of the business.
Key Responsibilities:
Subscription-Based Analytics:
- Analyze subscription trends, including new acquisitions, churn rate, and renewal patterns.
- Develop predictive models to forecast subscriber behavior and identify opportunities for retention improvement.
- Monitor customer lifetime value (LTV) and subscription health metrics to support strategic decision-making.
Customer Retention & Engagement:
- Design and execute strategies to track engagement across customer touchpoints and platforms.
- Identify drivers of customer satisfaction and loyalty, and provide actionable recommendations to reduce churn.
- Conduct segmentation analysis to personalize retention strategies for different customer cohorts.
Product Feature Usage Analytics:
- Evaluate product feature adoption and usage patterns to identify high-value features and areas for improvement.
- Collaborate with product teams to assess the impact of feature updates on user engagement.
- Deliver insights that inform feature prioritization based on business objectives and user needs.
Business Domain Expertise:
- Apply deep business domain knowledge to contextualize data findings and drive impactful results.
- Serve as the subject matter expert, bridging the gap between technical data insights and strategic business goals.
- Collaborate with stakeholders to align analytics initiatives with subscription business objectives.
Performance Metrics & Reporting: Develop and maintain dashboards, reports, and performance metrics that communicate findings clearly and support data-driven decisions.
Qualifications:
- Bachelor s degree in Data Science, Business Analytics, Marketing, or related field (Master s degree preferred).
- Proven experience working with subscription-based business models and analyzing customer retention and engagement data.
- Proficiency in SQL, Python, R, or other data analysis tools and programming languages.
- Strong knowledge of data visualization tools such as Tableau, Power BI, or similar.
- Familiarity with marketing tools and platforms such as Google Analytics, Salesforce, or CRM systems.
- Exceptional problem-solving skills, with the ability to interpret complex datasets and communicate findings.
- Strong business acumen and domain expertise in subscription-based businesses and customer lifecycle management.
Preferred Skills:
- Experience cohort analysis, or advanced statistical modeling.
- Expertise in customer journey mapping, subscription retention strategies, and churn reduction techniques.
- Familiarity with predictive analytics and machine learning approaches for subscription forecasting.
- Ability to work in a fast-paced, collaborative environment with a growth mindset.