3 days ago
• The Marketing Analyst for the Engagement & Retention team plays a key role in driving insights and optimizing strategies to maximize customer retention, engagement, and conversion rates. • This role involves analyzing customer behavior, tracking lifecycle campaign performance, and supporting the team in improving top funnel completion rates and returning applications. • Your expertise in data analysis and visualization will directly influence data-driven decision-making and improve marketing effectiveness. • Analyze the performance of lifecycle and retention campaigns, providing actionable insights to enhance customer engagement and retention strategies. • Track key KPIs, such as returning applications, lifecycle engagement rates, and top funnel completion rates, and recommend strategies to improve performance. • Use SQL, Python, Tableau and Excel to query and manipulate data, exploring customer behavior across different segments to uncover patterns and opportunities. • Collaborate with the analytics team to maintain and improve data pipelines supporting lifecycle and retention campaigns, leveraging dbt, SQL and Python. • Design, analyze, and interpret A/B tests to evaluate the impact of campaigns and new initiatives, ensuring data-driven decision-making. • Create clear, compelling visualizations in Tableau to present campaign performance and insights to stakeholders. • Develop and maintain dashboards that monitor the effectiveness of engagement and retention efforts in real-time. • Work closely with the Engagement & Retention team to align insights with strategic objectives, ensuring data informs decisions on lifecycle journeys and customer communications. • Support cross-functional initiatives by sharing insights with product, marketing, and data teams to improve customer experiences. • Contribute to the development of analytical best practices for lifecycle marketing, improving how data is leveraged for engagement.
• Minimum 3 years of experience in marketing analytics, with a proven track record of delivering actionable insights for retention and engagement strategies. • Proficiency in Tableau for data visualization and reporting. • Strong SQL skills for querying and manipulating large datasets. • Knowledge of Python and dbt is a plus but not mandatory. • Strong analytical skills to explore customer data, extract meaningful insights, and identify opportunities for improvement. • Excellent communication and project management skills, with the ability to collaborate effectively across teams and present insights to stakeholders.
• 5 weeks of vacation • private healthcare compensation • hobby grant • mental healthcare support • share options • and much more!
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