Marketing Data and Analytics Lead

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Requirements:

• 5+ years of experience in marketing data and analytics, preferably in a fast-paced startup or technology environment
• Strong background in measuring a PLG motion as well as digital marketing channels
• Experience with advanced data analysis tools (e.g., Google Analytics, Looker, SQL, R, Python, etc.)
• Advanced proficiency in data visualization and reporting tools (e.g., Looker, Google Data Studio, Power BI)
• Strong analytical and problem-solving skills with the ability to turn complex data into clear, actionable insights
• Deep understanding of customer segmentation, behavior tracking, and predictive analytics
• Excellent communication and presentation skills, with the ability to convey complex data insights to non-technical stakeholders

Responsibilities:

• Lead the development of the marketing analytics strategy and execution across all digital channels
• Oversee the integration of marketing data from various sources (e.g., CRM, web analytics, paid media, email campaigns, social media, etc.)
• Ensure data quality, accuracy, and integrity across all marketing systems
• Establish KPIs and develop dashboards to measure and track the success of marketing campaigns and initiatives
• Perform deep-dive analyses into campaign performance, identifying trends, insights, and areas for optimization
• Use data-driven insights to continuously enhance marketing strategies, including customer acquisition, retention, and overall engagement
• Build complex models and conduct multivariate testing to optimize marketing efforts (e.g., A/B testing, predictive modeling)
• Provide regular reporting to the CMO and executive team on the health and performance of marketing efforts
• Conduct cohort analysis, customer segmentation, and lifetime value (LTV) analysis to guide decision-making
• Partner with marketing, product, and sales teams to align on business objectives, understand data needs, and deliver impactful insights
• Serve as the go-to expert on marketing analytics for senior leadership, translating data insights into actionable business recommendations
• Constantly assess the effectiveness of marketing strategies, implementing iterative improvements based on real-time data and results
• Recommend innovative solutions for marketing automation and efficiency improvements