Head of Data Science and Analytics

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Requirements:

• 8+ years of experience in data science, analytics, and business intelligence with at least 3+ years leading high-performing data teams.
• Experience in a high-growth consumer technology startup environment required, ideally in crypto or fintech
• Proven ability to connect data insights to business strategy, driving measurable impact on growth, retention, and revenue.
• Deep understanding of data science methodologies, analytics frameworks, and modern data infrastructure. Familiarity with SQL, Python, and data visualization tools is a plus.
• Experience working closely with product, engineering, marketing, and leadership teams to align data initiatives with company goals.
• Ability to build scalable data processes, improve execution, and ensure high-quality insights are delivered efficiently.
• Experience in hiring, mentoring, and developing data teams. Track record of fostering a culture of learning, feedback, and continuous improvement.
• Ability to navigate ambiguity, synthesize complex data, and create clear, actionable strategies that drive business results.
• Hands-on approach with the ability to contribute as an individual contributor when needed

Responsibilities:

• Drive Strategic Impact: Identify high-value opportunities where data can drive growth, revenue, and retention. Ensure insights shape company and product strategy, leading to measurable improvements in key metrics.
• Develop Operational Excellence: Build scalable systems and processes for data workflows, ensuring the timely and high-quality delivery of insights. Establish best practices that improve efficiency and execution.
• Lead Cross-Functional Collaboration: Partner with product, engineering, and marketing teams to embed data into decision-making and align initiatives with business priorities. Foster a culture where data is a core part of strategic discussions.
• Build and Grow a High-Performing Team: Recruit, mentor, and retain top data talent. Establish a strong team culture focused on learning, feedback, and continuous improvement. Ensure the team is engaged, effective, and seen as a key driver of business success.
• Establish a Scalable Data Culture: Ensure data is deeply integrated into company operations. Create processes that enable teams across the organization to leverage insights effectively and make data-driven decisions at every level.