Responsibilities

• Team Leadership & Mentorship
• Hire, lead, coach, and develop a high-performing team of product and marketing analysts.
• Foster a culture of curiosity, analytical rigor, and continuous learning.
• Define clear goals, priorities, and growth paths for the analytics team.
• Start by managing a team of 2–3 direct reports, with the opportunity to grow the team as the business scales
• Analytics Strategy & Execution
• Own the company’s marketing measurement, experimentation, and insight generation for paid, owned, and integrated channels, and for performance across acquisition, activation, engagement, retention, and LTV
• Lead the evolution of Media Mix Modeling (MMM) and causal inference frameworks to measure both performance and brand impact.
• Partner with the Growth team to optimize owned channels (SEO, Referrals) onboarding funnels, and lifecycle marketing to drive engagement.
• Build AI-driven workflows to automate recurring analytics (e.g., business reviews, anomaly detection, and insight generation), significantly reducing manual analysis and accelerating decision-making.
• Partner with Analytics Engineering to ensure scalable and reliable data models and pipelines.

Requirements

• 10+ years of experience in analytics, with at least 2 years in a people management role.
• Strong technical skills in SQL, Python, data visualization tools (Amplitude, Tableau) and experimentation.
• Has direct experience in marketing analytics using Media Mix Models (MMM), difference-in-differences and other causal inference techniques.
• Proven track record of leading high-performing marketing or product analytics teams.
• Excellent communication and storytelling skills.
• Ability to balance strategic thinking with hands-on execution.

Preferred

• Experience in fintech, consumer tech, or a data-driven product organization.
• Familiarity with modern data stacks (e.g., Databricks, Tableau, Amplitude).
• Experience influencing executive stakeholders and driving cross-functional initiatives.