Product Analytics Lead - Remote

Overview

The Product Analytics Lead plays a crucial role in shaping Manychat’s product development and strategy. You will lead a team of Product Analysts and be part of the Analytics leadership team, reporting to the Head of Analytics. You and your team will work closely with the AI and Advanced features product groups, and you will act as a strategic partner to the Product and Engineering leadership, collaborating closely to drive decisions and to align analytics priorities with business goals.

In Short

• Hire, nurture, and guide a team of Product Analysts while fostering a culture of collaboration and innovation.
• Scale and enhance the Product Analytics function, building a team, refining processes, running cross functional projects, and strengthening the analytical culture.
• Partner up with the Product and Engineering leadership to guide and drive data-informed decisions, both tactical and strategic.
• Shape the data and analytics roadmap, including investments in capabilities and infrastructure.
• Run ad-hoc analyses, build valuable dashboards, and surface insights.
• Help in developing and improving key capabilities in the Product Analytics domain, including A/B testing, causal inference, KPI development, and segmentation.
• Think beyond the day-to-day, taking a mid- to long-term view of the business, and translating it into concrete plans and actions.

Requirements

• 8+ years of relevant experience. Including 3+ years of hands-on experience in Product Analytics and 2+ years of people management.
• Ability to collaborate and drive initiatives across Analytics, Data, Product, Engineering, and UX.
• Excellent people management skills, including individual coaching and growth planning.
• Deep understanding of product metrics, their interdependencies, and principles of Product development.
• Expertise in SQL, working with large datasets. Hands-on experience with Python and/or R. Experience with Git is a plus.
• Experience employing statistical and causal inference techniques, including A/B testing, to drive real world impact.
• Solid understanding of Analytics technology, including event tracking and data collection, Data warehousing and transformations, and visualization and reporting.
• Excellent communication skills, both written and verbal, allow you to convey complex findings in a clear and concise manner.
• Experience working in SaaS and/or high growth companies is a plus.

Benefits

• Annual professional development reimbursement.
• Generous time-off policy to balance your work and life.
• Comprehensive medical, dental, and vision coverage for you and your dependents.
• Hybrid format to split your time between the comforts of home and collaborative WeWork spaces.