Product Analytics Lead at ManyChat
Amsterdam, , Netherlands -
Full Time


Start Date

Immediate

Expiry Date

24 Oct, 25

Salary

0.0

Posted On

25 Jul, 25

Experience

8 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Good communication skills

Industry

Information Technology/IT

Description

WHO WE ARE

Manychat is a leading Chat Marketing platform. We help businesses engage with their customers on Instagram, Facebook Messenger, WhatsApp, and Telegram.
Trusted by over 1 million brands in 170+ countries, we’re an official Meta Business Partner, backed by top investors, including Bessemer Venture Partners.
With 250+ teammates across international offices in Austin, Barcelona, Yerevan, São Paulo, and Amsterdam — Manychat helps businesses across the globe improve their ROI and grow faster.

Responsibilities

WHAT YOUʼLL DO

  • 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.

TO BE SUCCESSFUL IN THIS ROLE

  • 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.
Loading...