Product Analytics Lead
Amsterdam, Netherlands
Manychat
Automate two-way, interactive conversations in Instagram Direct Messages, Facebook Messenger, and SMS to grow your brandWHO 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.
WHO WE'RE LOOKING FOR 🌟
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.
The ideal candidate has significant experience working in Analytics or a similar area, and in managing and growing people. The candidate also has direct experience in employing Advanced Analytics and Data Science techniques to drive product decisions.
The candidate should be able to work independently with their team and partners, setting goals, managing resourcing and progress, and making decisions. They should also be comfortable navigating uncertainty and ambiguity.
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.
WHAT WE OFFER 🤗
Here’s how we care about your growth, well-being, and comfort:
- 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.
Manychat is an Equal Opportunity Employer. We’re committed to building a diverse and inclusive team. We do not discriminate against qualified employees or applicants because of race, color, religion, gender identity, sex, sexual preference, sexual identity, pregnancy, national origin, ancestry, citizenship, age, marital status, physical disability, mental disability, medical condition, military status, or any other characteristic protected by local law or ordinance.
This commitment is also reflected through our candidate experience. If you have individual needs that may require an accommodation during the interview process, please indicate this in your application. We will do our best to provide assistance throughout your interview process to ensure you’re set up for success.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: A/B testing Causal inference Data Warehousing Engineering Git Python R SQL Statistics Testing UX
Perks/benefits: Career development Health care
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