Manychat

Senior Product Analyst

Barcelona, SpainFull timeSeniorPosted about 1 month ago
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Important: We are NOT offering relocations for this position.  WHO WE ARE ๐ŸŒ 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 400+ teammates across international offices in Austin, Barcelona, Yerevan, Sรฃo Paulo, and Amsterdam โ€” Manychat helps businesses across the globe improve their ROI and grow faster. WHO WE'RE LOOKING FOR ๐ŸŒŸ We're looking for a sharp, curious, and impact-driven Product Analyst to help us build products our customers love. This is a Middle or Senior Product Analyst position. You'll join the Product Analytics team at Manychat, working closely with Product, Design, and Engineering to bring data into every decision we make.This role is perfect for someone who loves turning data into quick action: zooming in to uncover the signal in the noise, and zooming out to see the big picture. If you thrive at the intersection of product thinking and data, excited about working in a fast-scaling SaaS product, and want to have a positive impact on the daily lives of more than one million creators, influencers, and brands, we'd love to meet you. WHAT YOUสผLL DO ๐Ÿš€ Drive insights that matter: Translate complex data into compelling stories that guide product decisions and strategy. Shape success metrics and influence the roadmap: Partner with PMs to define KPIs, metric trees, and measurable goals that connect product impact to business outcomes. Surface insights that size opportunities, highlight trade-offs, and sharpen prioritization. Guide experimentation: Design, run, and evaluate A/B tests. Build trusted data: Collaborate with engineers and data teams to ensure reliable, scalable data models and tracking. Make data accessible: Create dashboards, enable self-service, and drive data literacy across product teams. TO BE SUCCESSFUL IN THIS ROLE ๐Ÿ’ฅ Experience: 4+ years in product analytics or similar area, ideally in SaaS or consumer-facing products. Technical skills: Strong SQL and Python for data analysis; proficiency with BI tools (e.g. Tableau) is expected. Metric trees & product mindset: Comfortable building and working with metric trees, and translating data into hypotheses, opportunities, and product decisions. Experimentation (a plus): Familiarity with A/B testing and experimental design is a bonus. Stats comfort: Solid grasp of statistics and how to separate signal from noise. Communication & confidence: Clear and compelling storytelling โ€“ you can influence PMs, engineers, and leaders alike. Comfortable challenging assumptions and pushing back on stakeholders when the data tells a different story. AI fluency: Comfortable using AI tools (e.g. Claude, ChatGPT, Copilot) to speed up analysis, generate hypotheses, write/debug SQL and Python, and streamline reporting. Way...

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