As the leader of the analytics engineering team, you’re going to:

📍Build and lead the team: Hire, mentor, and grow a team of analytics engineers who will work closely with product and data science teams. 📍Develop deep product expertise: Ensure your team deeply understands product data, building targeted data marts and tools that solve real business problems. 📍Leverage AI and LLMs: Investigate how LLMs and AI can change analytics and build data foundations that support these future needs. 📍Focus on creating data marts optimized for LLMs and AI-driven analytics. 📍Unlock the value of our data: Partner with stakeholders to maximize the commercial impact of data by building scalable models, optimizing pipelines, and integrating cross-product data for better decision-making. 📍Directly deliver business impact: Oversee the creation of dashboards, ad-hoc analytics, and self-service tools that empower product teams to make data-driven decisions. 📍Prioritize outcomes over tools: Leverage the right frameworks and technologies to drive value, whether by developing abstractions, creating internal data apps, or improving scalable workflows. 📍Bridge the gap between business and data: Liaise between product data science, product managers, and central data engineering. Ensure your team uses central data tools and infrastructure while remaining agile and product-focused.

What We Look For in You

📍We’re looking for a hands-on leader to build and manage the Analytics Engineering team, bridging data engineering and product data science. Your team will create domain-specific data marts, tools, and analytics solutions that drive our products and business. You’ll build tailored data solutions while staying aligned with data engineering best practices. This is a chance to shape the future of analytics as we integrate LLMs and AI-driven insights.

If you’re passionate about blockchain and decentralized technologies, explore more opportunities in web3 and cryptocurrency careers.