Senior Analytics Engineer

Required

• 3+ years of experience in analytics engineering, data analytics, business intelligence, data science, or a similarly analytical role, with a track record of delivering meaningful business impact.
• Strong SQL proficiency and experience working with complex datasets to uncover insights, solve problems, and support business decisions.
• Advanced programming skills in Python or other languages for data transformation and analysis, and experience with ETL pipelines or similar modern data stack tools.
• Experience with modern data tools and infrastructure, including data modeling, cloud data warehouses, and transformation tools such as dbt. We value strong fundamentals over experience with any specific stack.
• A full-stack data mindset: You’re comfortable working across data analysis and engineering, with deeper expertise in at least one area and a genuine interest in developing your skills in the other.
• Strong analytical thinking and business intuition: You thrive in ambiguity, ask thoughtful questions, and know how to translate complex data into clear, actionable recommendations.
• An ownership mentality: You’re proactive, resourceful, and motivated by solving meaningful problems rather than simply delivering reports or maintaining infrastructure.
• Curiosity about AI and emerging technologies: You’re excited to experiment with LLMs, AI-powered analytics, and new tools to improve efficiency and push the boundaries of what’s possible with data.
• Excellent communication and collaboration skills: You can effectively partner with technical and non-technical stakeholders, communicate insights clearly, and influence decisions across the business.