Analytics Engineer

• Build and lead the analytics engineering team: Hire, mentor, and grow a team of analytics engineers who will work closely with finance, CX, HR, compliance and data science teams.
• Architect and lead core data modeling initiatives: Architect our core data models. Provide technical leadership while guiding a team of expert modelers, ensuring scalable, reliable, and high-impact data foundations.
• Obsess over data quality and reliability: Create and enforce rigorous testing, monitoring, and validation frameworks to ensure data is accurate, consistent, and trusted at all times.
• Develop deep domain expertise: Ensure your team deeply understands finance, CX, HR, compliance and 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 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.

Senior Manager, Analytics Engineering

Salary

Job Level

Tech Stack

About the role

Requirements

Associate Analytics Engineer

Director of Engineering — Data, Automation & Analytics

Machine Learning Engineer

Data Engineer

Skills Strategy Manager, Customer Success