Sr. Business Intelligence and Insights Engineer

About the role

Third Wave Automation is a startup focused on applying modern machine learning to materials handling, delivering autonomous forklift navigation and infrastructure-free pallet handling that adapts to changing environments.

Responsibilities

• Challenge the Status Quo: Audit and evolve organizational KPIs. Propose new metrics for success.
• Deep-Dive Discovery: Perform exploratory analysis to uncover hidden signals in autonomous product data.
• Model Innovation: Design and implement novel data models for predicting future outcomes in customer environments.
• Architecture Influence: Influence the design and documentation of data structures to support evolving organizational needs.
• Engineer the Pipeline: Provide feedback on data ingestion pipelines and validate data sources for performance reporting.
• Partner for Growth: Build strong partnerships with Engineering and Product teams to inform solution requirements and roadmap.
• Empower Customers: Develop tools and reporting for customers to visualize the value provided.
• Create Visualizations: Produce compelling visualizations for both internal and external audiences.
• Scale with an AI-First Mindset: Champion the use of AI tools to automate mundane tasks and generate insights.

Qualifications

• First-Principles Thinking: Focuses on understanding the "why" behind decisions.
• Statistical Fluency: Extensive experience with advanced statistical techniques on custom, non-linear data sets.
• Technical Mastery: Proficient in SQL, Python, or JavaScript, with deep experience in data warehouses and analytics tools.
• Database Architect Mindset: Skilled in database design, data models, and data mining techniques.
• AI-Enabled Scale: Comfortable deploying AI agents and automated workflows to enhance insight generation.
• Master Storyteller: Excellent presentation skills for influencing executives and engineering leads.

Preferred

• Zero-to-One Experience: Proven track record of being the first data hire or building a data function from scratch.
• Domain Expertise in Physical Tech: Prior experience in Robotics, Autonomous Vehicles, IoT, or Industrial Automation.
• The "Analytics Engineer" Layer: Deep experience with dbt or similar frameworks for data transformation.
• Product-Led Growth Mindset: Experience in PLG funnel building or data-driven product feature prioritization.
• Advanced Statistical Modeling: Ability to move beyond descriptive statistics to predictive modeling.
• Visual Design Aesthetic: High standards for data visualization, creating intuitive interfaces.
• Cloud Architecture Literacy: Familiarity with cloud infrastructure and data flow from devices to the cloud.

Benefits

A robust set of benefits including comprehensive health, dental, vision plans, a 401(k) matching program, flexible working hours, free meals, and a variety of snacks. We also offer a supportive culture with great teammates and a focus on safety, people, encouragement, and transparency.

Pay Range

The pay range for this position is $131,000 - $216,000/year + benefits + equity. Base pay may vary based on job-related knowledge, skills, and experience.