Sr. Business Intelligence and Insights Engineer

Third Wave Automation • Union City, CA

8h • $131,000 - $216,000 • Hybrid

About The Position

Most data roles are about maintaining what already exists. This isn’t one of them. As our dedicated Business Intelligence Engineer, you aren't just joining a team; you are the architect of our data truth. We operate autonomous products in complex, unpredictable customer environments. This generates "messy" real-world data that defies standard templates. We need a skeptic and a creator—someone who looks at a dashboard and asks, "What are we missing?" and then builds the model to find it.

Requirements

• First-Principles Thinking: You should be more interested in the "why" than the "how" and have a demonstrated ability to think from the ground up.
• Statistical Fluency: 7+ years of experience using advanced statistical techniques to analyze custom, non-linear data sets.
• Technical Mastery: Proficiency in SQL, Python, or Javascript, with deep experience in data warehouses and analytics tools (BigQuery, Looker, GrafanaBigTable preferred).
• Database Architect Mindset: Technical proficiency in database design development, data models, and techniques for data mining and segmentation.
• AI-Enabled Scale: Beyond traditional analysis, you have an appetite for deploying AI agents and automated workflows to expand our alerting surface area. You see AI not as a buzzword, but as a tool to bridge the gap between massive datasets and actionable insights.
• Master Storyteller: Excellent presentation skills with the ability to influence executives and engineering leads by turning data into a compelling story.

Nice To Haves

• Zero-to-One Experience: Proven track record of being the first data hire or building a data function from scratch in a startup environment. You know how to choose the right tech stack (BigQuery, Snowflake, dbt) without a pre-existing manual.
• Domain Expertise in Physical Tech: Prior experience in Robotics, Autonomous Vehicles, IoT, or Industrial Automation. You understand the unique pain points of "hardware-meeting-software" data (e.g., latency, sensor noise, edge cases).
• The "Analytics Engineer" Layer: Deep experience with dbt (data build tool) or similar framework for transforming raw data into clean, documented, and tested modeling layers.
• Product-Led Growth Mindset: Experience working directly with Product Managers to build Product-Led Growth (PLG) funnels or using data to influence product feature prioritization.
• Advanced Statistical Modeling: Ability to go beyond descriptive statistics into predictive modeling (e.g., using Python/R for churn prediction, anomaly detection in robot performance, or regression analysis).
• Visual Design Aesthetic: A high bar for "Data Design." You don't just build charts; you build intuitive, executive-ready interfaces that tell a story at a glance.
• Cloud Architecture Literacy: Familiarity with cloud infrastructure (GCP/AWS) and how data flows from a physical device (the forklift) to the cloud and finally into the warehouse.

Responsibilities

• You will have the autonomy to tear down existing models and build new ways to measure the performance of our autonomous fleet products in the real world.
• Audit and evolve our organizational KPIs. If a metric isn't driving a decision, you’ll be the one to kill it and propose a better way to measure success.
• Perform deep-dive exploratory analysis to find the "hidden" signals in our autonomous product data that others might overlook.
• Design and implement novel data models that don't just track what happened, but leverage simulation models to predict what will happen next in our customer environments.
• Influence the design and support the documentation of the overall data structures to support the evolving needs of the organization.
• Provide critical feedback on our data ingestion pipelines and validate the data sources used for performance reporting.
• Build strong partnerships with Engineering and Product teams to inform solution requirements and influence the roadmap based on your findings.
• Work with our Customer Success team to provide tools and reporting that give our customers a clear view into the value we provide.
• Create compelling visualizations for both internal and external consumption that translate complex data clusters into a clear narrative.
• Champion the use of generative AI tools (e.g., Gemini, Cursor) to automate the mundane and generate quality insights

Benefits

• Comprehensive benefits. Health, Dental, Vision, and a 401k matching program, to boot!
• Flexible working schedule. Be productive when you work best.
• Show & Tell. We love to learn from one another, and see the cool stuff everyone is working on!
• Meals are covered. Lunch is provided every day, and dinner for those evenings that run long.
• Stacks of snacks. Donuts are a main food group, and the snack shelf is always stocked with a wide variety of items.
• Great teammates. One of the best parts of working here!

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed