Sr. Business Intelligence and Insights Engineer

Company Description

Third Wave Automation is a rapidly growing startup that has demonstrated its core technology components proven its market fit and just closed its Series C funding. If you are excited about cutting edge machine learning robotics that affects the real world and want to join a company where your skills can have a huge impact youll fit right in.

Third Wave Automation is applying modern machine learning to materials handlingdelivering site-specific forklift navigation and infrastructure-free pallet handling that continuously adapts to changing floor configuration and warehouse demand.

Job Description

Most data roles are about maintaining what already exists. This isnt one of them.

As our dedicated Business Intelligence Engineer you arent 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 creatorsomeone who looks at a dashboard and asks What are we missing and then builds the model to find it.

How You Can Make an Impact

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.

• Challenge the Status Quo: Audit and evolve our organizational KPIs. If a metric isnt driving a decision youll be the one to kill it and propose a better way to measure success.
• Deep-Dive Discovery: Go beyond the surface. Perform deep-dive exploratory analysis to find the hidden signals in our autonomous product data that others might overlook.
• Model Innovation: Design and implement novel data models that dont just track what happened but leverage simulation models to predict what will happen next in our customer environments.
• Architecture Influence: Influence the design and support the documentation of the overall data structures to support the evolving needs of the organization.

What Youll Do (Your First 90 Days and Beyond)

• Engineer the Pipeline: Provide critical feedback on our data ingestion pipelines and validate the data sources used for performance reporting.
• Partner for Growth: Build strong partnerships with Engineering and Product teams to inform solution requirements and influence the roadmap based on your findings.
• Empower Customers: Work with our Customer Success team to provide tools and reporting that give our customers a clear view into the value we provide.
• Visualize the Future: Create compelling visualizations for both internal and external consumption that translate complex data clusters into a clear narrative.
• Scale with an AI-First Mindset: Champion the use of generative AI tools (e.g. Gemini Cursor) to automate the mundane and generate quality insights

Desired Qualifications

• 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.

Preferred

• 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 dont 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.

The pay range for this position is $131000 - $216000/yr benefitsequity; however base pay offered may vary depending on job-related knowledge skills and experience. Base pay information is based on market location.

More About Working Here

Our Core Values:

• Safety. We consider safety in everything we do.
• People. We care about our teammates as people.
• Encouragement. We encourage teaching asking questions and sharing opinions.
• Transparency. We are transparent and sincere in our actions.

A robust set of benefits and perks:

• 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!

We are an equal opportunity employer and value diversity at our company. We value each persons expertise and experiences. We do not discriminate on the basis of race religion color national origin gender sexual orientation age marital status veteran status or disability status.

All qualified applicants able to work in the United States are encouraged to apply. We are unable to sponsor H-1 visas subject to fees required by the Restriction on Entry of Certain Nonimmigrant Workers Presidential Proclamation dated September 21 2025.