Third Wave Automation

Technology

Sr.BusinessIntelligenceandInsightsEngineer

$165–235k ~AI est. United States
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“Sr. Business Intelligence and Insights Engineer at Third Wave Automation”

Industry & Context.

Technology
Full Job Description

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, you’ll fit right in. Third Wave Automation is applying modern machine learning to materials handling—delivering 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 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. 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 isn't driving a decision, you’ll 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 don't 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. W

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