Senior AI Analytics Engineer

Who we are

With its A.I.

-powered robotic technology platform, Symbotic is changing the way consumer goods move through the supply chain. Intelligent software orchestrates advanced robots in a high-density, end-to-end system – reinventing warehouse automation for increased efficiency, speed and flexibility.

We are looking for an AI Analytics Engineer to join Symbotic. Your job will be to design and build an intelligent analytics ecosystem that aggregates operations data across multiple systems and leverages agentic AI to generate insights, dashboards, and proactive recommendations. This individual will play a critical role in enabling scalable, real-time visibility into business performance as we grow globally, with a focus on hands-on development of robust, production-level data systems.

• Aggregate and unify data across disparate systems.
• Design scalable data models and pipelines to enable reliable and real-time analytics.

• Leverage agentic AI tools to dynamically generate reports and dashboards.
• Build solutions that provide both real-time visibility and historical trend analysis across key business initiatives.
• Implement AI-driven workflows to automate data analysis, reporting, insight generation, and risk mitigation strategies.

• Develop intuitive, executive-ready dashboards that highlight key performance indicators and insights.
• Collaborate with cross-functional analytics and business partners to align on priorities and ensure insights translate into measurable outcomes.
• Ensure reporting is actionable and aligned to business priorities.

• Analyze data to identify risks, inefficiencies, and performance gaps
• Provide clear, data-driven recommendations to mitigate risks and improve outcomes.

• Establish and enforce enterprise-wide data governance and standards, including clear ownership of core metrics across systems, metric definitions, calculation methodologies, source-of-truth alignment across systems.
• Lead data governance and data quality efforts, includingidentifyingand remediating inconsistencies across data sources and pipelines, and ensuring accuracy, consistency, and trust in analytics outputs.

• Bachelor’s degree or higher in Computer Science, Data Science, Engineering, Mathematics, or a related technical discipline.
• Minimum of 5 years of experience in Data Engineering, Analytics Engineering, or Data Science with a strong foundation in statistical analysis and data modeling.
• Experience building agentic AI frameworks for analytics automation.
• Strong proficiency in SQL and Python (data manipulation, analysis, automation).
• Expertise in data visualization tools (e.g., Tableau, Power BI, Looker).
• Experience working with large, multi-source datasets and building scalable data models.
• Demonstrated hands-on coding capability, with experience designing, building, and maintaining production-grade data pipelines and analytics systems.
• Experience defining and implementing data governance frameworks, including metric standardization, data ownership models, and source-of-truth alignment.
• Strong business acumen with the ability to translate data into actionable insights.
• Comfortable operating in a fast-paced, high-growth environment where speed, ownership, and adaptability are critical.

• Up to 10% of travel may be required. Employees must have a valid driver’s license and the ability to drive and/or fly to client and other customer locations.
• The employee is responsible forowning a credit card and managing expenses personally to be reimbursed on a bi-weekly basis.

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Symbotic is an automation technology leader reimagining the supply chain with its end-to-end, AI-powered robotic and software platform. Symbotic reinvents the warehouse as a strategic asset for the world’s largest retail, wholesale, and food & beverage companies. Applying next-gen technology, high-density storage and machine learning to solve today’s complex distribution challenges, Symbotic enables companies to move goods with unmatched…