Staff AI Data Analytics Engineer

About the role

Symbotic is an automation technology leader reimagining the supply chain with its end-to-end, AI-powered robotic and software platform. The AI Analytics Engineer will 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.

Responsibilities

• Data Integration & Modeling
• Aggregate and unify data across disparate systems.
• Design scalable data models and pipelines to enable reliable and real-time analytics.
• AI-Driven Analytics & Reporting
• 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.
• Dashboarding & Visualization
• 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.
• Risk Identification & Actionable Recommendations
• Analyze data to identify risks, inefficiencies, and performance gaps.
• Provide clear, data-driven recommendations to mitigate risks and improve outcomes.
• Data Governance
• 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, including identifying and remediating inconsistencies across data sources and pipelines, and ensuring accuracy, consistency, and trust in analytics outputs.

Requirements

• Bachelor’s degree or higher in Computer Science, Data Science, Engineering, Mathematics, or a related technical discipline.
• Minimum of 8 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.

Qualifications

• Valid driver’s license and the ability to drive and/or fly to client and other customer locations.
• The employee is responsible for owning a credit card and managing expenses personally to be reimbursed on a bi-weekly basis.

Skills

• SQL
• Python
• Data visualization tools (e.g., Tableau, Power BI, Looker)
• Data integration and modeling
• Agentic AI frameworks
• Data governance and standards
• Data quality efforts
• Data analysis and reporting
• Data visualization
• Data-driven decision making
• Business acumen

Benefits

Base range for this position in the posted location is $149,000.00 - $204,600.00. The compensation package includes medical, dental, vision, disability, 401K, PTO and/or other benefits.

Pay

Base range for this position in the posted location is $149,000.00 - $204,600.00.

Schedule

Up to 10% of travel may be required.