Senior AI Analytics Engineer
Time type: full time
Posted on: April 09, 2026
Job requisition id: R6834
What we need
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.
What you’ll do
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.
What you’ll need
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.
Our environment
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 for owning a credit card and managing expenses personally to be reimbursed on a bi-weekly basis.
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The base range for this position in the posted location is $120,000.00 - $165,000.00 however, base pay offered may vary depending on job-related knowledge, skills, and experience. The compensation package includes medical, dental, vision, disability, 401K, PTO and/or other benefits.
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