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Staff AI Data Analytics Engineer

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Onsite

Staff AI Data Analytics Engineer

Symbotic LLC

Staff AI Data Analytics Engineer

Skills

SQL QueriesLookerData EngineeringTableauPythonData ScienceData VisualizationData AnalysisAIWorkdaySupply ChainRisk ManagementPower BI

3 months ago

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Important information


Contract type:

Permanent

Salary:

$149,000 – $204,600 / year

Location:

Haq, West Azerbaijan Province, Iran

Work mode:

Onsite

Published on:

14 August 2026

What they need


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.

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 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.

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.

#LI-Hybrid

#LI-DW

About Symbotic

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 speed, agility, accuracy and efficiency. As the backbone of commerce the Symbotic platform transforms the flow of goods and the economics of supply chain for its customers. For more information, visit www.symbotic.com.

We are a community of innovators, collaborators and pioneers who embrace our differences, because we know unique perspectives make us stronger and smarter. Every perspective matters. We depend on the collective voices of our employees, customers and community to help guide us as we build a better place to work – for you and the world. That’s why we’re proud to be an equal opportunity employer.

We do not discriminate based on race, color, ethnicity, ancestry, religion, sex, national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, gender expression, veteran status, or genetic information.

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