Senior AI Analytics Engineer

Exol•Wilmington, MA

4d•$120,000 - $165,000•Hybrid

About The Position

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.

Requirements

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.
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.

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.