Exol

Aug 21, 2026

Staff AI Data Analytics Engineer

HybridUnited States

Wilmington, Massachusetts, United States

PythonSQL

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.

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 symbotic.com 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.

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 for executive leadership. 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 and dashboards. The ideal candidate brings broad exposure to different areas of a business and is comfortable moving across functions, asking questions, challenging assumptions, and proactively seeking out the information needed to solve ambiguous problems.

What you’ll do

Business Analysis & Strategic Insights

Partner with leaders and cross-functional teams to understand business questions, reporting needs, risks, and opportunities.

Work across different areas of the organization and develop an understanding of how business functions, processes, metrics, and data connect.

Analyze data to identify trends, risks, inefficiencies, and performance gaps, then translate findings into clear recommendations and next steps.

Proactively seek out answers, challenge assumptions when appropriate, and navigate ambiguity across different layers of the business.

Present your insights to C-suite level leaders to influence their strategy and operation thinking.

Data Consumption & Analytics

Work with data engineering and platform teams to understand and consume data from existing enterprise data sources.

Understand database and schema structures, relationships between datasets, metric definitions, and how information flows across systems.

Use SQL and Python to query, analyze, transform, and work with data for custom analytics and reporting use cases.

Partner with teams responsible for data pipelines and infrastructure to communicate data requirements and resolve gaps or quality issues.

Reporting, Dashboards & Data Exploration

Build custom dashboards and executive-ready reporting that clearly communicate KPIs, trends, risks, and business performance.

Use visualization and analytics tools such as Tableau, Power BI, Qlik, Looker, or similar platforms where appropriate.

Develop custom analytics experiences using Python, SQL, and other tools when traditional BI platforms are not sufficient.

Build mechanisms that allow users to search, query, drill into, and explore underlying data, including self-service and natural-language experiences where appropriate.

Ensure reporting is intuitive, actionable, and aligned with the decisions business leaders need to make.

AI-Enabled Analytics & Reporting

Build on top of existing LLMs, agents, and enterprise AI capabilities to make analytics and reporting more effective.

Develop plugins, tools, integrations, search capabilities, and other reusable assets that extend existing AI platforms.

Use AI to automate or enhance data analysis, reporting, summarization, insight generation, and information retrieval.

Data Quality, Metrics & 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, Business Analytics, Information Systems, or a related discipline.

Minimum of 8 years of experience in data analytics, analytics engineering, data science, business intelligence, business analytics, or a related field.

Strong business analysis skills, including the ability to turn loosely defined questions into structured analysis and data-driven recommendations.

Hands-on experience applying LLMs or existing AI/agent platforms to analytics, reporting, search, or workflow automation. Experience building plugins, tools, integrations, or reusable capabilities on top of existing AI platforms is preferred.

Experience working with large, multi-source datasets and partnering with data engineering teams to define data requirements and resolve data issues.

Strong proficiency in SQL and Python for querying, analysis, automation, and building custom analytics solutions.

Strong understanding of databases, schemas, data relationships, and how to consume and work with enterprise data layers.

Experience building dashboards and executive reporting using Tableau, Power BI, Qlik, Looker, or similar visualization platforms.

Strong communication skills and the ability to present complex data and recommendations to senior and executive stakeholders.

Highly proactive and comfortable operating in ambiguous, fast-paced environments where curiosity, ownership, and adaptability are critical.

Experience building custom mechanisms or interfaces that allow users to search, query, or explore data is strongly preferred.

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

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.

Languages

Staff AI Data Analytics Engineer

Who we are

About Symbotic

What we need

What you’ll do

Business Analysis & Strategic Insights

Data Consumption & Analytics

Reporting, Dashboards & Data Exploration

AI-Enabled Analytics & Reporting

Data Quality, Metrics & Governance

What you’ll need

Our environment

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