- Robot type
- Warehouse and Logistics
- Location
- MassachusettsUSA
- Job type
- Business Operations
- Posted
- Jul 14, 2026
- Salary
- $101,000–$138,600 a year
Full-time
Senior Business Intelligence Engineer
Job description
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.
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.
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.
Job responsibilities
- Design and build data models based on analytics and reporting requirements, data sources, and mapping specifications.
- Develop programs and code using advanced analytics tools such as Qlik, Tableau, and Power BI to visualize data and deliver insights from complex transformation and mapping specs.
- Provide technical thought leadership on BI tools and analytical concepts across analytics, reporting, and dashboard projects.
- Partner with business stakeholders to deliver system projects, including planning, resource management, and deliverables.
- Troubleshoot and resolve data and reporting issues using advanced problem-solving techniques.
- Provide level-of-effort estimates for new project work, enhancements, and fixes.
- Support the migration of our existing data lake to a new cloud platform.
Job requirements
- Bachelor’s degree in Computer Science, Computer Engineering, Information Technology, or a related technical field.
- Minimum of 2 years of business intelligence and analytics experience, including interactive dashboards, QlikView, Tableau, NoSQL, and big data.
- Strong knowledge of data warehousing fundamentals, with hands-on experience designing large databases and data warehouses (logical and physical design) in a team environment.
- Proven experience across the full BI solution lifecycle analysis, design, development, testing, and implementation using data warehouse/data mart design, ETL, and client/server applications.
- Experience writing technical and functional design documents (TDD, FSD), test plans, gap analyses, and source-to-target mappings across Agile and Waterfall methodologies.
- Strong pattern recognition and predictive modeling skills.
- Knowledge of Python, Scala, and open-source data tools.
- Proficiency with version control tools such as Git, GitLab, and GitHub.