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Symbotic

Senior Business Intelligence Engineer

Symbotic

Senior Business Intelligence Engineer designing data models and analytical solutions for Symbotic's robotic technology. Collaborating with business stakeholders and migrating data lakes to cloud.

Posted 7/1/2026full-timeRemote • Massachusetts • 🇺🇸 United StatesSenior💰 $101,000 - $138,600 per yearWebsite

Tech Stack

Tools & technologies
CloudETLNoSQLPythonScalaTableau

About the role

Key responsibilities & impact
  • 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.

Requirements

What you’ll need
  • 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 is preferred.
  • Proficiency with version control tools such as Git, GitLab, and GitHub is preferred.
  • Experience with wholesale and/or retail industry systems — procurement, merchandising, financial, warehouse, and retail is preferred.

Benefits

Comp & perks
  • medical
  • dental
  • vision
  • disability
  • 401K
  • PTO

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Hard Skills & Tools
Data ModelingAdvanced AnalyticsPredictive ModelingData Warehouse DesignETL DevelopmentTechnical Design DocumentsAgile MethodologyWaterfall MethodologyBig DataNoSQL
Soft Skills
Problem-SolvingCollaborationCommunication