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Closed on September 18, 2026.
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BI Data Engineer
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Job Description
Motion Recruitment is building analytics capabilities to support a growing robotics fleet, and this role serves as a key technical anchor for the BI and analytics infrastructure. You will help shape how data turns into dashboards, metrics, and decision-ready reporting, with a focus on reliability, long-term data quality, and clear analytical communication.
As the BI Data Engineer, you will lead end-to-end work across design and deployment of analytics products, partner across teams, and set standards that keep dashboards healthy over time as reporting needs evolve.
Responsibilities
- Build scalable dashboards
- Define new metrics
- Ensure long term data quality and pipeline reliability as the robotics fleet grows
- Lead end to end design and deployment of analytics products
- Establish team wide SOPs for dashboard health, including version control, automated data validation, depreciation strategies, and access controls
- Collaborate cross functionally with Data Scientists, Des, and product managers
- Run foundational statistical deep dives to audit robot efficiency and system health
- Write high impact whitepapers and analytical deep dives that guide leadership on future design and roadmap decisions
Requirements
- BI ownership and experience, including leading end to end design and deployment of analytics products
- Experience establishing team wide SOPs for dashboard health, including version control, automated data validation, depreciation strategies, and access controls
- Cross functional synergy with Data Scientists, Des, and product managers
- Applied Machine Statistics experience, including running foundational statistical deep dives to audit robot efficiency and system health
- Ability to write high impact whitepapers and analytical deep dives that guide leadership on future design and roadmap decisions
- SQL & Data Modeling
- Experience with data visualization and reporting systems, such as AWS QuickSight and Tableau
- Experience identifying new data sources and building basic ETL pipelines
Technical Focus
Technical work centers on SQL, Data Modeling, AWS QuickSight, Tableau, ETL, and Applied Machine Statistics.
- 35% Data Engineering
- 25% System Evaluation & Applied Statistics
- 25% Technical Writing
- 15% Cross Functional Strategy
Collaboration & Work Style
- 70% Hands On
- 30% Team Collaboration
Location
Boston, MA (onsite)
Desired Skills
- SQL & Data Modeling
- Experience with data visualization and reporting systems, such as AWS QuickSight or Tableau
- Experience identifying new data sources and building basic ETL pipelines