BI Data Engineer

The BI Data Engineer role at Motion Recruitment serves as a technical anchor for the organization’s analytics infrastructure. The focus is on building scalable reporting and dashboards, formalizing metric definitions, and maintaining data quality and pipeline reliability as the robotics fleet grows.

Responsibilities

• Build scalable dashboards to support ongoing analytics needs.
• Define new metrics for analytics and reporting.
• Ensure long-term data quality and pipeline reliability as the robotics fleet expands.
• 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.
• Work closely with Data Scientists, Des, and product managers to align analytics outputs with product and research priorities.
• Conduct foundational statistical deep dives to audit robot efficiency and system health.
• Write whitepapers and analytical deep dives that inform leadership on future design and roadmap decisions.

Requirements

• BI ownership and experience leading end-to-end design and deployment of analytics products.
• Ability to establish team-wide SOPs for dashboard health, including version control, automated data validation, depreciation strategies, and access controls.
• Cross-functional collaboration experience with Data Scientists, Des, and product managers.
• Applied Machine Statistics experience, including 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 and 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.

Technologies

SQL, Data Modeling, AWS QuickSight, Tableau, ETL, Applied Machine Statistics

Time and Work Focus

• 35% Data Engineering
• 25% System Evaluation & Applied Statistics
• 25% Technical Writing
• 15% Cross Functional Strategy

Daily Responsibilities

• 70% Hands On
• 30% Team Collaboration

Desired Skills & Experience

• SQL and 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.

Location

Boston, MA (onsite)