BI Data Engineer
Analytics
Business Analytics
Business Intelligence
Cloud Operations
Data
Data Analysis
Data Analytics
Data Architecture
Data Engineer
Data Engineering
Data Integration
Data Pipeline
Data Platform
Data Processing
Data Visualization
Data Viz
Data Warehouse
Database
Databases
Dataviz
Digital Marketing
ETL
Informatica
Integration
Machine Statistics
Quicksight
Reporting and Analytics
SQL
Tableau
Visual Design
Job Description
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)
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