Analytics Engineer
PINAXIS Warehouse Automation
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Greater Boston
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0
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Entry level
Posted April 17, 2026
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Responsibilities
Commitments
Responsibilities
- Dimensional modeling (star schemas, conformed dimensions, Date/KPI tables) and semantic layer ownership
- Power Quary (M) + SQL to ingest, shape, and document datasets
- Pipelines & reliability: Dataflows and/or Azure data factory, parameterization, refresh stability, workspace hygiene
- Data quality + observability: validations, reconciliation checks, and automated alerts
- Enablement: reusable templates, DAX library, house theme, and lightweight stakeholder guides
- n8n workflow automation: build and maintain lightweight automations or data quality checks, refresh/run monitoring, and alerts Qualifications
- Strong skills in Data Engineering and Data Warehousing
- Proficiency in Data Modeling
- Experience with Data Analytics and interpreting datasets to provide insights
- Knowledge of database technologies, programming languages, and data visualization tools
- Problem-solving mindset with a keen attention to detail
Commitments
Role Description This is a full-time hybrid intern role located in or near Andover, MA or near Austin, TX, for an Analytics Engineer.
Must be able to work and collaborate within a team environment
Not Met Priorities
What still needs stronger evidence
Requirements
- Dimensional modeling (star schemas, conformed dimensions, Date/KPI tables) and semantic layer ownership
- Power Quary (M) + SQL to ingest, shape, and document datasets
- Pipelines & reliability: Dataflows and/or Azure data factory, parameterization, refresh stability, workspace hygiene
- Data quality + observability: validations, reconciliation checks, and automated alerts
- n8n workflow automation: build and maintain lightweight automations or data quality checks, refresh/run monitoring, and alerts Qualifications
- Strong skills in Data Engineering and Data Warehousing
- Proficiency in Data Modeling
- Experience with Data Analytics and interpreting datasets to provide insights
- Knowledge of database technologies, programming languages, and data visualization tools
- Problem-solving mindset with a keen attention to detail
- Portfolio is required with 2 to 4 examples of your work.
- We want to see your model thinking, transformation, and what you did to improve performance and reliability
- Must be able to work and collaborate within a team environment
- Good verbal and written communication skills is a must.
Preferred Skills
- Knowledge or experience in automation or warehouse-related industries is a plus
- We want to see your model thinking, transformation, and what you did to improve performance and reliability
Education
- (Not required) – Working towards master's degree in Data Science or a related technical field
- (Required) – Portfolio is required with 2 to 4 examples of your work.
Company Description PINAXIS is an automation distribution integration company with decades of expertise. The company specializes in consulting, designing, planning, and implementing advanced automated warehouse robotic systems and software for material handling and intralogistics. With a focus on efficiency and innovation, PINAXIS provides tailored consulting services and product solutions to optimize supply chain operations. We are committed to delivering excellence and driving seamless operations in the logistics sector. PINAXIS is a member of the GEBHARDT Group. Role Description This is a full-time hybrid intern role located in or near Andover, MA or near Austin, TX, for an Analytics Engineer. This position will take raw operational data, create a solid pipeline, and turn it into meaningful insights that can determine operational decisions. The Analytics Engineer will collaborate with cross-functional teams to implement data models, develop efficient and analyze datasets to extract actionable insights and contribute to data strategy and decision-making for warehouse automation solutions. What You'll Actually Do:
Dimensional modeling (star schemas, conformed dimensions, Date/KPI tables) and semantic layer ownership
Power Quary (M) + SQL to ingest, shape, and document datasets
Pipelines & reliability: Dataflows and/or Azure data factory, parameterization, refresh stability, workspace hygiene
Data quality + observability: validations, reconciliation checks, and automated alerts
Enablement: reusable templates, DAX library, house theme, and lightweight stakeholder guides
n8n workflow automation: build and maintain lightweight automations or data quality checks, refresh/run monitoring, and alerts Qualifications
Strong skills in Data Engineering and Data Warehousing
Proficiency in Data Modeling
Experience with Data Analytics and interpreting datasets to provide insights
Knowledge of database technologies, programming languages, and data visualization tools
Problem-solving mindset with a keen attention to detail
Working towards master's degree in Data Science or a related technical field
Knowledge or experience in automation or warehouse-related industries is a plus
Portfolio is required with 2 to 4 examples of your work. We want to see your model thinking, transformation, and what you did to improve performance and reliability
Must be able to work and collaborate within a team environment
Good verbal and written communication skills is a must.
Dimensional modeling (star schemas, conformed dimensions, Date/KPI tables) and semantic layer ownership
Power Quary (M) + SQL to ingest, shape, and document datasets
Pipelines & reliability: Dataflows and/or Azure data factory, parameterization, refresh stability, workspace hygiene
Data quality + observability: validations, reconciliation checks, and automated alerts
Enablement: reusable templates, DAX library, house theme, and lightweight stakeholder guides
n8n workflow automation: build and maintain lightweight automations or data quality checks, refresh/run monitoring, and alerts Qualifications
Strong skills in Data Engineering and Data Warehousing
Proficiency in Data Modeling
Experience with Data Analytics and interpreting datasets to provide insights
Knowledge of database technologies, programming languages, and data visualization tools
Problem-solving mindset with a keen attention to detail
Working towards master's degree in Data Science or a related technical field
Knowledge or experience in automation or warehouse-related industries is a plus
Portfolio is required with 2 to 4 examples of your work. We want to see your model thinking, transformation, and what you did to improve performance and reliability
Must be able to work and collaborate within a team environment
Good verbal and written communication skills is a must.