Analytics Engineer
First seen by Alion on Nov 12, 2026.
We are seeking a highly motivated individual to support and evolve our data, planning, and analytics ecosystem. This role will work across Microsoft D365, Azure data platforms and Supply and Demand planning software (Kinaxis Maestro) to maintain and deliver reliable data pipelines, resolve system issues, and support business reporting and analytics.
The ideal candidate is a self-starter, strong critical thinker, and hands-on problem solver who can reverse engineer existing processes and code, identify root causes, and continuously improve system reliability and performance. Familiarity with supply chain operations and planning concepts is essential.
Responsibilities
What you will do as the Analytics Engineer:
Employees employed in the role of Analytics Engineer shall be required to apply their independent mind and demonstrate intellectual abilities in their decision-making.
The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. This job description is not intended to be a comprehensive list of the duties and responsibilities of the position, and the duties and responsibilities may change without notice.
Key Responsibilities:
Design, support, and enhance data pipelines and integrations using Azure Databricks, Azure Data Factory, and related Azure services
Investigate, troubleshoot, and resolve bugs, incidents, and data quality issues across planning, reporting, and integration workflows
Support and enhance integrations, data flows, and analytical use cases
Develop and maintain SQL, Python, and Scala code for data transformation, validation, and analytics
Build and support Power BI datasets, semantic models, and reports for supply chain and operations stakeholders
Collaborate with business partners to refine user stories and technical requirements, translating business needs into scalable solutions
Actively participate in team workflows including backlog grooming, sprint execution and demonstration
Perform root-cause analysis by reverse engineering existing code, pipelines, and undocumented processes
Recommend and implement improvements to data modeling, performance, monitoring, and reliability
Document systems, data flows, and operational procedures to improve maintainability and knowledge sharing
What you will bring to the team:
Education/Certification:
Bachelors degree in a related field.
Required Experience:
Strong experience with Azure Databricks, Azure Data Factory, and cloud-based data architectures
Proficiency in SQL and Python (Scala experience also preferred)
Experience with Power BI, including data modeling and performance optimization
Experience supporting production data pipelines and troubleshooting complex issues
Proven ability to work independently, prioritize work, and navigate ambiguity
Strong analytical and problem-solving skills with attention to detail
Experience working with Kinaxis Maestro (or similar supply chain planning systems)
Exposure to enterprise ERP systems (e.g., SAP, Oracle, Dynamics)
Prior experience supporting business critical operational systems