DST Business Analyst and Business Intelligence Developer

About the Role

This role is responsible for designing, delivering, and maintaining the company’s enterprise business intelligence ecosystem, leveraging both internal and external data sources. It will lead the development and support of enterprise-wide BI applications, data models, and analytics architecture.

Key Responsibilities

• Leading BI software development, deployment, and maintenance.
• Performing Data Profiling and Data Analysis activities to understand data sources.
• Report curation, template definition, and analytical data modeling.
• Working with cross-functional teams to gather and document reporting requirements.
• Translating business requirements into specifications for implementing reports and dashboards from potentially multiple data sources.
• Identifying and resolving data reporting issues, while looking for continuous improvement opportunities.
• Building solutions that create value and resolve business problems.
• Providing technical guidance to designers and other stakeholders.
• Working effectively with members of the Digital Solutions Team.
• Troubleshooting analytics tool problems and tuning for performance.
• Developing semantic layer and analytics query objects for end users.
• Translation of business questions and requirements into reports, views, and analytics query objects.
• Ensuring that quality standards are met.
• Supporting Master Data Management Strategy.

Requirements & Tech Stack

• Strong understanding of ERP and operational system data structures, with the ability to interpret, navigate, and optimize complex relational databases.
• Advanced proficiency in writing high-performance SQL queries against large-scale, complex datasets, including optimization and troubleshooting.
• Hands-on experience in data visualization, dashboard design, and data storytelling.
• Experience designing, debugging, and deploying BI solutions within an Azure DevOps (ADO) environment, including CI/CD practices, version control, and release management.
• Proficiency with the Microsoft BI Stack, including:
• Power BI (data modeling, DAX, visualization best practices, Power BI Service)
• SQL Server Analysis Services (SSAS/AAS)—tabular model development, optimization, and deployment.
• Experience working with Azure Data Platform services such as Azure Data Lake Storage (ADLS), Azure Data Factory (ADF), Azure Synapse Analytics, and Power BI Service.
• Knowledge of Databricks or Microsoft Fabric is considered a strong asset.
• Basic understanding of manufacturing and sales business processes.
• Experience working in an international or distributed business environment.
• Strong analytical capabilities.
• Excellent communication and presentation skills, capable of conveying technical concepts to business stakeholders.
• Ability to facilitate meetings, workshops, and design sessions.
• Strong interpersonal skills, with the ability to work collaboratively with cross-functional teams.
• Proficiency in English is required.
• Knowledge of German or French is considered an asset.