About the role

BI Engineer at Semperis developing Power BI reporting solutions and enhancing analytics capabilities using AI. Collaborating with data and engineering teams to drive insights.

Responsibilities

Own the design, development, and maintenance of Power BI reporting solutions, dashboards, scorecards, and executive reporting.
Develop highly visual, intuitive, and interactive dashboards that enable self-service analytics across the organization.
Build and maintain Power BI semantic models and datasets that support scalable reporting and analysis.
Create and optimize complex DAX measures, calculations, KPIs, and business logic.
Establish reporting standards, best practices, and governance processes for Power BI development.
Monitor and optimize report performance, refresh processes, and adoption metrics.
Partner with business stakeholders to define requirements, metrics, and reporting solutions.
Translate business questions into actionable analytics and visualizations.
Develop scalable measurement frameworks and reporting methodologies.
Support data validation, testing, and quality assurance across reporting assets.
Drive continuous improvement of business intelligence processes, tools, and reporting standards.
Identify opportunities to leverage AI capabilities within Power BI and analytics workflows.
Partner with data and engineering teams to operationalize AI-driven insights within reporting experiences.
Evaluate and implement generative AI use cases that improve business user productivity and analytics adoption.

Bachelor's degree in Computer Science, Information Systems, Statistics, Mathematics, Engineering, Analytics, or a related field.
5+ years of experience designing and developing business intelligence solutions.
4+ years of hands-on Power BI experience building enterprise reporting solutions.
Advanced expertise with DAX, Power Query, and Power BI semantic modeling.
Strong understanding of dimensional modeling, data warehousing concepts, and analytical data structures.
Proficiency in SQL for data analysis and troubleshooting.
Experience testing and validating dashboards for accuracy, consistency, and performance.
Demonstrated ability to communicate effectively with both technical and business audiences.
Strong analytical and problem-solving skills with a focus on delivering business value.
Experience using AI tools to improve analytics workflows.