Business Intelligence Engineer

We are seeking a Business Intelligence (BI) Developer to join our analytics team and help transform complex data into clear, actionable insights. This role blends traditional BI development with AI-enhanced analytics, enabling smarter, faster decision-making across the organization. This is a hands-on role for someone who can build polished, user-friendly Power BI reports while also thinking critically about how data tells a story. The ideal candidate brings an automation-first and AI-forward mindset, leveraging Power BI capabilities, Copilot integrations, and workflow automation to elevate data consumption. Key Responsibilities • Design, develop, and maintain Power BI dashboards, reports, and semantic models aligned with business needs. • Build and optimize data models using Power Query (M) and DAX, ensuring accuracy, performance, and scalability. • Develop and manage Power Automate workflows to support: • Automated report distribution • Data refresh alerts and notifications • Workflow integrations with Teams and email • Apply AI-driven features in Power BI, such as: • Smart Narratives • Key Influencers • Decomposition Trees • Anomaly Detection • Q&A (natural language queries) • Write SQL queries to extract, transform, and prepare data from relational sources (e.g., cloud data warehouses, SQL-based systems). • Collaborate with cross-functional teams to gather requirements and deliver meaningful BI solutions. • Engage with business users to gather feedback, support adoption, and improve reporting usability. Qualifications & Requirements • 5+ years of Power BI experience, delivering business-facing dashboards and reporting solutions. • Strong expertise in: • DAX (measures, calculated tables, time intelligence) • Power Query (M) for data transformation • Experience building Power Automate flows for reporting automation and alerting. • Familiarity with AI-enabled Power BI features and interest in leveraging AI to enhance analytics. • Experience working with modern data platforms (e.g., cloud-based warehouses or lakehouse architectures). • Strong understanding of data visualization best practices and user-centric report design. • Experience managing content in Power BI Service, including: • Workspaces • Row-level security • Scheduled refresh • Deployment pipelines • Demonstrated focus on automation, efficiency, and continuous improvement. • Relevant certification such as Microsoft PL-300 (Power BI Data Analyst) is preferred.