BI Engineer

Responsibilities

• Translate business questions, reporting requirements, and KPI definitions into scalable Power BI solutions and reusable semantic models.
• Design and develop Power BI datasets, semantic models, dashboards, scorecards, paginated reports, and complex interactive reports.
• Build dimensional models, relationships, calculation groups, hierarchies, field parameters, measures, and business-friendly reporting layers.
• Develop advanced DAX, Power Query, SQL, and reusable BI patterns for accurate, performant analytics.
• Create intuitive report experiences using drill-through, bookmarks, dynamic filtering, navigation, conditional formatting, and effective visualization design.
• Tune model and report performance using query reduction, aggregations, source optimization, model design, and refresh optimization.
• Validate data, reconcile metrics, investigate discrepancies, and partner with data engineering teams to resolve upstream data issues.
• Configure row-level security, object-level security, workspace access, deployment pipelines, endorsements, sensitivity labels, and lifecycle controls.
• Monitor refreshes, usage, performance, adoption, and production issues; document metric definitions, model design, lineage, dependencies, and support procedures.
  

Qualifications

• Education & Experience
• Bachelor’s degree in Computer Science, Information Systems, Data Analytics, Business Analytics, Mathematics, or a related discipline, or equivalent combination of education and experience.
• 3+ years of experience in Power BI development, including semantic layer design, data modeling, dataset development, dashboard creation, reporting, and enterprise analytics solutions.
  Experience designing, developing, and supporting governed self-service analytics and business intelligence solutions.
• Technical Skills
• Advanced Power BI expertise, including semantic models, datasets, dashboards, reports, DAX, Power Query, deployment pipelines, refresh management, performance optimization, and visualization design.
• Strong SQL skills for data profiling, validation, metric reconciliation, troubleshooting, and working with warehouse, lakehouse, or enterprise data platforms.
• Strong understanding of dimensional modeling, star schemas, semantic layers, aggregations, KPI development, and analytics-ready data products.
• Experience implementing row-level security (RLS), workspace governance, access controls, certified datasets, lineage tracking, and secure analytics delivery.
• Familiarity with Microsoft Fabric, Azure data services, Snowflake, data warehouses, lakehouses, or comparable cloud-based data platforms.
• Solid understanding of data visualization best practices and user-centric dashboard design.
• Professional Skills
• Strong ability to translate complex data into actionable insights and compelling business stories.
• Demonstrated business acumen with an inquisitive mindset and passion for uncovering meaningful insights.
• Excellent analytical thinking, problem-solving, and attention to detail.
• Strong stakeholder management and communication skills, with the ability to collaborate effectively across business and technical teams.
• Ability to train, coach, and facilitate learning sessions for analytics authors, report developers, and business consumers.
• Continuous learning mindset with a commitment to adopting new technologies, tools, and analytics best practices.