Analytics Engineer

About the Role

Key Responsibilities

• Design, develop, and maintain sophisticated Power BI dashboards, reports, and data models that drive business insights
• Build complex DAX calculations, advanced visualizations, and interactive reports using Power BI Desktop and Service
• Develop and optimize Power BI datasets, implement row-level security, and manage workspace governance
• Create and maintain Power BI Premium features including paginated reports, dataflows, and deployment pipelines
• Implement Power BI best practices for performance optimization, data refresh schedules, and user experience design
• Leverage Microsoft Fabric capabilities to enhance Power BI solutions with real-time data streams and advanced analytics
• Build and maintain data connections between Power BI and various data sources within the Fabric ecosystem
• Collaborate with others to establish scalable data architecture supporting enterprise-wide analytics needs
• Implement data governance frameworks specific to Power BI and ensure data quality standards across all reports
• Perform complex data analysis to identify trends, patterns, and opportunities for business improvement
• Build predictive models and statistical analyses to support forecasting and strategic planning initiatives
• Conduct ad-hoc analysis to support critical business decisions and executive reporting
• Develop automated reporting solutions that provide real-time visibility into key performance indicators
• Conduct Power BI training sessions for end users across different skill levels and business functions
• Develop and deliver Microsoft Fabric workshops and educational materials for business users
• Create comprehensive documentation, user guides, and best practice resources for Power BI and Fabric usage
• Provide ongoing support and guidance to business users on dashboard navigation, interpretation, and self-service analytics
• Establish center of excellence practices for Power BI adoption and user enablement across the organization

Requirements

• Power BI Expertise: 6+ years of hands-on experience developing Power BI reports, dashboards, and advanced data models
• Microsoft Fabric: Strong experience with Fabric components and their integration with Power BI for enhanced analytics capabilities
• DAX Mastery: Advanced proficiency in DAX functions, calculated columns, measures, and performance optimization techniques
• Data Modeling: Expertise in dimensional modeling, star/snowflake schemas, and complex relationship management in Power BI
• SQL & Data Integration: Advanced SQL skills and experience with various data connectors and gateway configurations
• Strong analytical thinking with ability to translate business requirements into technical solutions
• Experience working with stakeholders at all levels, from analysts to C-suite executives
• Understanding of financial metrics, KPIs, and business performance measurement
• Proven track record of delivering projects that drive measurable business impact
• Self-Starter: Demonstrates initiative in identifying opportunities and proactively addressing challenges without constant supervision
• Accountability: Takes ownership of deliverables and maintains high standards for quality and accuracy in all work
• Problem-Solving: Approaches complex analytical challenges with creativity and persistence
• Communication: Excellent verbal and written communication skills with ability to explain technical concepts to non-technical audiences

Nice to Have

• Certifications: Microsoft Certified Power BI Data Analyst Associate (preferred but not mandatory)
• Certifications: Microsoft Certified Fabric Analytics Engineer Associate (preferred but not mandatory)
• Cognos to Power BI Migration: Proven experience migrating reports, dashboards, and data models from IBM Cognos
• Legacy BI Modernization: Experience transitioning from traditional BI tools to modern cloud-based Power BI solutions
• Report Conversion: Expertise in translating Cognos Framework Manager models and reports into Power BI models
• User Transition Management: Experience managing user adoption during platform migrations
• Artificial Intelligence: Understanding of AI and machine learning technologies in business analytics
• AI Integration: Experience with AI-powered analytics tools, natural language processing, or automated report generation
• Microsoft AI Services: Familiarity with Azure AI services, Cognitive Services, or Power Platform AI Builder
• Generative AI: Knowledge of Large Language Models and generative AI in data analysis and reporting workflows
• Manufacturing Industry: Experience with finance, sales, supply chain, and commercial excellence processes

Qualifications

• Bachelor's degree in Data Science, Analytics, Computer Science, Statistics, or related quantitative field
• 6+ years of experience in business intelligence with strong focus on Power BI development and administration
• Demonstrated experience delivering end-to-end Power BI solutions in enterprise environments
• Experience conducting user training and enablement programs for business intelligence tools

Benefits & Perks

• Competitive salary and comprehensive benefits package
• Opportunities for professional development and certification sponsorship
• Flexible work arrangements and modern technology stack
• Collaborative environment with exposure to cutting-edge analytics technologies
• Career growth opportunities within a rapidly expanding data organization