Business Data Analyst II

• Design, develop, and maintain scalable enterprise data solutions utilizing Microsoft Fabric, lakehouse architecture, Delta tables, data pipelines, and curated data layers
• Support the evolution of enterprise analytics capabilities including scalable semantic models, AI readiness, automation, and advanced analytics initiatives
• Develop and maintain standardized, reusable, and analytics-ready data models to support enterprise reporting and operational analytics
• Create curated fact and dimension structures with consistent business logic and clear grain-level definition
• Support enterprise data quality initiatives through implementation of validation rules, monitoring processes, and integrity checks within data pipelines and transformation layers
• Maintain trusted and reliable analytical datasets by addressing upstream issues
• Develop business intelligence and reporting solutions utilizing Power BI and enterprise analytics platforms
• Deliver intuitive and scalable solutions that support operational insight and decision-making
• Collaborate with business stakeholders across manufacturing, supply chain, engineering, quality, and finance to identify opportunities for process improvement, automation, and analytics enablement
• Remain current on modern analytics technologies, cloud platforms, and enterprise reporting capabilities
• Collaborate closely with technical and business teams to deliver high-quality solutions, support standardization efforts, and promote knowledge sharing across the organization

• Bachelor’s degree in Computer Science, Information Systems, Engineering, Analytics, or related field
• or equivalent combination of education and experience
• 5–8 years of experience in data engineering, analytics engineering, business intelligence, enterprise reporting, or cloud-based data platform development
• Experience designing, developing, and supporting enterprise analytics, reporting, and data transformation solutions within modern cloud or hybrid data environments
• Demonstrated experience with relational databases, SQL development, data modeling, ETL/ELT processes, and enterprise data warehousing concepts
• Experience supporting cloud-based analytics and reporting platforms utilizing technologies such as Microsoft Fabric, Azure, Power BI, or similar enterprise analytics solutions
• Demonstrated ability to collaborate with business stakeholders to translate operational requirements into scalable analytics and reporting solutions
• Strong analytical, troubleshooting, organizational, and communication skills with the ability to work effectively across technical and business teams
• Availability for occasional morning or evening meetings to support global operations across the UK, India, and China
• Ability to travel domestically and internationally approximately 5–10% as required to support global operations and project initiatives
• Authorized to work in the United States

Experience supporting ERP-integrated analytics and enterprise data environments within manufacturing or operational business environments preferred