POSITION SUMMARY
Husco International provides individuals the opportunity to pursue a career within a fast-paced, industry-leading, and entrepreneurial organization. The Business Data Analyst II role requires a disciplined, driven, and problem-solving individual who can connect technical capabilities to scalable global business solutions.
This role is responsible for designing, architecting, implementing, and supporting scalable enterprise data and analytics solutions utilizing both Husco and external data sources. The position supports modern cloud-based analytics architecture, enterprise data modeling, curated reporting layers, and scalable data transformation frameworks that enable timely, reliable, and data-driven business decisions.
Successful individuals will develop a strong understanding of Husco business operations, manufacturing processes, and enterprise systems to translate business requirements into scalable analytical solutions. The role requires an individual committed to continuous improvement, data quality, and enabling trusted self-service analytics across the organization.
Successful individuals will be self-motivated, customer-focused, organized, detail-oriented, and capable of balancing technical depth with strong business communication.
PERFORMANCE OBJECTIVES
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Data Engineering & Architecture: 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.
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Data Transformation & Modeling: 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.
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Data Quality & Governance: 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.
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Business Intelligence & Analytics: 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.
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Enterprise Business Partnership: Collaborate with business stakeholders across manufacturing, supply chain, engineering, quality, and finance to identify opportunities for process improvement, autom