Supply Chain Digital Solutions Analyst; Business Systems Analyst, Sr

Supply Chain Digital Solutions Analyst (Business Systems Analyst, Sr.)

The Supply Chain Digital Solutions Analyst (Business Systems Analyst, Sr.) provides coordination, analysis, support, and maintenance to ensure the effective functioning of Supply Chain business systems, analytics, reporting, digital work spaces, automation, and related technology solutions. This role functions as an embedded business developer within Supply Chain by combining business process knowledge with technical implementation to support practical, sustainable solutions that advance business priorities.

Designs, builds, maintains, documents, tests, and supports analytics solutions, workflow tools, automations, and approved AI-enabled solutions that improve efficiency, consistency, and user experience. Serves as a Supply Chain analytical and systems resource for multiple business areas, including reporting, dashboards, data quality, data governance, system security, internal web pages, SharePoint resources, automation, and AI-enabled tools. Partners with Supply Chain teams, Information Technology, Enterprise AI, Digital Transformation, vendors, and business partners to identify, plan, and implement technology-enabled solutions.

Supports modernization and standardization of the Supply Chain digital workspace through improved user experiences, content governance, self-service resources, onboarding materials, and digital tool adoption. Supports a scalable and governed framework for AI and automation by assisting with intake, evaluation, documentation, testing, adoption, and ongoing support of approved opportunities. Develops reports, dashboards, analytics products, statistical summaries, training materials, and user resources while maintaining standardized reporting protocols, metric definitions, data governance practices, and documentation to support data integrity and consistency.

Educates Supply Chain users on approved digital tools, automation capabilities, data-driven practices, reporting resources, and responsible AI use.

Minimum Requirements:

BS/BA equivalency or an equivalent combination of four years relevant work experience and relevant college coursework in business, information technology or a related area. An additional five (5) years of progressively responsible experience where strong understanding of database design, structure, functions and processes and experience with database tools is obtained. Demonstrated knowledge of business processes and operational knowledge including functions, procedures, processes, and computer systems.

Ability to identify process improvement opportunities and tie functional needs to technology solutions. Demonstrated project/team experience and ability to prioritize work. Strong analytical ability to review data, see relationships and patterns as well as communication, interpersonal and organizational skills. Experience in managing projects and identifying and resolving issues. Requires proficient knowledge of emerging practices and technologies used within the area.

Preferred Special Skills, Knowledge or

Qualifications:

Significant hands-on experience and demonstrated expertise designing, building, maintaining, and enhancing Power BI dashboards, reports, data models, measures, visuals, and analytics products that support operational visibility, performance monitoring, and business decision-making. Strong proficiency with Microsoft
365, Copilot, Copilot agents, Power Automate, SQL, Azure Data Warehouse, and other database, automation, or reporting platforms. Extensive experience working with complex data sets, database structures, data models, queries, reporting logic, data validation, and data quality analysis to support accurate, consistent, and actionable business reporting. Experience serving as a liaison between business teams and Information Technology to translate business needs into system, reporting, automation, and data requirements.

Experience supporting data governance practices, including data definitions, data quality standards, metric consistency, reporting protocols, documentation, validation practices, and consistent use of data across business processes. Experience identifying and implementing opportunities to automate manual processes, improving reporting efficiency, streamline workflows, and support adoption of approved digital tools. Experience developing user-facing resources, training materials, job aids, demonstrations, or office hour content to help business users adopt digital tools, automation, reporting resources, and data-driven practices effectively.