SUMMARY:
The Business Intelligence Data Analyst designs and develops software-based data modeling and visualizations with Business Intelligence (BI) tools. This role utilizes various analytical and programming skills to develop BI solutions and supports leadership by designing proactive, value-added data models to provide insight into data driven decision-making
JOB DUTIES:
•Builds should-cost models for key categories based on commodity indices, labor, transportation, and overheads
•Monitors raw material and input costs (e.g., steel, rubber, oil) and supports supplier price increase challenge logic
•Manages the Procurement Gains Tracker, ensuring accurate documentation and alignment of savings, cost avoidance, and rebate realization by wave and by category
•Supports Category Managers in building strategic fact packs including market sizing, supplier concentration, pricing benchmarks, and share of wallet
•Conducts variance analysis to identify margin leakage, supplier underperformance, or pricing gaps
•Builds executive-level dashboards and bridges for category reviews and transformation updates
• Responsible for end-to-end design and maintenance of BI tool data sets, data models, reports, dashboards and visualizations in support of all department functions,
• Designs, develops and optimizes data models for the business unit and other departments.
• Routinely meets with various stakeholders to understand their data needs. Develops solutions and processes to fulfill requirements. This typically includes BI dashboards, Python programs, or Excel/VBA reports.
• Enhances business insights and decision making with robust, intuitive data visualizations.
• Leverages transactional data from enterprise resource planning (ERP) applications to extract, transform and model into reporting and analytics solutions.
• Coordinates incremental creation and structure of QVD files from disparate data sources.
• Identifies the most impactful layout and presentation of key performance metrics in easy to use self-service dashboards.
• Partners with the IT team to develop security standards for BI applications and usage of QVD files containing sensitive financial information.
• Partners and develops relationships with cross-functional leaders to improve processes and documentation, and recommends changes that lead to the adoption of world class processes.
• Proactively seeks out opportunities to increase business knowledge and create visibility within the organization.
• Generates new ideas to streamline processes and collaborates wi