Paragon Medical is looking for a Business Data Analyst to enable data-driven decision-making across Integrated Business Planning (IBP), Global Customer Service, and Commercial functions to align operational execution with strategic goals by delivering insights that enhance planning accuracy, customer satisfaction, and commercial performance.
Requirements
- Proficient in Microsoft Office tools, including Excel (advanced functions), Word, and PowerPoint.
- Hands-on experience with data analysis and visualization tools such as Alteryx, Power BI, Tableau, or similar platforms.
- Proficiency in data visualization and reporting tools (e.g., Power BI, Tableau, Alteryx).
- Familiarity with statistical and forecasting techniques to support planning and decision-making.
- Ability to identify data quality issues and implement corrective actions.
- Familiarity with MRP/ERP systems (e.g., Visual, SAP, Oracle) and business process modeling.
- Experience with SIOP, S&OP, or Integrated Business Planning (IBP) processes preferred.
Responsibilities
- Supports end-to-end planning cycles by providing data models, scenario analysis, and performance tracking to align supply, demand, and financial goals.
- Analyzes service metrics, customer feedback, and operational data to improve service levels, reduce response times, and enhance customer experience.
- Delivers insights into sales performance, pricing strategies, and market trends to support revenue growth and strategic initiatives.
- Ensure data integrity for monthly forecast loads.
- Analyze and maintain data models and dashboards to support demand planning, supply planning, and financial alignment.
- Collect, clean, and validate data from multiple sources to ensure accuracy and reliability.
- Design and maintain dashboards and reports using tools like Power BI or Excel.
Other
- Bachelor’s degree required in a relevant field such as Business Analytics, Supply Chain, Operations, Finance, or Data Science.
- 3–5 years of experience in a manufacturing or operations environment preferred.
- Strong ability to translate complex data into clear, actionable insights for cross-functional stakeholders.
- Strong analytical and problem-solving skills.
- Excellent organizational and interpersonal skills.
