Supply Chain Planning Analyst optimizing operational efficiency with data-driven solutions
PROFESSIONAL SUMMARY
Results-driven Supply Chain Planning Analyst with 7+ years of experience optimizing inventory, streamlining processes, and developing powerful forecasting tools. Skilled in Power BI, Alteryx, SQL, and Excel automation to drive efficiency and enable data-driven decision-making. Proven track record in reducing operational costs, supporting ERP migrations, and leading cross-functional planning initiatives. Collaborative, accountable, and focused on continuous improvement.
WORK EXPERIENCE
WireCo – A Global Steel Rope Manufacturing Company
Supply Chain Planning Analyst May 2021 – Present
Designed and manage global forecasting tools using Alteryx, SQL, and Power Query to drive SIOP planning, inventory modeling, production scheduling, and capacity alignment, enhancing decision-making accuracy.
Collaborates cross-functionally with finance and operations teams to optimize inventory levels and improve on-time delivery performance, resulting in better operational efficiency.
Created and implemented a container tracking system, significantly improving product flow visibility from international suppliers to the U.S., reducing lead times and improving logistics coordination.
Supported a successful ERP migration from Domo to QLIK BI by modeling data, validating tools, and restructuring reporting processes, ensuring a smooth transition and enhanced reporting capabilities.
Enhanced department onboarding processes by developing comprehensive SOP documentation and quick-reference guides, improving training efficiency and team productivity.
Led a $4.7M reduction in U.S. crane rope inventory as part of a $13M national inventory optimization initiative, boosting cash flow and freeing up working capital for reinvestment.
Manages interactive dashboards used by U.S. Planning Operations to ensure optimal inventory ordering, improving accuracy and efficiency in supply chain operations.
Oversee customer forecasting for US operations, facilitating streamlined integration of customer demand data into overall planning processes to ensure accurate demand forecasting and alignment with production schedules.
Developed comprehensive global KPI dashboards with 12-month visibility into inventory, production, and demand, enabling data-driven strategic decisions and standardizing reporting across the Steel Division.
Panasonic Connected Solutions – Panasonic North America Subsidiary
Inventory Control Manager Nov 2020 - May 2021
Analyzed high-volume data sets to direct logistics for mobile asset repairs in factory settings.
Led a team of inventory and production specialists to enforce process consistency and efficiency.
Rebuilt and streamlined the inventory reporting processes across the company to achieve optimal efficiency using data queries and pivot tables.
Ensured just-in-time inventory by working with Panasonic's SCM team so high-demand parts remained in stock.
Assisted with statement-of-work negotiations with Panasonic/PIVS by pulling a large amount of historical data through Power Query in Excel and developing dashboards to display the results to the executive team.
Implemented Macro/VBA solutions to automate daily company reports on backorder and high-usage parts
Inventory Specialist April 2016 - Nov 2020
Led receiving operations and supported the transition to a 33K sq. ft. facility, improving workflow efficiency.
Analyzed inventory trends and collaborated with leadership to adjust stocking strategies.
Organized storage systems to improve material movement and minimize labor.
Shipping and Receiving Associate June 2011 - April 2016
Prepared and processed shipping documents, including work and shipping orders, route materials, and bills of lading.
Compared shipment contents with paperwork to support inventory accuracy and record management.
EDUCATION
Bachelor of Business Administration, with a Minor in Healthcare Information Management - The University of Kansas - Class of 2019
IBM Data Science Certificate, Coursera - Issued – 2020
In this Professional Certificate learners developed and honed hands-on skills in Data Science and Machine Learning.
Learners started with an orientation of Data Science and its Methodology, became familiar and used a variety of data science tools, learned Python and SQL, performed Data Visualization and Analysis, and created Machine Learning models.
In the process they completed several labs and assignments on the cloud including a Capstone Project at the end to apply and demonstrate their knowledge and skills.
Alteryx Designer Core Certification - Issued - 2022