Replenishment Analyst / Supply Chain Data Analyst Resume

SUMMARY

As a supply chain analyst, I forecast supply and demand of raw materials, finished stocks, commodities, and consumer driven products to fuel a measurable & holistic movement of manufactured goods and sales opportunities for both new markets and established industries.

PROFESSIONAL EXPERIENCE

Confidential

Replenishment Analyst / Supply Chain Data Analyst

Responsibilities:

Actively managed $25M inventory availability, optimized stock availability by 22%, rebalanced slow - moving items to increase days on hand averages by 15% and reduced stock of obsolete items towards 92% accuracy thereby adding value to consumers and creating authentic relationships.
Formulated holistic inventory strategies to rebalance stranded capital stocks and resources from outlying regions to areas of higher product usage and material turnover activity identified at centrally located regional warehouses and retail locations.
Forecasted activity spikes and relocated assets due to COVID related activity for in-house technicians, customer facing retail sales associates, and contracted installation partners.
Increased inventory accuracy metrics by 30% while updating ERP data records for relevancy, purging aged or dated information and optimized database records.

Confidential

Data Migration Consultant

Responsibilities:

Contract assignment assisting with ERP conversion project, team member tasked with reviewing data forensics and duplicate data records removal in preparation for Oracle ERP implementation.
Audited existing data systems and deployments and identify errors or areas for improvement, reduced duplicated, fragmented, and obsolete information by %36.
Cleansed or translated data so that it can be effectively moved from AS400 based ERP to Oracle and Demantra ERP.
Documented everything from the strategies used to the exact migration processes put in place—including documenting any fixes or adjustments made.

Confidential

Data Analyst/Inventory Planner

Responsibilities:

Reviewed days on hand inventory turnover history, optimizing inventory availability by 38%.
Forecasted available inventory to account for supply chain lead time by an average of 4 business days and issued purchase orders from a centrally located operations center.
Performed as Inventory manager for 10,000 SKU’s with an average retail value of $30,000,000 and reviewed cost estimates.
Reduced obsolete and slow-moving product by 22% that exceeded established quality standards.
Used Microsoft Power BI, Toad Datapoint and SSRS to store and retrieve information from data warehouses along with various data validation and analyst tools to manipulate data.