Analyst - SIOP

What you’ll do:

The SIOP (Sales, Inventory, and Operations Planning) Analyst will be part of the Global SIOP Revamp Program. This role is responsible for preparing standard SIOP templates to assist businesses in deploying a Standard SIOP program. The analyst will engage in key activities such as data extraction, cleansing, analysis, consolidation, processing, and validation throughout the end-to-end SIOP process    
"•    Collect data from various sources, ensuring accuracy and completeness.
•    Identify and correct errors or inconsistencies in the data to ensure high-quality datasets.
•    Analyze data to uncover trends, patterns, and insights that support business decisions.
•    Aggregate and organize data from multiple sources for comprehensive analysis.
•    Process data and migrate it into standardized templates.
•    Collaborate with business stakeholders to validate data accuracy and relevance.
•    Manage and document any necessary data overrides to maintain data integrity.
•    Perform final validation of data and numbers to ensure accuracy before reporting.
•    Prepare & Publish presentation decks and reports that effectively communicate data insights and findings.
•    Support Businesses in deployment of 5 step processes across Eaton plants, divisions.
•    Identify and generate business impacts through cost savings/avoidance, forecast accuracy improvement, fill rates improvements, DOH Reduction."    
 

Qualifications:

Bachelor/ master’s degree in Business/ Engineering, Data Science, Statistics, or a related field.
"•    7 to 10 years of experience in Supply Chain Management
•    Minimum 4-5 years of experience with SIOP processes and methodologies.

 

Skills:

•   Excellent attention to detail and accuracy.

"•    Proven experience in data analysis, data management, or a similar role.
•    Proficiency in data analysis tools and software (e.g., MS Office - Excel, Power point, Power BI, SQL, Tableau)
•    Exposure to ERPs (e.g. SAP, Oracle, MFG-PRO)
•    Strong analytical and problem-solving skills.
•    Advanced knowledge of data visualization tools"
"•    Effective communication and presentation skills.
•    Ability to work collaboratively with cross-functional teams.
• Passionate about work & Continuous Improvement "