Analyst- Direct Procurement

Key Skills

Data Analytics, Data Mining, Data science techniques, Microsoft Office suites, Microsoft-Excel, Powerpoint, Python Programming, R Programming, SharePoint

Job Description

What you’ll do:

The Analyst (Sourcing) position is for analysis of spend data at category level drilled down through business, regions and sectors. This position would be responsible for data gathering and mining from different sources (ERPs, Supplier Insight, Spend Monitor etc.), data interpretation for meaningful analysis to identify opportunities related to cost out, cost avoidance, part and supplier rationalization, improving data compliance and data cleansing. This position is also responsible for following up on identified opportunities with category stakeholders and ensure timely execution.

Lead end to end Tail supplier elimination Resourcing/Negotiation Projects to move Spend from Eliminate to Strategic/Growth Suppliers and achieve cost out.

• Develop comprehensive multidimensional spend analysis reports for metrics related to material spend by regions, suppliers, items for different time periods (monthly, quarterly and full year)
• Work with cross functional teams within GSCM COE to create 360-degree view of suppliers for category managers
• Data gathering- Gather data from internal & external sources by working with category managers, Engineering and suppliers
• Responsible for publishing all the analysis (scheduled & ad-hoc) on time with 100% accuracy
• Responsible for acknowledging customer related queries/request to his/her respective activity with consultation of stakeholder and immediate manager.
• Find cost out opportunities based on available data using statistical techniques including but not limited to price variance analysis, linear performance pricing, functional cost analysis, regression analysis etc.
• Drive continuous improvement in processes as per the results from data analysis
• Handling large data sets logically and conversion of the data to meaningful information via conducting data exploration, preprocessing and cleansing activities
• Manage the Resourcing Project execution in coordination with cross functional team to ensure that PPAP requirements are understood and met, including assisting in issue resolution for components identified as “high risk.” Interface with suppliers, product engineering, and the Eaton plant to drive on-time project completion. Work projects through ramp up and successful launch.
• Collaborate with Engineering & Category/Business Managers on part & supplier rationalization opportunities
• Responsible to maintain supply continuity via risk identification and mitigation.
• Develop strong positive ethical relationships with suppliers & adheres to Eaton’s Code of Conduct.
• Work with category managers to establish and develop category strategy for tail spend suppliers/parts.
• Ensure program milestones are met as mutually established by the Global stakeholders and GSC CoE
• Coordinate the exchange of technical information regarding product and product processing with adequate safeguards for confidentiality in compliance with Eaton Data Management policies

Qualifications:

• Bachelors in SCM/Engg (Electrical & Mechanical) with hands on Data Analytics
• Graduate with 2-4 years of experience in service sector preferably SCM domain

Skills:

• Data Analytics experience
• Exposure in any of the commodities mentioned below
  • (Thermoset & Thermo plastic components , Resins , Rubber , Ceramics , Glass)
• Strong knowledge of MS Office tools (Word, Excel and PowerPoint)
• Advance Data Management using Excel (Formulas, Filtering, Charts, Pivot, VLOOKUP, Data Validation, Conditional Formatting, Text/Logical / nested Functions etc.)
• Experience with common data science tool kits, such as R, Python etc.
• Experience with data visualization tools such as Power BI, QlikView, R open libraries etc.
• Ability to communicate clearly & effectively in person, via e-mail and over phone
• Quick response to deadlines
• Excellent Stakeholder management skills, communication and presentation skills
• Reporting and Analytics – Should have good experience on data mining, data analysis, report preparation and presentation to project & leadership team
• Hands on experience of working on various Knowledge Management tools like SharePoint, CMS, etc