Procurement Data Analyst (Temporal)

Schneider Electric Gruppe
Monterrey
MXN 200,000 - 400,000
Descripción del empleo

Job Description - Procurement Data Analyst (Temporal) (009BE9)

Job Description

Procurement Data Analyst (Temporal) - 009BE9

What will you do:

· Utilize statistical techniques, explanatory and predictive modeling, and data mining to perform comprehensive business analyses.

· Develop ad hoc analyses and reports that drive informed decision-making.

· Collaborate with key stakeholders to refine KPIs and success metrics, ensuring effective ongoing program evaluation.

· Analyze program adoption metrics, invoice processing trends, and supplier participation data to identify areas for improvement.

· Lead the development and maintenance of program dashboards and reports in Tableau to track performance, ensuring high data quality, integrity, and compliance.

· Provide timely ad hoc analyses to program Stream Leads to support data-driven decision-making and enhance overall program effectiveness.

· Assist in supplier onboarding analytics to ensure a seamless integration with the COUPA invoicing module.

· Leverage data insights to support change management initiatives, encouraging adoption and streamlining workflows.

Qualifications

What will help you to be successful in this role:

· Bachelor’s degree in Statistics, Data Science, Computer Science, Business Analytics, Finance, or a related field.

· Advanced proficiency in written and oral English.

· Strong experience with Python and SQL for data analysis required.

· Advanced Microsoft Excel skills, including pivot tables, macros, and Power Query required.

· Familiarity with data visualization tools (e.g., Tableau, Power BI) is a plus.

· Excellent ability to present data-driven insights to non-technical stakeholders.

· Demonstrated stakeholder management and cross-functional engagement experience.

· Strong analytical mindset with problem-solving skills, self-driven / motivated individual, with a positive attitude and a proactive approach.

· Experience in data analysis within procurement, finance, or invoicing systems is a plus.

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