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Regular or Temporary:

Regular

Language Fluency:  English (Required)

Work Shift:

1st shift (United States of America)

Please review the following job description:

Develop and execute both short- and long-term roadmaps for analytical tools to meet the increasing demand for reporting and insights. Collaborate with business leaders, technology partners, and data teams to establish reliable data sourcing and automation, build relational data models and queries, and deliver analytics that support strategic and operational decision-making. Identify opportunities to enhance or introduce business solutions that strengthen spend management and advance analytics capabilities within Enterprise Corporate Services (ECS).

ESSENTIAL DUTIES AND RESPONSIBILITIES
Following is a summary of the essential functions for this job.  Other duties may be performed, both major and minor, which are not mentioned below.  Specific activities may change from time to time. 

1. Foster an engaged, strategic collaboration and tactical support service model to enable information management capabilities supporting ECS business reporting and initiatives..
2. Perform end-to-end business analyst duties including requirements gathering, process mapping, solution design, and stakeholder alignment.
3. Evaluate, prioritize, and deliver solutions involving business information gathering and data transformation.
4. Define and execute test cases across SIT, QA, and UAT phases to ensure solution quality and accuracy.
5. Create automation opportunities and drive strategic improvements to spend cube, business reporting, and analytics routines to improve efficiency.
6. Partner with the business to deliver in-depth analytics and performance insights across Category, Supplier, Spend, Savings, and Sourcing Initiatives.
7. Develop scalable dashboards, reports, and visualization solutions to support procurement decision-making.
8. Establish, administer, and maintain the ECS data infrastructure framework to source, enrich, and transform data solutions.
9. Develop and maintain reporting and analytics solutions using tools such as Power BI, Tableau, SAS, Snowflake, SQL, Alteryx, and Power Apps.

10. Document relational data models and ensure proper integration of data sources

11. Ensure data integrity and consistency across procurement analytics platforms and reporting outputs.

12. Maintain data maps, transformation logic, and standard operating procedures.

13. Design business data rules that are specific verifiable quantities such as Completeness, Uniqueness, Validity, Logic/Reasonableness, Accuracy, Integrity, Timeliness and Coverage.