TMGF Order to Cash Master Data Business Analyst (Contract)

TMGF Order to Cash Master Data Business Analyst (Contract)

16 Feb 2024
Arizona, Phoenix, 85001 Phoenix USA

TMGF Order to Cash Master Data Business Analyst (Contract)

Job DescriptionAs the Business Analyst for our Semiconductor Wafer Foundry ERP Transformation in the OTC domain, you will play a vital role in ensuring the success of our project. You will be responsible for reviewing, providing inputs, and approving various documents and scripts related to configuration, testing, security, integration, cutover planning, and user acceptance testing. Your analytical insights and attention to detail will contribute to the alignment of our systems with industry best practices.The Customer and Material Master Data processes include data entry and verification, data maintenance and updates, data governance and quality assurance, and data integration into SAP HANA as well as other applications. Observe and correct customer and material master data inconsistencies and recommend improvements to processes and controls. Ensure continuous improvement in master data processes, process simplification and compliance.Deep understanding of how business process is structured in the Semiconductor industry both from the geographical and revenue standpoint.As the Master data Business Analyst for the Semiconductor Wafer Foundry ERP Transformation, your key responsibilities will include:

Configuration Management: Review, provide inputs, and approve Configuration Design Documents to ensure alignment with business needs.

Oversee the development of Configuration Unit Test scripts and validate CUT results.

Review and approve Functional Design Specs to ensure they meet process requirements.

Assist in the development of Functional Unit Test scripts and validate FUT results.

Support the development and validation of Security Unit Test scripts and results.

Testing and Integration: Collaborate on the development of Integration Test scripts to verify system functionality.

Analyze and validate Integration Test results to identify any issues or discrepancies.

Cutover and Data Migration: Contribute to the development and execution of the cutover plan, ensuring a smooth transition to the new ERP system.

Monitor and validate data loads during cutover cycles to ensure data accuracy and completeness.

Documentation and Approval, Provide inputs to Level 3 Process Flows, Solution Design Decisions, and Fit gap analysis. Collaborate on defining security roles and controls related to the Returns process.

Review and approve analytics requirements. Assess and approve change impacts resulting from process modifications. User Acceptance Testing, prepare and execute User Acceptance Test scripts to validate that the ERP system meets business requirements.

Document and report UAT results, including issues and resolutions.

The ideal candidate should exhibit the following behavioral traits:

Analytical, problem-solving, and communication skills.

Ability to work collaboratively with cross-functional teams.

Attention to detail and a commitment to process excellence.

If you are an experienced Customer Business Analyst or a comparable role with a passion for driving transformation in the semiconductor wafer foundry industry, we encourage you to apply for this exciting opportunity.This position is an Intel Contract Employee (ICE) are hired directly by Intel on a fixed term or specified purpose contract and are employees of Intel for the duration of the contract.QualificationsYou must possess the below minimum qualifications to be initially considered for this position. Preferred qualifications are in addition to the minimum requirements and are considered a plus factor in identifying top candidates.This position is not eligible for Intel immigration sponsorship.Minimum Qualifications:

Bachelor's degree in business, Information Technology, or a related field.

5+ years of experience with:

Business Analyst or in a similar role within semiconductor manufacturing and ERP transformations.

Semiconductor wafer foundry operations, MDG Master Data such as CMF, CMIR, and industry best practices.

ERP systems commonly used in semiconductor manufacturing such as SAP ECC or S4 HANA.

Preferred Qualifications:

Advanced degree.

Hands-on experience in SAP MDG, SAP Sales and Distribution SD- Business Partner or a Certification in SAP S4 Hana SD.

Inside this Business GroupAs the world's largest chip manufacturer, Intel strives to make every facet of semiconductor manufacturing state-of-the-art from semiconductor process development and manufacturing, through yield improvement to packaging, final test and optimization, and world class Supply Chain and facilities support. Employees in the Technology Development and Manufacturing Group are part of a worldwide network of design, development, manufacturing, and assembly/test facilities, all focused on utilizing the power of Moore’s Law to bring smart, connected devices to every person on Earth.Other LocationsUS, NM, Albuquerque; US, OR, Hillsboro; US, CA, Folsom; US, CA, Santa ClaraPosting StatementAll qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.BenefitsWe offer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock, bonuses, as well as, benefit programs which include health, retirement, and vacation. Find more information about all of our Amazing Benefits here. (https://jobs.intel.com/en/benefits)Annual Salary Range for jobs which could be performed in US, California: $52,000.00-$200,000.00 (Hourly Role)Salary range dependent on a number of factors including location and experienceWorking ModelThis role will be eligible for our hybrid work model which allows employees to split their time between working on-site at their assigned Intel site and off-site. In certain circumstances the work model may change to accommodate business needs.

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