Long Range Capacity Planning Analyst

Job Details:

Job Description: 

The Foundry Central LRP and Strategic Capacity Planning team is at the forefront of Foundry's decision-making and plays a crucial part in shaping Intel's long-term strategies.

The high-visibility team frequently engages with senior leadership, including Foundry's CFO, operations executives, and subject matter experts across Intel. This collaboration enables the team to drive and generate Foundry's five-year PNL forecast and NPV valuation, track progress to BOD commitments, and drive initiatives that will improve Foundry's long-term profitability.

We Offer:
• The Opportunity to be part of a team set on improving Intel's long-term profitability.
• Work in a fast paced matrixed environment with subject matter experts across Foundry to deliver a long term financial forecast to Foundry ELT.
• Partner with Sr. Finance Leadership to drive business value.
• Work with a team of specialists proficient in a broad spectrum of quick-turn analysis.
• Gain a breadth of acumen across Foundry and Intel's businesses and strategic initiatives.
• Build a broad professional network with teams across Intel
Key responsibilities for the role include:
• Support execution of the LRP and financial planning processes by maintaining high-quality data inputs, supporting templates, and helping ensure core models are accurate, reliable, and decision-ready.
• Perform data validations and reconciliations that strengthen the quality of planning assumptions, improve confidence in outputs, and support timely reviews during key planning cycles.
• Build and enhance control checks that improve data integrity, surface model issues early, and increase the efficiency and consistency of LRP and NPV workflows.
• Analyze disconnects across source data, assumptions, and model outputs, and help drive issue resolution by clearly communicating findings and recommended follow-up actions.
• Develop reports, trackers, and performance metrics that help the team monitor milestones, improve visibility to key business drivers, and support Foundry profitability objectives.
• Collaborate with Finance, Operations, and cross-functional stakeholders to collect inputs, close gaps, and help deliver accurate, aligned outputs across planning milestones.
• Contribute to automation and continuous improvement initiatives by helping standardize repeatable work, streamline reporting, and build or apply tools such as Power BI and Power Query to generate actionable insights.

The successful candidate must demonstrate the following:
• Strong analytical rigor and attention to detail, with comfort working in spreadsheets or similar data tools and an interest in developing capability in financial models, Power BI, Power Query, and planning processes.
• Effective written and verbal communication skills, including the ability to ask thoughtful questions, synthesize findings, and provide clear updates to teammates and business partners.
• A proactive problem-solving mindset and intellectual curiosity to investigate issues, understand root causes, and help improve the quality and reliability of business outputs.
• Strong organizational skills, sound judgment in managing recurring deliverables, and the ability to work effectively in a fast-paced environment with competing priorities.
• A collaborative, team-oriented approach and the ability to build effective working relationships across Finance, Operations, and other cross-functional teams.

Qualifications:

Minimum Qualifications
- Bachelor's degree in Finance, Accounting, Economics, Business Administration, or a related field with 0-1 years of hands-on experience in finance, accounting, or related areas, including demonstrated skills gained through internships, academic projects, coursework, or hands-on training.
- Strong analytical skills with experience in financial analysis, budgeting, forecasting, and accounting principles.
- Proficiency in Microsoft Excel and familiarity with financial tools and data analysis methods.
- Basic understanding of financial reporting, variance analysis, and risk assessment.

• Experience with data validation, reporting, process support, or planning tools is valued, and exposure to Power BI, Power Query, or automation solutions is a strong plus.

Preferred Qualifications
- Experience gained through internships or co-op roles in Finance, Accounting, Operations, or related fields.
- Exposure to forecasting, reporting, month-end close, or financial planning processes.
- Ability to work collaboratively in cross-functional teams and thrive in a fast-paced environment.
- Interest or experience in capital projects, supply chain, or manufacturing finance.
- Strong problem-solving mindset with an eagerness to learn and adapt to challenges.
Your expertise in financial analysis and passion for collaboration will drive meaningful impact in a dynamic environment. If you're ready to grow your career and contribute to Intel's innovation, we'd love to hear from you.

          

Job Type:College Grad

Shift:Shift 1 (United States of America)

Primary Location: US, Arizona, Phoenix

Additional Locations:US, California, Folsom, US, California, Santa Clara, US, Oregon, Hillsboro

Posting Statement:All 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.Position of TrustN/ABenefits

We offer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock bonuses, and benefit programs which include health, retirement, and vacation. Find out more about the benefits of working at Intel.

Annual Salary Range for jobs which could be performed in the US: $73,820.00-114,840.00 USD

The range displayed on this job posting reflects the minimum and maximum target compensation for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific compensation range for your preferred location during the hiring process.

Work Model for this Role

This 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. * Job posting details (such as work model, location or time type) are subject to change.

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ADDITIONAL INFORMATION: Intel is committed to Responsible Business Alliance (RBA) compliance and ethical hiring practices. We do not charge any fees during our hiring process. Candidates should never be required to pay recruitment fees, medical examination fees, or any other charges as a condition of employment. If you are asked to pay any fees during our hiring process, please report this immediately to your recruiter.