Summer Intern - Data Science and Analytics

Ingram Micro•Irvine, CA

1d•Hybrid

About The Position

Accelerate your career. Join the organization that's driving the world's technology and shape the future. Ingram Micro is a leading technology company for the global information technology ecosystem. With the ability to reach nearly 90% of the global population, we play a vital role in the worldwide IT sales channel, bringing products and services from technology manufacturers and cloud providers to business-to-business technology experts. Our market reach, diverse solutions and services portfolio, and digital platform Ingram Micro Xvantage™ set us apart. Learn more at www.ingrammicro.com Come join our team where you’ll make technology happen in surprising ways. Let’s shape tomorrow - it’ll be a fun journey! Ingram Micro is seeking a Supply Chain Strategy and Planning Intern to join us in June for our 10-week PAID Summer Internship Program! We are looking for college and university students who are ready to expand their skills and apply them to meaningful work with a global organization. Location: This position is based in our Irvine, CA office with the opportunity for a hybrid schedule that includes required in-office days . Program details: We have internships available across our various departments and locations throughout the U.S. Unless otherwise noted , all internships are on a hybrid format at the designated office listed in the job description, and are 40 hours per week, Monday through Friday. Our program includes cohort activities such as learning & development trainings , executive speaker sessions, and other networking opportunities . Important dates: March : Applications Open (some postings may close early due to applicant volume) March – April : Recruiters and hiring managers will review applications and reach out to candidates on a rolling basis. Timing of outreach for each internship position may vary , and some may start interviews sooner than others, but candidates may expect to hear by end of April if they are selected for an interview. June 1 st – August 7 th : First cohort start & end date June 1 5 th – August 2 1 st : Second cohort start & end date Your role: Analyze quote , order , and pricing datasets to identify trends, variances, and patterns affecting margin performance. Process and interpret large volumes of transactional data to support pricing accuracy and competitiveness. Identify margin leakage, discount anomalies, and pricing inconsistencies through data analysis. Use data exploration and correlation techniques to uncover opportunities for margin improvement. Support the development of automated analysis and reporting to help the team proactively monitor pricing performance. Collaborate with team members to translate analytical findings into actionable pricing insights and recommendations. What you bring to the role: Actively enrolled in an accredited college/university program, or recently graduated (within the last semester or quarter) from an accredited college/university program. Juniors or seniors are preferred. Interest in pricing, financial analysis, or business operations. Basic analytical skills and comfort working with data (Excel, SQL, or similar tools). Exposure to Python for data analysis (Pandas, NumPy, Matplotlib, etc.). Familiarity with data visualization tools like Power BI or Tableau or similar. Understanding of basic statistical concepts and data ‑ cleaning techniques. Strong communication skills and attention to detail. This posting will remain live for at least 3 days. After that, the posting may be removed at any time. We recommend submitting your application as soon as possible. This is not a complete listing of the job duties. It’s a representation of the things you will be doing, and you may not perform all of these duties.

Requirements

Actively enrolled in an accredited college/university program, or recently graduated (within the last semester or quarter) from an accredited college/university program.
Juniors or seniors are preferred.
Interest in pricing, financial analysis, or business operations.
Basic analytical skills and comfort working with data (Excel, SQL, or similar tools).
Exposure to Python for data analysis (Pandas, NumPy, Matplotlib, etc.).
Familiarity with data visualization tools like Power BI or Tableau or similar.
Understanding of basic statistical concepts and data ‑ cleaning techniques.
Strong communication skills and attention to detail.

Responsibilities

Analyze quote , order , and pricing datasets to identify trends, variances, and patterns affecting margin performance.
Process and interpret large volumes of transactional data to support pricing accuracy and competitiveness.
Identify margin leakage, discount anomalies, and pricing inconsistencies through data analysis.
Use data exploration and correlation techniques to uncover opportunities for margin improvement.
Support the development of automated analysis and reporting to help the team proactively monitor pricing performance.
Collaborate with team members to translate analytical findings into actionable pricing insights and recommendations.

Benefits

U.S.-based employees have access to healthcare benefits, paid time off, parental leave, a 401(k) plan and company match, short-term and long-term disability coverage, basic life insurance, and wellbeing benefits, among others.

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