Network Planning & Data Analytics Intern
- Pay
- $42 – $50 per hour
- Location
- Tarzana, CA
- Listed
- Today
About the role
We are looking for Master's level and MBA students studying Supply Chain Management, Industrial & Systems Engineering, Operations Research, Data Science or a related field for a 10-week internship role at our site in Tarzana, CA from June 7, 2027 to August 13, 2027.
Position Description
- Analyze manufacturing slot utilization, booking, and release data to find capacity gaps and missed-slot causes.
- Build automated Power BI/Excel dashboards to track capacity against demand for monthly S&OP reviews.
- Develop demand-capacity scenario models and prototype automation or AI tools to reduce manual planning work.
Position Requirements
- Master's level and MBA students studying Supply Chain Management, Industrial & Systems Engineering, Operations Research, Data Science or a related field.
- Strong data analytical literacy using different tools, such as Excel, Python, or automation tools is required.
- Experience cleaning, analyzing, and interpreting large or messy datasets from coursework, projects, or work is required.
- Clear written and verbal communication, with the ability to summarize analysis into short insights for a business audience is required.
- Hands-on experience building dashboards in Power BI or Tableau is preferred.
- Coursework or project experience in supply chain management, operations management, capacity planning, or forecasting is preferred.
- Experience building scenario, sensitivity, or simulation models to support business decisions is preferred.
- Preference for applicants with an interest in biopharma, healthcare operations, or cell and gene therapy.
- Exposure to optimization, statistics, or machine learning methods is beneficial.
- Experience with automation or generative AI tools such as Power Automate or Copilot, or prototyping digital solutions in class projects, case competitions, or past jobs is beneficial.
- Prior internship or work experience in operations, consulting, or analytics is a plus.
- Candidates must have an expected graduation date after August 2027.
- US Work Authorization is required at time of application.
- This role will not be granting CPT support.
- Ability to report onsite to Tarzana, CA site 3 days per week. This role will not provide relocation assistance.
- Compensation: $41.50 - $50 per hour.
- #EarlyTalent
- Date Posted
- 09-Nov-2026
- Closing Date
- 06-Dec-2026
Equal opportunity and legal notices
Our mission is to build an inclusive environment where equal employment opportunities are available to all applicants and employees. In furtherance of that mission, we welcome and consider applications from all qualified candidates, regardless of their protected characteristics. If you have a disability or special need that requires accommodation, please complete the corresponding section in the application form.
From AstraZeneca's careers page, first listed on Rolev.ai on November 10, 2026. Rolev.ai is not the employer.
How Rolev.ai helps with this application
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Common questions
What is the salary for the Network Planning & Data Analytics Intern role at AstraZeneca?
The Network Planning & Data Analytics Intern posting at AstraZeneca states compensation of $42 – $50 per hour. Final pay may depend on location, experience, and interview evaluation on AstraZeneca's official career site.
Where is the Network Planning & Data Analytics Intern job at AstraZeneca located?
This Network Planning & Data Analytics Intern position at AstraZeneca is located in Tarzana, CA. Always check AstraZeneca's application page for specific state eligibility or relocation policies.
How do I apply for the Network Planning & Data Analytics Intern position at AstraZeneca?
This listing links directly to AstraZeneca's Workday application page. You can apply directly on AstraZeneca's site, or use Rolev.ai to check your resume fit, generate a zero-hallucination tailored resume and cover letter for this posting, and autofill the Workday application form in 1 click with the Rolev.ai Chrome extension. You always review the form and press Submit yourself.