Amazon
Sr. Capacity Planning Analyst, TAP

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About the Role
Amazon strives to be earth's best employer and set the industry standard for customer innovation and experience. We set ambitious goals and are looking for people who can develop innovative approaches to reach and exceed those goals. We are responsible for defining the solutions that will allow our business to improve performance across cost, safety, people engagement.
Join Amazon's TAP Capacity Management team and own the planning that keeps middle-mile transportation running efficiently. If you love turning data into decisions and being the person Operations trusts when capacity gets tight, this role is for you.
- Sit at the intersection of planning and Operations, translating data into accurate, executable capacity plans
- Drive KPIs that matter: driver utilization and loaded drive time
- Lead the weekly planning cycle end to end and see your work hit the ground within days
- Build dashboards and tools with BI partners to make planning faster and self-service
- Grow in a team that sets ambitious goals and rewards people who invent better ways to reach them
Key Job Responsibilities
- Monitor planning metrics, compare actuals against plans (Daily/Weekly/Monthly), identify gaps, conduct in-depth analysis, and collaborate with stakeholders to address them.
- Address daily capacity challenges and serve as the primary point of contact for planning with site and operations teams.
- Take ownership of end-to-end long-term improvement initiatives, focusing on key performance indicators (KPIs) such as planned driver utilization% and LH loaded drive time.
- Lead weekly capacity planning cycles, incorporate stakeholders' requests, and ensure efficient planning.
- Educate stakeholders on capacity planning topics and promote a self-service approach.
- Collaborate with Business Intelligence partners to request and develop dashboards and tools for S&OP execution.
Reasons to use Rodeo
I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
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Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
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Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
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No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
Basic Qualifications
- Bachelor's degree in a relevant field or equivalent work experience
- Experience as an operations analyst, data analyst or in a similar role
- Experience working with operations and business teams to communicate problem impacts and understand business requirements
- Experience in written and verbal communication with the ability to present complex technical information in a clear and concise manner to executives and non-technical leaders
- Experience in Excel (including VBA, pivot tables, array functions, power pivots, etc.) and data visualization tools such as Tableau
Preferred Qualifications
- Experience working in supply chain, transportation, project management or management consulting
- Experience with reporting and Data Visualization tools such as Quick Sight / Tableau / Power BI or other BI packages
- Experience with planning, performance metrics, and process improvement
- Experience working with stakeholders, or experience working with large-scale data mining and reporting tools (examples: SQL, MS Access, Essbase, Cognos) and other financial systems (examples: Oracle, SAP, Lawson, JD Edwards)
- Knowledge of statistics or other analytical techniques
- Experience leading projects across multiple stakeholders


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About Amazon
Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (https://www.amazon.jobs/en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
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