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WFM Planning Analyst, ROC WFM

Hyderabad, INSalary not listedPosted yesterday

Immigration summary

Visa sponsorship

UnclearInsufficient evidence

We didn't find recent H-1B sponsorship history for this employer.

1220 of 22213 recent openings here state a sponsorship restriction

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Green card sponsorship

UnknownNo recent PERM history

We didn't find recent certified PERM filings for this employer.

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Job description

Amazon Transportation Services (ATS) is seeking a highly skilled and a motivated team player to be part of the dynamic ROC team which supports NA and EU Surface Transportation Operations. The Surface Transportation Operations team addresses disruptions in the Middle Mile network, supporting drivers and carriers faced with unexpected events (poor weather, road closures, unexpected surges in volume, mechanical breakdowns, etc.) to allow them to deliver packages safely and on time.

As a WFM Planning Analyst, you will create efficient, implementable short term staffing plans. You will work closely with business, operations and recruiting teams to ensure that the right actions are taken in short term to meet service levels. You will identify risks and provide mitigation plans. You must be highly analytical, able to work effectively in a matrix organization, and have the ability to break complex problems down into steps that drive product development at Amazon speed. You will bring innovation, passionate voice, and an ability to prioritize and execute on a fast-moving set of strategic priorities. An ideal candidate should have the ability to pull and analyze data with ease, drive process improvements, standardize our processes and eliminate the root cause of defects within the current systems, and a proven track record of reducing the occurrence of problems due to proactive root cause elimination.

Key job responsibilities
Responsibilities include, but are not limited to:
1. Timely and accurate delivery of short term plans for respective ROC operations programs considering factors of forecast and operational productivity inputs for each site.
2. Create short term staffing plans and govern the process by coordinating with involved teams like recruitment, training and operations.
3. Create estimated capacity to deliver against forecast basis on the derived headcount plan.
4. Independently solve and deliver for business problems related to planning with occasional direction. Drive an agile capacity model to meet customer promised SLA standards.
5. Work in partnership with Operations, Change Management, Recruiting, Training, Finance, and Business Teams to drive the strategic direction of Amazon’s ROC capacity planning (long-term) network strategy.
7. Manage the analysis of daily, weekly, and monthly reporting of key performance indicators of Planning.

Basic qualifications

  • 1+ years of tax, finance or a related analytical field experience
  • 2+ years of complex Excel VBA macros writing experience
  • Bachelor's degree or equivalent
  • Experience defining requirements and using data and metrics to draw business insights
  • Experience with SQL or ETL

Preferred qualifications

  • Experience working with Tableau
  • Experience using very large datasets

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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Visa sponsorship evidence

Current posting

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Other openings

1220 of 22213 recent openings at this employer state a sponsorship restriction.

Employer H-1B history

No recent H-1B filings on record

This employer's identity is verified, and no certified H-1B filing was found for it in the fiscal years held.

Green card sponsorship evidence

Employer PERM history

No recent PERM filings on record

This employer's identity is verified, and no certified PERM case was found for it in FY2023, FY2024, FY2025.

Filing history reflects past employer behavior; it isn't a promise for this opening.

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How Openbound evaluates sponsorship

Visa history uses official U.S. Department of Labor H-1B LCA disclosure data and USCIS H-1B petition history. Green card history uses DOL PERM disclosure data. Each is read for the employer as a whole, for roles like this one, and for this location, weighted toward the most recent fiscal years.

An employer is matched to its filing entities by verified legal name and reviewed aliases; a match is never made on a name resemblance alone. Where no verified entity can be matched, the page says so and draws no conclusion from the absence.

What this posting states outranks history in both directions, and an employer's published policy outranks past filings. Filing history reflects past behavior; it is not a promise of sponsorship for this opening, and none of this is legal advice.