Operations Finance Specialist, ATS (Amazon Transp. Services)
Amazon - Sao Paulo, Sao Paulo, BRA
Posted May 25, 2026
Benefits
- Parental leave
- Not verified not verified - source not recorded
- Non-birth-parent leave
- 6 weeks Verified - from the job posting source checked Jun 20, 2026
- Family-building benefits
- Mental health support
- Offered Verified - from the job posting source checked Jun 20, 2026
- Relocation assistance
- Not verified
- Childcare support
- Offered Verified - from the job posting source checked Jun 20, 2026
- Learning budget
- Not verified
- Verification
- Source-linked checked Jun 7, 2026
- Salary
- Not verified
- 401(k) match
- Reported from DOL Form 5500 industry filing (not employer-specific)
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Market context
- U.S. role benchmark (BLS OEWS)
- $106,409 U.S. median for this role
- Projected growth (BLS Employment Projections)
- +7.7% - Faster than average
Matched to SOC 13-2011 - Finance aggregate by role bucket.
Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.
Schedule
- Shift type
- Not verified
- Weekend work
- Not verified
Company
Application
- Cover letter
- Not verified
- Assessment
- Not verified
- Deadline
- Not stated
Where they hire
State eligibility is not yet verified.
About this role
Operations Finance Specialist, ATS (Amazon Transp. Services) Sao Paulo, Sao Paulo, BRA We are looking for a Ops Finance Partner with strong operational and financial acumen to support the Amazon Transportation Services (ATS) organization in Brazil. This role is embedded within ATS operations - the candidate must understand how a transportation network runs (Middle Mile, Sort Centers, Fleet Management) and translate operational performance into financial outcomes. The ideal candidate thinks in bridges: Volume → Hours → Cost → P&L impact, and is equally comfortable on the warehouse floor understanding throughput as they are building a financial forecast. Key job responsibilities Operational Finance & Cost Control - P&L Ownership: Own the ATS Brazil P&L at a granular level - by node, lane, carrier, and cost category - ensuring full traceability from operational decisions to financial impact - Bridge Analysis: Build and maintain Volume Bridge → Hours Bridge → TPH Bridge → Cost Bridge decompositions to explain WoW/MoM variances and attribute root causes (forecast variation vs. operational decisions) - Overstaffing & Understaffing Analysis: Decompose labor cost variances into two components: (1) derived from forecast variation and (2) derived from site operational decisions; quantify financial impact of each - Peak & Valley Management: Model financial impact of volume volatility on fixed vs. variable cost structures; develop scenarios for capacity flex strategies - CPP/CPM Decomposition: Maintain lane-level and node-level cost models (Cost Per Package, Cost Per Mile, Cost Per Sortable Unit) with weekly refresh and root cause attribution for deviations Operational Performance → Financial
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