Reservation Product Ops Analyst — Data-Driven Process Expert

Amazon; Greater London; Hybrid; GBP 40,000 - 60,000; Full time

Job summary

Amazon is seeking an Operations Analyst to own the creation and processing of Reservation Product transaction requests within the Reservation Product Operations Team.

Based in London, you will audit transactions, resolve data discrepancies, and collaborate across teams while maintaining compliance and SLA commitments. Strong Excel skills and analytical mindset are essential to success.

Qualifications

• Bachelor's degree or equivalent in Business, Accounting, or a related field.
• Experience in business analysis with quantitative, analytical and organizational skills.
• Intermediate Excel skills (Pivot Tables, VLookup).
• Experience navigating SOPs and knowledge bases.
• Experience performing data analysis and troubleshooting data integrity issues.
• Experience with a queue of requests and SLAs against SOPs.

Responsibilities

• Process and audit Reservation Product transactions such as cancellations, purchases, migrations, and modifications while adhering to Legal, Security, and Compliance requirements
• Occasionally act as escalation point for Reservation Product requests and issues
• Investigate data discrepancies, quickly establish root causes, and propose appropriate solutions
• Vocally self-critical to allow for self-correction of errors
• Communicate effectively across all related channels to ensure transparency of process
• Occasionally retrieve and evaluate data using Excel and other data management/BI systems

Skills

Analytical skills

SOP & SLA experience

Data analysis

Excel (Pivot Tables)

VLookup

Education

Bachelor's degree or equivalent in Business

Equivalent in Accounting

Tools

Excel

Pivot Tables

VLookup

Job description

Amazon is seeking an Operations Analyst to own the creation and processing of Reservation Product transaction requests within the Reservation Product Operations Team.

Based in London, you will audit transactions, resolve data discrepancies, and collaborate across teams while maintaining compliance and SLA commitments. Strong Excel skills and analytical mindset are essential to success.