Global Research Operations Leader — Surveys & Automation

Amazon Inc.

Greater London

On-site

GBP 90,000 - 130,000

Full time

2 days ago
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Job summary

Amazon Digital UK Limited’s Prime Video Research Services team is seeking a Research Operations Manager to own the technical execution of surveys from programming through deployment, manage panel operations, and help build AI-powered tools that automate reporting.

You will partner with researchers, data science, and cross-functional stakeholders to ensure studies are fielded on time and to spec, combining operational excellence with a passion for research methodology at the intersection of

Qualifications

  • Advanced Excel skills (PivotTables and VLOOKUP) and SQL.
  • Experience working cross-functionally with tech and non-tech teams.
  • Experience defining program requirements using data and metrics.
  • Experience in program or project management.
  • Experience implementing repeatable processes and driving automation or standardization.

Responsibilities

  • Manage a region and drive the content testing agenda across 7 markets.
  • Own end-to-end survey operations: programming, sampling, deployment, quality assurance, and data delivery.
  • Support panel activities: recruitment, maintenance, and engagement across global markets.
  • Monitor fielding progress, troubleshoot issues, and manage vendor relationships to keep studies on track.
  • Maintain and improve operational processes, documentation, and templates.
  • Contribute to AI-powered automation tools that improve research reporting and operational efficiency.

Skills

Excel advanced (Pivot Tables, VLOOKUP)
SQL
Cross-functional collaboration
Program management
Automation / standardization

Job description

Amazon Digital UK Limited’s Prime Video Research Services team is seeking a Research Operations Manager to own the technical execution of surveys from programming through deployment, manage panel operations, and help build AI-powered tools that automate reporting.

You will partner with researchers, data science, and cross-functional stakeholders to ensure studies are fielded on time and to spec, combining operational excellence with a passion for research methodology at the intersection of

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