Data Analyst, Amazon Pay Operations

2 weeks ago


Bengaluru, Karnataka, India myGwork Full time

About the Company

Amazon Payments is a leading payment processing platform that handles billions of secure online transactions worldwide. As a trusted company on the Internet, we are committed to delivering an exceptional customer experience.

About the Role

We are seeking a highly skilled Data Analyst to join our Customer Trust team in Amazon Pay. This role will involve automating dashboards, monitoring key success metrics, managing WBR reports, and identifying problem areas and business challenges to optimize the platform.

The successful candidate will have a passion for extracting actionable insights from data, innovating, and quickly becoming a subject matter expert to assess business performance across different Amazon Pay areas. The ideal candidate should have significant experience working with automation, analyzing data, identifying trends, extracting conclusions, and presenting findings in a simple and clear manner using data across various data marts.

Key Responsibilities

  • Understanding drivers, impacts, and key influences in the Payments domain.
  • Partnering with the business team to create key performance indicators and new methodologies for measurement.
  • Translating data into actionable insights for stakeholders.
  • Automating reporting for weekly business metrics and identifying areas of opportunity to automate and scale ad-hoc analyses.
  • Performing complex data analysis (root cause deep dives, correlations, regressions, simulations, and optimization) to identify different opportunities to reduce process gaps.
  • BUILDING infrastructure and implementing maintenance strategies for internal datasets to support swift analysis to answer critical business questions.

Requirements

  • 1+ years of data analytics or automation experience.
  • 1+ years of capacity planning, operations planning, business analysis, or similar experience.
  • Bachelor's degree.
  • Knowledge of data pipelining and extraction using SQL.
  • Knowledge of SQL and Excel at a moderate or advanced level.
  • Experience with data mining tools like SQL, SAS, SPSS, or similar.

Estimated Salary: $120,000 - $180,000 per year



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