Business Analyst, Pay
2 days ago
Working in a dynamic environment, you will be responsible for automating dashboards, monitoring key success metrics, managing WBR reports, identifying problem areas and business challenges and collaboratively shaping solutions with Amazon Pay teams to help optimize on the platform. The successful candidate has a passion for extracting actionable insights from data. The candidate needs to innovate, and quickly become a subject matter expert to assess business performance across different Amazon Pay areas and help in keeping fraud and abuse in check. The 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, and align focus on Amazon's strategic needs.
Key job responsibilities
Key Responsibilities:
· Understanding drivers, impacts, and key influences in the Fraud and Abuse Domain.
· Ability to analyses new fraud and abuse patterns and Partnering with the stakeholders to create key performance indicators
· Translating data into actionable insights for the stakeholders.
· Automate reporting for weekly business metrics, identify areas of opportunity to automate and scale ad-hoc analyses
· You will perform complex data analysis (root cause deep dives, correlations, regressions, simulations, and optimization) to identify different opportunities to reduce process gaps.
·You will build infrastructure and implement maintenance strategy for internal datasets to support swift analysis to answer critical business questions
A day in the life
We at Customer Trust, Amazon Pay are responsible for mitigating Fraud and reducing Abuse for Amazon Pay. In the this highly dynamic environment, the Fraud and Abuse MOs keeps changing and bring new challenges to our day-today work. The candidate will get to work on different problem statements and surface insights to prevent fraud and abuse.
So, each day brings new problem statement which will require deep diving through data analysis, surfacing these insights to Product and ML teams and build scalable solutions.
Basic Qualifications:
- - 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
Preferred Qualifications:
- Knowledge of SQL/Python/R, scripting, MS Excel, table joins, and aggregate analytical functions
- Data Analysis and Deep Dive using GenAI tools
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