·
2-4 years
₹ 4.5 - 20L/yr (AmbitionBox estimate)
Hyderabad / Secunderabad
1 vacancy
Business Analyst, Payment Risk Analytics
Amazon
posted 15hr ago
Key skills for the job
As a Business Analyst in Payment Risk Analytics, you will be responsible for analyzing terabytes of data to identify specific instances of risk, broader risk trends and points of customer friction, developing scalable solutions for prevention. You will work with team members to ensure that the volume being flagged for manual review aligns with available capacity and Service Level Agreements (SLAs) are met. You will be responsible for building a robust set of operational and business metrics and will utilize metrics to determine improvement opportunities.
Responsibilities:
• Understand the various operations across Payment Risk
• Design and develop highly available dashboards and metrics using SQL and Excel/Tableau
• Understand the requirements of stakeholders and map them with the data sources/data warehouse
• Own the delivery and backup of periodic metrics, dashboards to the leadership team
• Draw inferences and conclusions, and create dashboards and visualizations of processed data, identify trends, anomalies
• Execute high priority (i.e. cross functional, high impact) projects to improve operations performance with the help of Operations Analytics managers
• Perform business analysis and data queries using appropriate tools
• Work closely with internal stakeholders such as business teams, engineering teams, and partner teams and align them with respect to your focus area
• Execute analytical projects and understanding of analytical methods (like ANOVA, Distribution theory, regression, forecasting, Machine Learning Techniques, etc.)
Key job responsibilities
• Understand the various operations across Payment Risk
BASIC QUALIFICATIONS
- 1+ years of tax, finance or a related analytical field experience
- 2+ years of complex Excel VBA macros writing experience
- Bachelor's degree or equivalent
- Experience defining requirements and using data and metrics to draw business insights
- Experience with SQL or ETL
- Experience with reporting and Data Visualization tools such as Quick Sight / Tableau / Power BI or other BI packages
PREFERRED QUALIFICATIONS
- Experience using very large datasets
Employment Type: Full Time, Permanent
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