Job Description:
Are you passionate about leveraging data to combat fraud and ensure secure transactions in a global e-commerce environment? Join Amazon’s Buyer Risk Prevention (BRP) team as a Business Analyst, where your work will directly enhance the trust and safety of millions of transactions worldwide. This high-impact role combines advanced data analysis, business intelligence, and cross-functional collaboration to develop scalable solutions that prevent fraudulent activity and reduce customer friction.
Job Descriptions:-
| Company Name: | Amazon |
| Role Name: | Business Analyst |
| Batches: | 2020-2025 |
| Degree: | Bachelor’s or Master’s degree |
| Salary: | INR 6-12 LPA (Expected) |
| Position type: | 1+ years |
| Location: | Bangalore, India |
Key Responsibilities:
- Analyze vast volumes of transaction data to identify risks, fraud patterns, and customer pain points.
- Design and develop reliable and scalable dashboards using SQL, Excel, Tableau, QuickSight, or other BI tools.
- Collaborate with stakeholders to understand business requirements and map them to relevant data sources or data warehouses.
- Own the creation and delivery of periodic performance metrics, visual reports, and executive dashboards.
- Conduct exploratory data analysis (EDA) to identify trends, outliers, and actionable insights.
- Execute cross-functional, high-impact analytical projects aimed at improving operational performance and fraud detection.
- Utilize statistical techniques such as regression analysis, ANOVA, forecasting, and machine learning to derive insights.
- Partner with engineering, product, and operations teams to align data strategies and improve process efficiency.
- Contribute to the development of scalable analytics solutions and data frameworks for long-term risk prevention.
Basic Qualifications:
- Bachelor’s degree in Business, Statistics, Engineering, Computer Science, Mathematics, or related discipline.
- Minimum 1 year of experience in analytics, business intelligence, finance, or a related field.
- Strong proficiency in SQL with the ability to write complex queries involving multiple datasets.
- Hands-on experience with ETL, data warehousing concepts, and handling large-scale datasets.
- Advanced knowledge of Microsoft Excel including pivot tables, macros, VLOOKUP, INDEX/MATCH, and VBA.
- Demonstrated ability in problem-solving, root cause analysis, and deriving business insights from data.
- Experience with BI tools like Tableau, Power BI, or Amazon QuickSight.
- Strong written, verbal communication, and presentation skills.
Preferred Qualifications:
- Experience with Amazon Redshift and other AWS technologies.
- Proficiency in scripting and automation using Python, R, or Perl.
- Exposure to statistical tools such as SAS, or using Python/R for advanced analytics.
- Background in fraud detection, risk control, or e-commerce analytics is a plus.
- Demonstrated ability to manage unstructured problems, synthesize large datasets, and deliver practical solutions.
- Strong business acumen with the ability to connect data insights to real-world business problems.
- Adaptability in fast-paced, high-volume environments with shifting priorities.
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