Amazon Business Analyst RBS 

India, Karnataka 

626733798

Key job responsibilities1. Creating, supporting and continuously improving reports and metrics that support the business operations
2. Converting data into digestible business intelligence and actionable information using tools like Quicksight/Tableau
3. Shaping and delivering key metrics, reports, and indicators by which business can assess its performance
4. Diving deep into large data sets to answer specific business questions using Excel, SQL and other data manipulation languages and present findings and recommendations to senior leadershipTools used include:
1. SQL (Redshift)
2. Excel Advanced VBA
3. Tableau/Quicksight
4. Report scheduling tools (internal)
5. AWS (S3, Lambda, Athena)
A day in the life
Your typical day starts with prioritizing analytical requests and checking project deadlines. You might spend the morning analyzing data using SQL queries and creating visualizations for an upcoming presentation to leadership. You may lead a process improvement initiative with cross-functional partners, identifying opportunities to streamline operations. You'll mentor a junior analyst on advanced Excel techniques. The day might end with documenting your recommendations for a business process optimization project and planning tomorrow's deliverables and communicate insights to stakeholders.

- Bachelor's degree in Business, Statistics, Mathematics, Computer Science, or related quantitative field
- 5+ years of experience in data analysis, business intelligence, or related analytical roles
- Advanced proficiency in SQL/ETL and strong Excel skills including complex formulas, pivot tables and VBA
- Demonstrated experience in analyzing complex datasets, excellent written and verbal communication skills and presenting insights to senior stakeholders
- Experience in process improvement initiatives
- Strong stakeholder management with track record of delivering results
- Technical Skills:
- Advanced SQL querying and data manipulation
- Proficiency with visualization tools (e.g., Tableau, Quick Sight, Power BI)
- Basic understanding of statistical analysis

- Master's degree in related field
- Experience with Python or R programming
- Knowledge of machine learning concepts
- Experience in e-commerce or retail analytics
- Prior experience working in a fast-paced, data-driven environment
- Experience mentoring junior analysts