Amazon Business Analyst II CMT 

India, Karnataka, Bengaluru 

952488376

Key Performance Areas:
1. Solve ambiguous problems with less well-defined inputs and outputs; drive to the crux of the problem and identify root causes.
2. Identify, develop and execute data analysis to uncover areas of business opportunities4. Deep dive into massive data sets to answer key business questions using SQL, MS Excel and data analytics tools.
5. Diving deep to fully understand the ETL pipelines, report architecture and metric definitions, debugging report issues and unblocking workflows.
6. Present written recommendations and insights to key stakeholders.
7. Engage with leadership and diversified stakeholder groups to understand their analytical needs and recommend Business intelligence solutions.
8. Own the design, development, and maintenance of ongoing performance metrics, reports, analysis, dashboards, etc. to drive key business decisions
9. Standardize data and report consumption across all customer groups
. Recognize and adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation
10. Work with data engineering, Machine learning and software development teams to enable the appropriate capture and storage of key data points

- 3+ years of tax, finance or a related analytical field experience
- 5+ years of Excel (including VBA, pivot tables, array functions, power pivots, etc.) and data visualization tools such as Tableau experience
- 3+ years of business or financial analysis experience
- Experience defining requirements and using data and metrics to draw business insights
- Experience making business recommendations and influencing stakeholders
- Experience with Excel

- 1.Bachelor’s degree in a quantitative field such as Mathematics, Statistics, Engineering, Computer Science, Economics, Finance, or related field
- 2. 5+ years of relevant work experience in business intelligence, analytics, statistics, data engineering, data science or related field
- 3.Advanced proficiency in SQL, ETL management, data modelling, and working with “Big Data”
- 4. Experience with data visualisation using Tableau, Power BI, or similar tools
- 5. Experience with statistical modelling and analysing large data sets
- 6. Strong critical thinking skills and attention to detail
- 7. Both technically deep and business savvy enough to interface with all levels and disciplines within the organisation.
- 8. Experience in developing requirements and formulating business metrics for reporting.
- 9. Experience collaborating with business and data engineering teams.
- 10. Experience using AWS analytical services (e.g., Redshift, EMR)