Business Analyst, Stranded Inventory Reduction Program
Posted 2 days ago by Amazon
Permanent
Not Specified
Other
London, United Kingdom
Job Description
Business Analyst, Stranded Inventory Reduction Program 
At Amazon, we strive to be the most innovative and customer-centric company on the planet. Come work with us to develop innovative products, tools, and research-driven solutions in a fast-paced environment by collaborating with smart and passionate leaders, program managers, and software developers. This role is based out of our Bangalore corporate office and is for a passionate, dynamic, analytical, innovative, hands-on, and customer-centric Business Analyst.
Key job responsibilities:
- Design, develop and maintain scalable, automated, user-friendly systems, reports, dashboards, etc. that will support our analytical and business needs.
- In-depth research of drivers of the Localization business.
- Analyze key metrics to uncover trends and root causes of issues.
- Suggest and build new metrics and analysis that enable better perspective on business.
- Capture the right metrics to influence stakeholders and measure success.
- Develop domain expertise and apply to operational problems to find solutions.
- Work across teams with different stakeholders to prioritize and deliver data and reporting.
- Recognize and adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation.
- Experience defining requirements and using data and metrics to draw business insights.
- 3+ years of tax, finance, or a related analytical field experience.
- Experience with SQL or ETL.
- Experience with reporting and Data Visualization tools such as Quick Sight, Tableau, Power BI, or other BI packages.
- Analytical skills - has the ability to start from ambiguous problem statements, identify and access relevant data, make appropriate assumptions, perform insightful analysis, and draw conclusions relevant to the business problem.
- Experience with data visualization using Tableau or similar tools.
- Experienced in Python.
- Exposure to ETL and AWS like Redshift, S3, etc.
- Expert-level proficiency in writing complex, highly-optimized SQL queries across large data sets.