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Job Description

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 an passionate, dynamic, analytical, innovative, hands-on, and customer-centric Business analyst.
Key job responsibilities
This role primarily focuses on deep-dives, creating dashboards for the business, working with different teams to develop and track metrics and bridges.
- 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 solution
- 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 ability to start from ambiguous problem statements, identify and access relevant data, make appropriate assumptions, perform insightful analysis and draw conclusion 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


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