Amazon Tax Calculation Services team is looking for a Data Analyst to help execute on critical strategies for Amazon. The ideal candidate has a background in statistics, applied mathematics, or computational science and a history of solving difficult problems using a scientific approach.
As a Data Analyst, you will work with data scientists, tax managers and engineers to: resolve ambiguity with data, play a crucial role in the iteration and optimization of software solutions, and support data-driven decision-making across the organization. You will be responsible for researching, experimenting and analyzing predictive and optimization models. You will be working on ambiguous and complex business problems with the goal of developing innovative solutions.
The Team: How often have you had an opportunity to be a founding member of a team that is tasked with helping solve a huge business problem through innovative technology? Would you like to know more about how machine learning and big data can be used to solve these problems? If this sounds intriguing, then we'd like to talk to you about a role on an Amazon's Tax Calculation Services team, that's tackling a set of problems requiring significant innovation.
Support for day-to-day operations teams with it data needs
Support the teams need for ad-hoc analysis, automated reports and dashboards
Identify opportunities for developing new data sources, and provide technical leadership around making those data sources high quality and broadly available
Communicate your results to diverse audiences at all levels from executives to engineers with effective writing, visualizations, and presentations
Be a champion for high quality data-driven decision-making on your team and throughout the company
Partner with Engineering/Data Engineering to improve the quality of existing data and bring additional data sources in line
Write sophisticated SQL queries to extract data and build complex models (Excel/R/etc.)
Build/automate reports/dashboards (in Tableau) that allow the business leaders to get a clear snapshot of their operations
Design and analyze tests to quantify impact of customer-facing changes
Perform complicated analyses to extract learnings and drive insights