Join Amazon's HR team and help make a difference for all Amazonians! We are currently looking for an ERC Business Analyst to drive actionable insights through sustainable analytical solutions.
We need an analyst who is passionate about the Customer Experience, who thinks and acts globally, and who has the ability to contribute major new innovations to join our Capacity Planning and Analytics team supporting the Employee Resource Center (ERC).
Amazon is known to be a metrics driven culture. This role will be responsible for answering questions about the state of our business, generating new insights to help guide the strategic direction of the ERC, building and maintaining reports for all levels of our organization, integrating new data sources into a team-specific Redshift cluster, and ensuring data cleanliness and accuracy.
You will act as the primary point of contact for visualization, ad-hoc reporting and KPI development.
Successful candidates demonstrate an ability to :
Have passion for sourcing, maintaining and visualizing data
Demand data accuracy in their work
Stand before stakeholders, including senior leaders to clearly communicate strategic findings and recommendations
Prioritize and manage multiple requests simultaneously
Advocate for working backwards from the customer
Bachelor’s Degree in a quantitative field (engineering, economics, math, statistics) or at least 5 years of relevant work experience.
A minimum of 1 year of experience in an analytics role
Working knowledge of SQL (T-SQL, MySQL, PostgreSQL, HiveQL, etc.) and experience analyzing complex data sets.
Working knowledge of Tableau, Microstrategy, QuickSight or equivalent data visualization solutions.
Proven analytical and quantitative skills and an ability to use hard data and metrics to back up assumptions, develop business cases and complete root cause analyses.
Experience applying statistical methods to solve business problems.
Experience building and analyzing models using various statistical tools for forecasting and optimization.
Proficient in statistical programming languages such as R, Stata.
Experience working with large data sets in data warehouse environments.