Were a company of pioneers. Its our job to make bold bets and we get our energy from inventing on behalf of customers. Success is measured against the possible not the probable. For todays pioneers thats exactly why theres no place on Earth theyd rather build than here.
The PPTBI team needs an individual with excellent analytical abilities knowledge of business intelligence solutions as well as business acumen and the ability to work with quantitative and business teams. Our top candidate will be a selfstarter comfortable forging their own trail with a sharp eye for details an ability to work in a fastpaced and everchanging environment and the ability to communicate effectively with senior leadership.
The ideal candidate is an independent and curious selfstarter with a demonstrated ability to produce highquality technical content drive complex documentation projects collaborate with technologists and subject matter experts and have a high tolerance for ambiguity and a bias toward action.
Key job responsibilities Enable effective decision making by retrieving and aggregating data from multiple sources and compiling it into a digestible and actionable format Partnering with other analysts and engineers to build analytical solutions to deliver on business goals Propose and implement business metrics for senior management reviews and work with business intelligence and data engineers to design and develop data infrastructure to support business growth Perform deepdives to find the root causes behind variances of key parameters over a given timeperiod
Bachelors degree in BI finance engineering statistics computer science mathematics finance or equivalent quantitative field 2 years of analyzing and interpreting data with Redshift Oracle NoSQL etc. experience Experience developing and presenting recommendations of new metrics allowing better understanding of the performance of the business Experience with data visualization using Tableau Quicksight or similar tools Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling Experience writing complex SQL queries
Masters degree in BI finance engineering statistics computer science mathematics finance or equivalent quantitative field Experience with data modeling warehousing and building ETL pipelines Experience with forecasting and statistical analysis
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.
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