Recruiting Ops, Business Intelligence Engineer


Do you have a passion for using data to develop mathematical models? Do you get a thrill out building something from scratch? Do you want to drive change on a global scale?

Join the Recruiting Analytics and Data (RAD) team to help us re-imagine how Global Talent Acquisition plans to hire the future generations of employees at Amazon. Amazon has a culture of data-driven decision-making and demands business intelligence that is timely, accurate, and actionable for people at all levels. As Amazon keeps growing, it places a huge amount of responsibility on the recruiting teams to deliver qualified candidates on time across the world. RAD's job is to equip these teams with the ability to measure their recruiting strategies to continually improve every touch point of the candidate journey.

RAD plays a critical role in shaping the future of reporting and analytics for our expanding global teams. As a Business Intelligence Engineer (BIE), you will lead the charge on designing recruiting forecasting models that determine how we invest in sourcing channels and vendors globally. Your goal is to design and implement the strategy working closely with our finance partners and recruiting leadership team. This isn't easy – much of this work will be starting from scratch or attempting to tie together varied best practices across decentralized, global teams.

That being said, you'll also be coming in right as we're beginning to tell a cohesive story starting with evaluating the factors that impact how productive our workforce is. You will have an opportunity to learn from other research scientists and engineers working on unique projects across HR. You will be responsible for driving innovative research projects that go where the research leads them. You will write papers to present research to senior leadership. And you won't be alone. Our team includes BIEs, a Research Scientist, a Business Analyst and a Data engineer — all of whom will be partners for you in realizing our vision and enabling the growth at Amazon that's critical for our customers. You're just right for this role because you have big ideas for how data can be used to drive change and you have a track record to prove it.

Basic Qualifications

  • 5+ years of relevant research related experience
  • Bachelor's degree in Economics, Statistics or Mathematics
  • Experience analyzing large quantities of data
  • One or more years of experience applying experimental methodology to solve applied problems
  • Knowledge and proficiency with MS Excel
  • Proficiency in a minimum of one statistical analysis tool: R, SaS, SPSS, Stata

Preferred Qualifications

  • Master's in Economics, Statistics or Mathematics
  • Demonstrated ability to learn new technologies and tasks quickly
  • Proficient in SQL
  • Project management experience
  • Customer service orientation with a demonstrated desire to exceed expectations – ability to serve multiple customers
  • Consistent delivery on commitments - great organizational skills with exceptional follow through and attention to detail
  • Proficiency in data visualization tools such as Tableau
  • Excellent written and verbal skills
  • Strong planning, organization skills, and attention to detail
  • Ability to embrace ambiguity and changing circumstances

Amazon is an Equal Opportunity-Affirmative Action Employer - Female/Minority/Disability/Veteran/Gender Identity/Sexual Orientation.

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