• Collaborating with cross-functional groups to resolve real-world enterprise issues utilizing superior financial and statistical methodologies
  • Conducting utilized financial analysis with giant, complicated datasets
  • Building sturdy abilities in information evaluation, information administration, and statistical programming utilizing instruments resembling Python, R, and Stata
  • Applying econometric methods to generate insights that affect enterprise choices
  • Developing a analysis portfolio that strengthens future PhD program purposes
  • One-on-one mentorship from skilled Amazon Economists
  • Academic mentoring from college professors
  • Coaching on PhD program conditions and admissions
  • Exposure to the full analysis lifecycle—from information assortment and modeling to determination affect
  • $74,100 per yr in the lowest geographic market
  • Up to $165,600 per yr in the highest geographic market
  • Medical and well being advantages
  • Financial advantages
  • Possible sign-on funds or fairness (relying on supply)
  • At least 2 years of expertise analyzing and decoding information utilizing programs resembling Redshift, Oracle, or NoSQL databases
  • Experience with information visualization instruments like Tableau, QuickSight, Power BI, or related
  • Knowledge of statistical strategies resembling t-tests and chi-squared evaluation
  • Proficiency in at the very least one scripting or programming language, together with Python, R, or Java
  • A Master’s diploma or superior technical diploma
  • Experience with information modeling and information pipeline design
  • Strong background in statistical and correlation evaluation
  • CV or résumé
  • Academic transcripts
  • A analysis writing pattern
  • A private assertion outlining analysis pursuits and long-term profession targets