Business Analyst II
@ Amazon

Austin, TX
$120,000
On Site
Full Time
Posted 7 hours ago

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XXXXXXXX XXXXXXXXX XXXXXXXX***** @amazon.com
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Job Details

Overview

The Business Analyst II position at Amazon supports senior management by managing metrics reporting and performing data mining and big data analysis to provide strategic advice on business forecast models.

Key Responsibilities

  • Manage metrics reporting and forecast models.
  • Conduct advanced data mining and statistical analysis.
  • Automate reports for promotional and project launch campaigns.
  • Use SQL, ETL and Oracle for business intelligence tool development.
  • Perform mathematical modeling and data-driven problem solving.
  • Conduct regression analysis and clustering using R, SAS, STATA, and SPSS.
  • Establish scalable, efficient processes for large-scale data analyses.

Basic Qualifications

Bachelor's degree in Business Administration, Computer Science, Engineering, Mathematics, Statistics, Economics, or a related field with at least one year of relevant experience. Experience using database technologies (SQL, ETL, Oracle) and extracting data from multi-dimensional datasets. Proven skills in statistical analysis using tools like R, SAS, STATA, SPSS, and advanced MS Excel including macros.

Preferred Qualifications

All basic qualifications must be met. Amazon values diversity and is an equal opportunity employer.

Key skills/competency

  • Data Mining
  • SQL
  • ETL
  • Oracle
  • Statistical Analysis
  • Mathematical Modeling
  • Automation
  • Excel
  • Business Intelligence
  • Big Data
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How to Get Hired at Amazon

🎯 Tips for Getting Hired

  • Customize your resume: Tailor your skills to Amazon's requirements.
  • Highlight relevant experience: Emphasize data mining and modeling.
  • Prepare for technical questions: Review SQL, ETL, Oracle challenges.
  • Research Amazon's culture: Understand their business intelligence approach.

📝 Interview Preparation Advice

Technical Preparation

Review SQL query optimization techniques.
Practice ETL process and Oracle operations.
Refine statistical analysis using R and SAS.
Improve Excel skills with macro automation.

Behavioral Questions

Describe a challenging data project.
Explain team collaboration experience.
Discuss handling tight deadlines.
Outline problem-solving approach.

Frequently Asked Questions