Key Responsibilities:
- Analytical Strategy Development:
- Develop and implement a long-term analytical strategy.
- Influence multiple departments using analytics to increase productivity and effectiveness.
- Data Analysis and Business Recommendations:
- Identify, develop, manage, and execute analyses to uncover areas of opportunity.
- Present written business recommendations that help shape the business roadmap.
- Large Scale Data Mining:
- Find trends and problems through data mining and communicate findings to drive corrective action.
- Experimental and Analytic Plans:
- Develop plans for data modeling processes, establish baselines, and determine cause-and-effect relationships.
- Statistical and Machine Learning Methods:
- Apply these methods to address specific business problems.
- Collaborate with the Machine Learning team in model building, validation, and creation of targeting strategies.
- Metrics and Reports:
- Design, develop, and maintain metrics, reports, analyses, dashboards, etc., to drive key business decisions.
Basic Qualifications:
- Educational Background:
- Bachelor’s degree in BI, finance, engineering, statistics, computer science, mathematics, or an equivalent quantitative field.
- Professional Experience:
- Previous experience working as a BIE in a technology company.
- Experience developing and presenting new metrics to better understand business performance.
- Technical Skills:
- Proficiency in SQL and understanding of data warehousing concepts.
Preferred Qualifications:
- Problem-Solving Skills:
- An inquisitive mindset with proven problem-solving abilities.
- A passion for big data.
- Technical Expertise:
- Experience building multi-dimensional data models.
- Experience with highly available, distributed systems for data extraction, ingestion, modeling, and processing.
- Proficiency in regression, classification, and cluster analysis.
- Data Visualization:
- Knowledge and experience with data visualization/reporting tools like Tableau or QuickSight.
- Advanced Analytical Tools:
- Advanced skills in SQL, data mining, and analytical tools such as R, Python, or SAS.
- Communication Skills:
- Strong verbal and written communication skills.
- Ability to effectively communicate with both business and technical teams.
- Product Management Exposure:
- Exposure to product management is a plus.
If you have a strong background in business intelligence, data analytics, and a passion for working in a fast-paced and customer-centric environment, this role might be a perfect fit for you.
Apply Now: Amazon Hiring Business Intelligence Engineer II (BIE II)