Business Intelligence Engineer
1 week ago
We are seeking a highly skilled Business Intelligence Engineer to join our dynamic team at Amazon. As a Business Intelligence Engineer, you will play a critical role in building data pipelines, developing robust metrics, and delivering deep-dive analysis to support defect elimination science model development.
Key Responsibilities- Design and implement metrics and dashboards to measure the success and effectiveness of science models.
- Apply analytical skills to extract meaningful insights and learnings from large and complicated data sets.
- Present deep dives and analysis to both technical and non-technical stakeholders, ensuring clarity and understanding.
- Perform statistical analysis and statistical tests, including hypothesis testing and A/B testing.
- Recognize and adopt best practices in reporting and analysis, including data integrity, test design, analysis, validation, and documentation.
The Worldwide Defect Elimination (WWDE) team in Customer Service carries the mission of identifying, measuring, and resolving defects in Amazon customer experiences. Within this scope, the Defect Elimination Science team has been building AI models for discovering customer experience defects reported in customer feedback, as well as root causing, measuring, delegating, and tracking the resolution of those defects.
Basic Qualifications- Bachelor's degree in BI, finance, engineering, statistics, computer science, mathematics, finance, or equivalent quantitative field.
- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling.
- Experience in analyzing and interpreting data with Redshift, Oracle, NoSQL, etc.
- Proficient in descriptive statistics.
- Exceptional communication skills, with the ability to convey complex ideas in a clear and concise manner.
- Strong critical thinking and problem-solving skills.
- Master's degree in BI, finance, engineering, statistics, computer science, mathematics, finance, or equivalent quantitative field.
- Strong understanding of A/B testing, sampling methodologies, and other statistical analysis.
- Basic knowledge of Machine Learning and scientific modeling techniques.
Amazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment.
The benefits that generally apply to regular, full-time employees include:
- Medical, Dental, and Vision Coverage
- Maternity and Parental Leave Options
- Paid Time Off (PTO)
- 401(k) Plan
Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
For individuals with disabilities who would like to request an accommodation, please visit our website.
The base pay for this position ranges from $89,600/year in our lowest geographic market up to $185,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience.
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