Data Insights Specialist, Customer Protection Expertise
Vor 2 Tagen
As a Data Insights Specialist on Amazon's Trustworthy Shopping Experience team, you will play a crucial part in protecting our customers from defective or dangerous products. You will utilize your passion for data to generate actionable insights through the development of metrics, dashboards, and deep dive analyses.
About the Team
The Trustworthy Shopping Experience team at Amazon is dedicated to delivering exceptional customer experiences. We are committed to furthering our culture of inclusion, with thirteen employee-led affinity groups and innovative benefit offerings. Our team values work-life harmony, encouraging employees to find their own balance between personal and professional lives.
What We're Looking For
We're seeking a skilled Data Insights Specialist with experience in Microsoft Excel, SQL querying, and at least one programming language (Python, R, Java, C++, or Haskell). A degree in Computer Science, Mathematics, Statistics, Finance, or a related field is required. Familiarity with AWS services such as S3, Redshift, EMR, Athena, and Machine Learning is a plus.
Key Responsibilities
In this role, you will track existing and emerging abuse vectors, generate actionable insights, define and implement new initiatives, and quantify progress using metrics. You will collaborate with partner teams to develop scalable reporting solutions and provide objective data for informed decision-making. Your day-to-day tasks may include publishing business metrics, identifying root causes of spikes or plummets in key metrics, and working on mid-term to long-term projects to improve policies, processes, and tools.
BASIC QUALIFICATIONS
1. Degree in Computer Science, Mathematics, Statistics, Finance, or related field
2. Knowledge of at least one programming language (Python, R, Java, C++, Haskell or similar)
3. Experience in Microsoft Excel and querying data sets using SQL
4. Fluency in written and spoken English
PREFERRED QUALIFICATIONS
1. Team player with ability to collaborate in diverse team including other geographic locations and cultures
2. Effective verbal and written communication skills
3. Advanced Degree in Computer Science, Mathematics, Statistics, Finance, or related field
4. Practical experience in data analysis such as data warehousing, regression modelling, forecasting, data mining
5. Familiarity with AWS services such as S3, Redshift, EMR, Athena, etc.
6. Experience with Machine Learning
Salary Information
We offer a competitive salary range of $120,000 - $180,000 per year, depending on qualifications and experience.
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