Business Data Analyst, Shopping Protection Team

vor 2 Wochen

Munich, Deutschland Amazon TA Vollzeit

The Trustworthy Shopping Experience team is looking for a Business
Intelligence Engineer to help us protect our customers from defective,
dangerous products and guarantee them a worry-free shopping experience. Are
you a self-starter who is comfortable handling complex data sets and working
through ambiguity? If so, this role is for you

Key job responsibilities
As a Business Intelligence Engineer in the Trustworthy Shopping Experience
team, you will support our goal to be the most customer-centric company on
Earth. To get there, we need exceptionally talented, bright and driven people.

In this role you will use your passion for data to generate actionable
insights through the development of metrics, dashboards and deep dive
analyses. You will track existing and emerging abuse vectors, generate
actionable insights, define and implement new initiatives, and quantify our
progress using metrics. You dive into the details of the business metrics and
provide insight within the team to assess, prevent, and predict e-commerce
risk. You will collaborate with partner teams to define metrics to measure the
success of our processes and initiatives, develop scalable reporting
solutions, and provide objective and tangible data that allows the team to
identify improvement areas, make informed decisions, and monitor efficiency of
our policies and strategies. You will do this in partnership with other Amazon
teams including program, product, and partner data teams across the world,
hence cross-team coordination and collaboration skills are essential.

A day in the life

You track and publish our business metrics, partner with the internal program
teams to identify root-causes of spikes or plummets in key metrics while
carrying on mid-term to long-term projects to improve our policies, processes
and tools and communicating with data scienceengineering teams.

About the team

Inclusive Team Culture
Here at Amazon, we embrace our differences. We are committed to furthering our
culture of inclusion. We have thirteen employee-led affinity groups, reaching
tens of thousands at chapters across the globe. We have innovative benefit
offerings, and host annual and ongoing learning experiences, including our
AmazeCon (gender diversity) conferences. Amazon’s culture of inclusion is
reinforced within our Leadership Principles, which remind team members to seek
diverse perspectives, learn and be curious, and earn trust.

WorkLife Harmony

Our team puts a high value on work-life harmony. It isn’t about how many hours
you spend at home or at work; it’s about the flow you establish that brings
energy to both parts of your life. We believe striking the right balance
between your personal and professional life is critical to life-long happiness
and fulfillment. We encourage and empower you to find your own balance between
your work and personal lives.

### 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 the ability to collaborate in a 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

Amazon is an equal opportunities employer. We believe passionately that
employing a diverse workforce is central to our success. We make recruiting
decisions based on your experience and skills. We value your passion to
discover, invent, simplify and build. Protecting your privacy and the security
of your data is a longstanding top priority for Amazon. Please consult our
Privacy Notice (https:www.amazon.jobsenprivacy_page) to know more about
how we collect, use and transfer the personal data of our candidates.

mwd

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