Business Intelligence Engineer, Trustworthy Shopping Experience (Sofort einstellen)
Amazon TA München Vollzeit
The Trustworthy Shopping Experience team is looking for a Business
As a Business Intelligence Engineer in the Trustworthy Shopping Experience
team, you will support our goal to be the most customer-centric company on
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
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
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
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
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
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 workingthrough ambiguity? If so, this role is for you!
Key job responsibilitiesAs 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 actionableinsights 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 programteams 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 CultureHere 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 hoursyou 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- Degree in Computer Science, Mathematics, Statistics, Finance, or related
- Knowledge of at least one programming language (Python, R, Java, C++,
- Experience in Microsoft Excel and querying data sets using SQL
- Fluency in written and spoken English
- Team player with the ability to collaborate in a diverse team including
- Effective verbal and written communication skills
- Advanced Degree in Computer Science, Mathematics, Statistics, Finance, or
- Practical experience in data analysis such as data warehousing, regression
- Familiarity with AWS services such as S3, Redshift, EMR, Athena, etc.
- Experience with Machine Learning
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
Amazon TAMünchen
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...
AmazonMünchen
Amazon Extra Large (AMXL) is looking for a customer focused, analytically and technically skilled Business Intelligence Engineer to drive effective performance measurement and management, innovation and execution in last mile delivery.
This position...
CHECK24München
/ Business Intelligence. Wir freuen uns auf Deine Bewerbung!
Zu Deinen Aufgaben zählen
• Im Team arbeiten: Du bist vollwertiger Bestandteil unseres erfahrenen und agilen BI-Teams und arbeitest eng mit IT, Produkt-/Partnermanagement und Finance zusammen, um unsere...