At Amazon we are working to be the most customer-centric company on earth. To get there, we need exceptionally talented, bright and driven people. If you would like to help us build the place to find and buy anything online, this is your chance. We are currently looking for a Marketing Business Intelligence Analyst to support the Middle East Marketing organization.
In this role you will be expected to work with marketing team leaders across both online and offline channels to understand the problems they need to solve and design the appropriate solution. You will work closely with our marketing and finance leaders to leverage your expertise in order to guide our traffic investment strategy as well as customer growth strategy. You will need to partner with product and tech to unify our data sources, implement solutions to enable data collection and flow in order to produce 360 degree view of our traffic, customers and overall business as well as analyze the results and form strategic opinions. Often times, the ideal set of data will not be available and you'll have to think creatively about what is available and what you can do in order to drive results. You will make the best of your skillset in business, marketing, finance, simulation and business intelligence to explain, quantify, predict and prescribe. You will know how to translate business and financial goals into agile, insightful analytics. You will also seek to create value for both stakeholders and customers, and will convey findings in a clear, actionable way to managers and senior leaders.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
#J-18808-LjbffrVeröffentlichungsdatum:
03 Feb 2026Standort:
HamburgTyp:
VollzeitArbeitsmodell:
Vor OrtKategorie:
Erfahrung:
2+ yearsArbeitsverhältnis:
Angestellt
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