Senior Manager, Business Intelligence, InTech

Sep 01, 2023

Munich, Bavaria, DEU

Amazon’s global presence continues to grow quickly – offering millions of products to customers across the world. Our vision is to enable customers from anywhere in the world to purchase any product that we offer globally, through a localized experience at a competitive price and superior delivery experience.

We're working to be the most customer-centric company on earth. To get there, we need exceptionally talented, bright, and driven people. If you'd like to help us build the place to find and buy anything online, this is your chance to make history. We are looking for a dynamic and organized self-starter to join us as a Senior Manager of Business Intelligence for EU InTech.

Amazon EU International Technology (EU InTech) focus on accelerating the EU Stores business by developing solutions for end customers, sellers and vendors to support Amazon’s flywheel.

As the Senior Manager of Business Intelligence, you will own our analytical tools, and build new business intelligence solutions end-to-end. You will lead a team of business intelligence engineers and analysts to solve our most challenging problems. You’ll work directly across all teams to provide valuable data-driven insights and recommendations. You will create reporting and analysis that the business will use to measure all aspects of operational performance and cost, and drive both incremental improvement to existing tools and processes and large scale changes in our tools, user interfaces, processes and overall business organization. You will create standard metrics reporting and deliver on ad hoc requests. You will flex across core operational metrics and consumer behavior metrics – linking the two and bringing proactive points of view to leadership, frequently before being prompted. In addition to leading the design, development, and management of our analytical tools and reporting, we will look to this person to provide thought leadership and business analysis support as needed. The successful candidate will demonstrate strong business acumen, experience in developing reporting and analytical infrastructures, strong communication skills, an ability to work effectively with cross functional teams in a fast paced environment and highly ambiguous work space.

Key job responsibilities
• Building measurement architecture and metrics, developing reporting solutions using statistical analysis and programming languages such as R or Python
• Supporting the launch of new products and programs for global customers
• Diving deep in data to create insights using AWS Quicksight and Tableau.
• Driving business changes and inventing new ways to look at data using machine learning models and experimentation.
• Partnering with Data Engineers, Business Intelligence Engineers, Data Scientists and Software Engineers to design products and systems to transform and store billions of data items using SQL, ETL, Data Warehouse solutions, and databases.
• Exporting and analyzing data and working with senior leadership to understand customer behaviors, spot system defects, and benchmark our ability to serve our customers.
• Developing and maintaining standard operating procedures for the business intelligence team and their interactions across the organization.
• Leading and managing a team of Business Intelligence engineers.
• Serving as a senior SME and mentor for SQL and Tableau, including helping teams become more self-sufficient with scripted requests.

We are open to hiring candidates to work out of one of the following locations:

Madrid, SPAIN
Luxembourg, LUX
London, UK

We are open to hiring candidates to work out of one of the following locations:

Munich, DEU

Basic Qualifications

- Knowledge of data engineering pipelines, cloud solutions, ETL management, databases, visualizations and analytical platforms
- Strong verbal/written communication & data presentation skills, including an ability to effectively communicate with both business and technical teams

Preferred Qualifications

- Knowledge of methods for statistical inference (e.g. regression, experimental design, significance testing)
- Sound business judgment, proven ability to influence others, strong attention to detail, excellent organization skills, and ability to manage multiple projects and responsibilities are critical to success in this position

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 (\_page) to know more about how we collect, use and transfer the personal data of our candidates.


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