Sr Business Intelligence Engineer, EU Sustainable Packaging

Sr Business Intelligence Engineer, EU Sustainable Packaging

Amazon is looking for a detail oriented and highly motivated Senior Business Intelligence Engineer to join the EU Sustainable Packaging Team in Berlin. Are you passionate about sustainability and interested in driving packaging waste reduction efforts across Amazon? This is your opportunity to be part of a core team that actively reduces the packaging waste while delighting our customers, ultimately helping us reach our Climate Pledge goals.

The EU Sustainable Packaging Team owns the programs that reduce outbound packaging material weight per shipment aiming to lessen the burden of packaging waste management for customers, decrease fulfilment cost and carbon emissions. We are a Team of Program Managers, Packaging Experts, Data Analytics professionals that interfaces with core Finance, Sustainability, Operations, Engineering, Amazon Robotics, Procurement, Legal, and Public Relations to design and deliver solutions that eliminate waste, reduce damage, driving significant savings for Amazon and ultimately delight our customers.

The Senior Business Intelligence Engineer will be responsible for developing, enhancing, automating and managing analytics and BI solutions using strong analytics skills. They will create data structures, and build complex models used to analyze data, deep dive root causes of operational issues or challenges, drive process improvements, build KPIs and metrics, and document systems and processes for internal publication. The Business Intelligence Engineer has a direct and high impact on metrics and goals. They identify opportunities, develop entitlement models and mechanisms to track project specific and overall packaging mix impact. Moreover, they contribute to create the packaging long-term vision by providing key business insights identifying high-impact opportunities and unique in-depth ideas. They will be successful in this role if they have a track of experience combining both analytical and business competencies. Moreover, they will need excellent communication and networking skills as they will work with global data owners to guarantee data accuracy and appropriated granularity, while producing datasets that will be used for internal and external compliance reports.

The ability to work independently and deal in an ambiguous environment is a must. Ownership of work is extremely important, and candidates should have a proven record of troubleshooting and problem solving. The ideal candidate is motivated, agile, and able to succeed in a fast-paced, analytical environment.


Key job responsibilities

Key job responsibilities
• Collect, analyze and present actionable data to drive business decisions at a senior level
• Ensure data accuracy in internal data pipelines and validate data for new and existing products.
• Write high quality code to retrieve and analyze data using SQL, and scripting language (e.g. Python)
• Establish new, scalable, efficient, automated processes for tracking and reporting on progress of initiatives. This includes data analysis for program launches and its impact on the business.
• Learn and understand a broad range of Amazon's data resources (including AWS services) and make use appropriately
• Serve as liaison between the business and technical teams to support future improvements or innovation.
• Prioritize analytical problem statements to ensure the Team works on the highest impact projects and earn stakeholder trust.

BASIC QUALIFICATIONS

- Experience programming to extract, transform and clean large (multi-TB) data sets
- Experience with theory and practice of design of experiments and statistical analysis of results
- Experience with AWS technologies
- Experience in scripting for automation (e.g. Python) and advanced SQL skills.
- Experience with theory and practice of information retrieval, data science, machine learning and data mining
- Experience working directly with business stakeholders to translate between data and business needs
- Experience with SQL
- Experience with data visualization using Tableau, Quicksight, or similar tools
- Experience in the data/BI space

PREFERRED QUALIFICATIONS

- Experience managing, analyzing and communicating results to senior leadership

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.jobs/en/privacy_page ) to know more about how we collect, use and transfer the personal data of our candidates.

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 https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

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