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Description
Unlock the power of data and transform transportation operations with analytics solutions! Join our dynamic team in London and become a pivotal force in developing innovative insights that drive strategic decision-making across European transportation networks.
You'll be at the forefront of creating next-generation data tools that provide intuitive insights for the Air, Line-haul and Sortation teams in Europe. By leveraging advanced analytical skills, you'll help translate complex business challenges into meaningful, actionable intelligence that supports strategic innovation and operational excellence.
Key job responsibilities
Key responsibilities
- Analyze complex business requirements and translate them into robust technical specifications
- Design and implement scalable Business Intelligence solutions and custom software development products
- Develop comprehensive test cases and guide stakeholders through testing processes
- Create and deliver compelling presentations of analytical solutions to business stakeholders
- Maintain and troubleshoot deployed solutions with a focus on system reliability and performance
A day in the life
Your day will be a blend of collaborative problem-solving and independent technical development. You'll engage with cross-functional teams, design sophisticated reporting frameworks, and develop analytical models that provide critical operational insights. Expect to dive deep into data challenges, prototype innovative solutions, and communicate complex technical concepts with clarity and impact.
About The Team
We are a collaborative group of data enthusiasts committed to transforming transportation operations through intelligent analytics. Our team values creativity, analytical thinking, and a passion for solving complex business challenges. We're focused on developing scalable solutions that drive operational efficiency and strategic decision-making across European transportation networks.
Basic Qualifications
- Bachelor's degree in Computer Science, Data Science, Engineering, or related technical field
- Professional experience in Business Intelligence, data engineering or data analytics
- Advanced proficiency in SQL and Python
- Knowledge of data warehousing and data modeling
- Experience in developing analytical models and reporting frameworks
- Experience with data visualization using Tableau, Quicksight, or similar tools
- Experience working directly with business stakeholders to translate between data and business needs
- Experience programming to extract, transform and clean large (multi-TB) data sets
Preferred Qualifications
- Master's degree in statistics, data science, or an equivalent quantitative field
- Experience using Cloud Storage and Computing technologies such as AWS Redshift, S3, Hadoop, etc.
- Experience programming to extract, transform and clean large (multi-TB) data sets
- Experience with AWS technologies
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.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
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.
Company - Amazon EU SARL (UK Branch) - D67
Job ID: A3008458
