Amazon Data Steward Cycle Reverse Logistics 

Ireland, Dublin 

956771429

Key job responsibilities
• Ensuring accuracy, consistency, and completeness of system data, both within and outside of the application
• Developing and enforcing data standards, policies, procedures, and governance strategies to maintain global data integrity and compliance
• Performing regular data quality assessments, developing and implementing scorecards and improvement plans to address identified issues
• Working closely with stakeholders across the organization and service providers to understand data requirements and provide support
• Utilizing SQL to query, extract, and analyze data to support business needs
• Generating and presenting data performance metrics and reports/visuals to leadership to drive data consistency and accuracy
• Providing training and support to team members on data-related topics and best practices
• Managing ticket queue, prioritization, and tradeoffs for strategic system developments
• Facilitating migration of legacy data into new systems and reporting architecture as needed
• Testing new data in development to ensure a successful implementation into production environments
• Engaging with customers and stakeholders to gather requirements for new reporting in developmentA day in the lifeYou’ll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You’ll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you’ll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion.About AWSDiverse Experiences
AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.Mentorship & Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.Work/Life Balance

• 3+ years of data management, data engineering, or related experience in a warehousing, supply chain, manufacturing, or reverse logistics environment
• Bachelor’s degree in Data Science, Computer Science, Information Systems, or related, or 4+ additional years of related experience in lieu of a degree
• 2+ years of experience using Microsoft Office tools (Excel, Word, etc.)

• Experience with one or more query language (e.g., SQL, PL/SQL, DDL, MDX, HiveQL, SparkSQL, Scala)
• Experience with data modeling, warehousing, and building ETL pipelines using AWS cloud tools
• Experience using data visualization tools (Tableau, Quicksite, etc.) in developing insightful dashboards to share data with a variety of stakeholders
• Strong analytical and problem-solving capabilities with a keen eye for details
• Proven track record for improving metrics and performance to SLA
• Strong verbal and written communication skills to translate complex problems using non-technical terms
• Experience managing a 3rd party vendor