Business Intelligence Engineer, GS S&O - T&C - Amazon

Description The AWS Training and Certification (T&C) organization educates customers, partners, and AWS employees on AWS services, products, and solutions. As part of the T&C Business Insights & Analytics team, you will design and develop scalable data and reporting solutions to provide actionable insights into the key performance indicators (KPIs) and metrics that drive the organization. We are seeking a talented Business Intelligence Engineer with experience in building reporting solutions to support the T&C business's data-driven decision-making. Key job responsibilities - Collaborate with business stakeholders to understand their data and reporting requirements, and translate them into effective BI solutions - Design, develop, and maintain BI dashboards, reports, and visualizations using tools like Tableau, QuickSight, or similar - Ensure the accuracy, integrity, and timeliness of data used in BI solutions by implementing robust ETL (Extract, Transform, Load) processes - Contribute to the development and maintenance of the data warehouse and data modeling, ensuring an efficient and scalable BI data architecture - Automate BI processes and workflows to improve efficiency and reduce manual effort - Provide user support and training for BI tools and applications to the broader organization - Continuously identify and implement enhancements to BI solutions based on feedback and changing business requirements - Stay up-to-date with the latest BI trends, technologies, and best practices, and make recommendations for their adoption - Effectively communicate BI findings and recommendations to stakeholders at various levels of the organization About the team About AWS Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the 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. Why AWS? Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness. 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 We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud. Basic Qualifications - Bachelor's degree in computer science, computer engineering, or related field - 2+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience - Experience with data visualization using Tableau, Quicksight, or similar tools Preferred Qualifications - Master's degree, or Advanced technical degree - Knowledge of data modeling and data pipeline design - Experience with statistical analysis, co-relation analysis - Strong communication and presentation skills - Familiarity with data warehouse concepts and experience in working with large data environments - Experience with scripting language (e.g., Python, Java, or R) - Experience gathering business requirements, using industry standard business intelligence tool(s) to extract data, formulate metrics and build reports Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $74,100/year in our lowest geographic market up to $165,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.