Business Intelligence Engineer, AWS Support S&O - ESSO ...

DescriptionEnterprise Support Strategy and Ops is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector. Would you like join one of the fastest-growing organizations within Amazon Web Services (AWS) and help customers of all industries and sizes gain the best value and service from AWS? Enterprise Support is hiring You recognize and adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation. You write high quality code to retrieve and analyze data as well as analyze and solve business problems at their root, stepping back to understand the broader context. Developing pragmatic analyses and choosing applicable solutions that add value to your business area, you understand data resources and know how, when, and which to use (and which not to use). By recognizing and using advanced analytical techniques to solve business problems, you develop analyses (whether fully formed or exploratory) for the businessu2019 sake, not for analysesu2019 sake. You seek to understand the business objectives relevant to your area and align your work to those objectives and seek to deliver business value. You will own the design, development, and maintenance of ongoing metrics, reports, analyses, dashboards, etc. within SQL, Redshift, Quicksights, etc. You will be required to design and influence operational best practices for reporting and analytics to enable the team to scale as we expand. You will empower data-driven decision making through implementing principles of data mining, data modeling, and analytical skills to define and measure critical metrics. Key job responsibilities u2022 Build dashboards that enable business insights and support business review mechanisms, including building and designing back end architecture, data models, ELT jobs, etc as needed u2022 Work with business stakeholders to define business problems and deliver minimum lovable products in days and weeks u2022 Deliver dashboards, analysis, and develop predictive models in an Agile development environment u2022 Collaborate with business analysts, data engineering peers, Business Operations, finance, and internal customers to deliver scalable consumption of analytics insights and statistics u2022 Support the analytical needs of the team inclusive of routine reporting, statistical inference, predictive modeling, simulation, and visualization u2022 Partner with engineering, product, business and finance teams to create key performance indicators and new methodologies for measurement u2022 Retrieve and analyze data from database tables (ex. Redshift, Oracle), and learn and understand a broad range of Amazonu2019s data resources and know how, when, and which to use and which not to use u2022 Analyze volumes of data to find the root causes behind variances and drive insights u2022 Build new analytical tools, interfacing with business and technical stakeholders u2022 Develop models and metrics providing insights on customer experience and business performance About the team Why 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, hasnu2019t followed a traditional path, or includes alternative experiences, donu2019t let it stop you from applying. About AWS Amazon Web Services (AWS) is the worldu2019s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating u2014 thatu2019s 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, itu2019s 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. 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 flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, thereu2019s nothing we canu2019t achieve in the cloud. Mentorship & Career Growth Weu2019re continuously raising our performance bar as we strive to become Earthu2019s Best Employer. Thatu2019s why youu2019ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.Basic Qualifications- Bachelor's degree - 1+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience - Experience with data visualization using Tableau, Quicksight, or similar tools - Experience building and maintaining basic data artifacts (e.g., ETL, data models, queries) - Experience with scripting language (e.g., Python, Java, or R) - Experience with data querying or modeling with SQLPreferred Qualifications- Bachelor's degree or above in statistics, business analytics, data analytics, data science, computer science or related field 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 for more information. If the country/region youu2019re applying in isnu2019t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, TX, Dallas - 82,300.00 - 144,000.00 USD annually USA, WA, Seattle - 82,300.00 - 144,000.00 USD annually

Created: 2026-04-02