Sr. Business Intelligence Engineer, AWS

DescriptionAWS Sales, Marketing, and Global Services (SMGS) 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. The AWS Global Services team interacts with leading companies and believes that world-class support is critical to customer success. Additionally we partner with a global list of customers that are building mission-critical applications on top of AWS services.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 business sake, not for analyses 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.You will need to have a high bar for ownership and work autonomously to create high-quality products for the customer. You will be required to communicate project roadmap, prioritization, and release notes of new products with customer and stakeholder groups up to senior leadership. In addition, you will serve as team lead providing mentorship, review of product development and direction on ad-hoc leadership requests with more junior members.Key job responsibilities-Lead the design, implementation, and delivery of BI solutions for the complex and ambiguous problems-Conduct deep dive analyses of business problems and formulate conclusions and recommendations to be presented to senior leadership-Identify opportunities and key criteria to drive analytical reporting and business strategy-Produce written recommendations and insights for key stakeholders that will help shape effective metric development and reporting-Simplify and automate reporting, audits and other data-driven activities; build solutions to have maximum scale and self-service ability by stakeholders-Partner with our Data Engineering team to enhance data infrastructure, data availability, and broad access to customer insights-To develop and drive best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation-Learn new technology and techniques to meaningfully support product and process innovation-Own the design, development, and maintenance of ongoing metrics, reports, analyses, dashboards, etc. to drive key business decisionsAbout the teamWhy AWS?Diverse ExperiencesAWS 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, hasnt followed a traditional path, or includes alternative experiences, dont let it stop you from applying.About AWSAmazon Web Services (AWS) is the worlds most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating thats 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 CultureHere at AWS, its 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 BalanceWe 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, theres nothing we cant achieve in the cloud.Mentorship & Career GrowthWere continuously raising our performance bar as we strive to become Earths Best Employer. Thats why youll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.Basic Qualifications- 5+ years of SQL experience- Experience building measures and metrics, and developing reporting solutions- Bachelor's degree in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative fieldPreferred Qualifications- Master's degree in statistics, data science, or an equivalent quantitative field- 7+ years of SQL experience- Experience in scripting for automation (e.g. Python) and advanced SQL skills.- Experience with AWS technologies- Experience with data visualization using Tableau, Quicksight, or similar tools- Knowledge of data warehousing and data modelingAmazon 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 $117,300/year in our lowest geographic market up to $202,800/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.