Business Intelligence Engineer, World Wide Field Enablement

DescriptionAs a Business Intelligence Engineer within the WWFE organization, you will play a strategic role in driving the design, implementation, and delivery of cutting-edge business intelligence solutions.Key job responsibilitiesLeveraging tools like Amazon QuickSight for advanced data analysis, visualization, and reportingDemonstrating expertise in SQL and being proficient in Python and AWS services to tackle complex data challengesApplying advanced data science techniques, such as chi-square, t-test, and correlation analysis, to drive data-driven decision makingLeading the introduction of innovative technologies, including generative AI and machine learning, into our reporting and analytics workflowsImplementing robust data security and governance measures to ensure the protection of sensitive customer informationCentralizing and harmonizing data sources to enable self-service analytics capabilities for our teams and customersMapping sales output with training performance and conducting in-depth correlation analysis using your data science skillsMentoring and developing other data and analytics professionals within the organization, sharing your knowledge and expertiseAbility to communicate insights effectively to both technical and non-technical stakeholdersA day in the lifeAs a WWFE Business Intelligence Engineer, you will be empowered to innovate on a daily-basis with access to any tools you believe will do the job at hand best. You will be supported by a diverse team of fellow DEs, BIEs, SDEs, and PMs. Your work will directly to enable impact through data for all of WWFE and will include, though not limited to, decision consulting with business stakeholders, designing visualizations, managing pipelines, and enabling self-serve for our our business stakeholders.About the teamABOUT AWS:Diverse ExperiencesAmazon 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, hasnt followed a traditional path, or includes alternative experiences, dont let it stop you from applying.Why 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.Work/Life BalanceWe 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, theres nothing we cant achieve in the cloud.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.Mentorship and 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- 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience- Experience with data visualization using Tableau, Quicksight, or similar tools- Experience with data modeling, warehousing and building ETL pipelinesPreferred Qualifications- Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift- Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets- Experience developing and presenting recommendations of new metrics allowing better understanding of the performance of the business- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling- Experience in Statistical Analysis packages such as R, SAS and MatlabAmazon 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 $89,600/year in our lowest geographic market up to $185,000/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.