Description AWS 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 Support team interacts with leading companies and believes that world-class support is critical to customer success. AWS Support also partners with a global list of customers that are building mission-critical applications on top of AWS services. Are you passionate about leveraging data to deliver actionable insights that impact the daily business decisions of AWS? Do you want to have an impact on making strategic deals come to life? Are you excited to solve business challenges through data analytics and business intelligence (BI) solutions? If so, we are looking for a Sr. Business Intelligence Analyst to join the Deal Tooling and Insights team to help solve business challenges through data analytics. Deal Tooling and Insights team provides tools, process monitoring, and bespoke analysis to our internal customers and help them meet their desired business outcomes while ensuring alignment with AWS business objectives. Successful candidates must have the ability to collaborate effectively across multiple technical and non-technical business units to deliver successfully against highest standards. The ideal candidate will have strong technical skills with business acumen, and detail-oriented with excellent analytical problem-solving skills. A keen sense of end-to-end ownership, drive, and scrappiness is a must. Key job responsibilities In this role: • You will harness your business and technical skills to understand business requirements, conduct data analysis and provide actionable data-driven insights and decision support to senior leadership. • You will establish automated processes for large scale data analyses and create new metrics to measure the health of the business, support business strategy and enable the broader team to achieve its goals. • You will drive the development of new data enrichment tools and self-service reporting mechanisms to help scale and optimize the reporting processes across the organization. • You will work with Data Engineers, Product Managers and other stakeholders to find ways to measure complex problems and help quantify business impact of various initiatives. • You will communicate complex analytical results in a clear and easy-to-understand way and will drive towards simple, scalable solutions to difficult problems while considering edge cases and different tradeoffs. About the team Amazon 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. 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. 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. 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 and 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. Basic Qualifications - 5+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience - 3+ years of experience programming to extract, transform and clean large (multi-TB) data sets - 3+ years of experience with data visualization tools such as Tableau, Quicksight, Power BI or similar tools - 3+ years of experience working directly with business stakeholders to translate between data and the business, while presenting and communicating results to senior leadership Preferred Qualifications - Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift - Experience with statistical techniques, forecasting, predictive models and other advanced data science applications 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 $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.