Description The Amazon Web Services (AWS) Partner Management Business Intelligence (BI) team exists to drive data excellence, provides data reporting, visualization, automation, and insights for the AWS Partner Organization (APO). We enable APO’s data driven culture, builds data automation solutions, and accelerates AWS revenue growth and partner profitability. The Amazon Web Services (AWS) Partner Organization (APO), which is part of the AWS Commercial Sector, drives AWS adoption by working with Partners—3rd party businesses, also called acquiring Partners—to either sell AWS products and services indirectly, or integrate businesses with AWS. Our mission is to empower internal APO stakeholders with the data, analytical insights and tools they need to thrive in the rapidly evolving digital landscape. As part of our team, you'll have the opportunity to collaborate with internal stakeholders from the AWS Partner Organization, leveraging cutting-edge technologies and methodologies to help shape the future of business intelligence at AWS. Key job responsibilities - You bring a unique combination of technical, analytical skills and business acumen, and bring them together to shape and guide internal business intelligence product roadmap and promote best technical practices among team members. - You navigate through ambiguity and actively collaborate with technical and business stakeholders to understand the core of the business problem, identify common themes of business problems and deliver best-in-class BI solutions; - You work directly with stakeholders to identify business needs and deliver BI solutions on reporting, analytics, and insights to the business; you help promote source-of-truth concept and drive solutions for data standardization - You create source-of-truth datasets using SQL; you leverage scripting language i.e. Python to create automation and reduce manual processes - You design, develop, and maintain data visualizations using visualization tools such as Amazon Quicksight About the team ABOUT AWS: Diverse Experiences 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 analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience - Experience with data visualization using Tableau, Quicksight, or similar tools - Excellent written and verbal communication with technical and non-technical stakeholders; - Bachelor's degree in Business Analytics, Data Engineering, Computer Science, Information Systems, or related technical field Preferred Qualifications - Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift - Proficient in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets - Master's degree in statistics, data science, or an equivalent quantitative field 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. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. 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.