Description The Health Storefront Tech (HST) team is passionately working to build a best-in-class healthcare product designed to make high-quality healthcare easy to access. The HST Analytics and Data Engineering team (HADES)is comprised of Business Intelligence and Data Engineers that partner closely with the Data Platform SDE team to build and manage analytics infrastructure, reporting datamart, self-serve analytics tools and reporting solutions. We are seeking a talented Business Intelligence Engineer to support HST Leadership, Engineering, Science and Traffic teams. The HADES team manages central business review reporting for HST and Prime One Medical organizations and partners throughout the organization and across health and data teams to collaborative deliver on cross-cutting initiatives. This role requires deep analytics and business reporting expertise, and gives you the opportunity to engineer systems and build reliable and secure data reporting for healthcare services at Amazon. You have an eye towards quality, and insist on the highest standards. You are motivated to tackle ambiguous situations with technologies to rapidly solve problems. You are a team player, contribute to the execution of team objectives, and leverage technical knowledge and engineering best practices to rapidly deliver solutions that have a broad business impact. \#everydaybetter Key job responsibilities * Define the data elements to enable analytical and reporting capabilities, and work cross-functionally with other business intelligence teams * Own the design, development, and maintenance of the data models that support ongoing metrics, reports, and analyses used to drive key business decisions * Use expertise in qualitative and quantitative analysis to deliver actionable insights to stakeholders * Use business intelligence and visualization software (e.g., Quicksight.) to develop dashboards that are used by senior leadership, HST and other health teams * Drive data democratization throughout the organization, enabling others to self-serve their data needs. Empower technical and non-technical, internal customers to drive their own analytics and reporting (self-serve reporting) and support ad-hoc reporting when needed. * Develop deep understanding of vast data sources and know exactly how, when, and which data to use to solve particular business problems. * Design and influence operational best practices for reporting and analytics to enable the team to scale as we grow * Work with Product Managers, Engineering, Finance, Marketing teams and other stakeholders on need basis to support their new analytics requirements. * Manage numerous requests concurrently and strategically, prioritizing when necessary. * Partner/collaborate across teams/roles to deliver results. A day in the life The successful candidate will be a self-starter comfortable with ambiguity, with strong attention to detail, and the ability to work in a fast-paced and ever-changing environment. You will help build analytics in an ambiguous space and help the organization implement secure reporting infrastructure that safely handles personal health information (PHI). You will partner cross-organizationally with all health teams in AHS (One Medical, Amazon Pharmacy, Amazon Clinic) to develop a traffic and marketing data mart that can provide aggregated organizational reporting for marketing and traffic initiatives that spans all Amazon Health businesses. In addition to strong data analytics skills, you need proven experience and strong business acumen to understand complex business and form analytics framework in a highly ambiguous environment. You must be comfortable working at both the strategic level (using customer insights and data to generate innovative ideas) and at the tactical level (building dashboards and monthly reports to measure business health). You must also possess strong project management and influencing skills, and will work cross-functionally with other teams to achieve success. About the team Work/Life Balance Our team puts a high value on work-life balance. It isn’t about how many hours you spend at home or at work; it’s about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives. Mentorship & Career Growth Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded employee and enable them to take on more complex tasks in the future. Inclusion and Diversity Our team is diverse! We drive towards an inclusive culture and work environment. We are intentional about attracting, developing, and retaining amazing talent from diverse backgrounds. Team members are active in Amazon’s 10+ affinity groups, sometimes known as employee resource groups, which bring employees together across businesses and locations around the world. These range from groups such as the Black Employee Network, Latinos at Amazon, Indigenous at Amazon, Families at Amazon, Amazon Women and Engineering, LGBTQ+, Warriors at Amazon (Military), Amazon People With Disabilities, and more. 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 pipelines - Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling - Bachelor's degree in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field - Strong verbal/written communication & data presentation skills, including an ability to effectively communicate with both business and technical teams and develop clear, thoughtful, and comprehensive analyses. Preferred 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 - Master's degree in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field - 5+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience 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 $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.