Amazon
Business Intelligence Engineer, Amazon Health Science and Analytics
Amazon, Seattle, Washington, us, 98127
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 collaboratively 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.
Key job responsibilitiesDefine 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 a 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 a 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 lifeThe 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 span 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.
BASIC QUALIFICATIONS3+ 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 QUALIFICATIONSExperience 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.#J-18808-Ljbffr
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 collaboratively 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.
Key job responsibilitiesDefine 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 a 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 a 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 lifeThe 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 span 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.
BASIC QUALIFICATIONS3+ 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 QUALIFICATIONSExperience 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.#J-18808-Ljbffr