Business Intelligence Engineer, Workforce Planning and Access - One Medical

Amazon One Medical is revolutionizing healthcare delivery as part of Amazon's commitment to being Earth's most customer-centric company. For over fifteen years, we've provided innovative primary care solutions combining seamless in-office and 24/7 virtual care services, on-site labs, and comprehensive programs for preventive care, chronic care management, common illnesses, and mental health support.

To support workforce planning and access function, 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, Operations and other health teams
- Drive data democratization throughout the organization, enabling others to self-serve their data needs
- 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 will provide aggregated organizational reporting for all of AHS businesses. 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 in 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

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 an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.

USA, WA, Seattle - 99,500.00 - 160,000.00 USD annually