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Job Location: Remote
· Bachelor’s degree in Computer Science, Engineering, Math, Finance, Statistics or a related discipline
· 3+ years hands-on analytics work experience, with proven quantitative orientation.
· Advanced skills in SQL, ETL, Data Warehouse solutions and/or databases
· Experience building measures and metrics, and developing reporting solutions
·Experience to structure complex analysis and perform the analysis to drive insights
· Fluency with statistical analytics and programming languages such as R, Python, Ruby, etc
The Amazon Web Services (AWS) Identity team is building and operating the identity, authentication, and authorization stack for the AWS cloud. In our quest we are pushing the technology boundaries in building a trusted and highly reliable architecture that provides the controls for massively scalable and globally distributed systems that exist both in AWS as well as in our AWS customers services.
Key job responsibilities
We are hiring a Business Intelligence Engineer (BIE) to help us accelerate our efforts in delivering delightful Identity capabilities. This person will build new business intelligence solutions end-to-end. The ideal candidate will be passionate about working with big data sets and have the expertise to utilize these datasets to answer business questions and drive growth.
The primary responsibilities of this role include:
- Design, develop and maintain scalable, automated, user-friendly reports and dashboards that will support our analytical and business needs.
- Use analytical and statistical rigor to solve complex problems and drive business decisions.
- Write high quality SQL code to retrieve and analyze data from database tables (ex. Redshift), and learn and understand a broad range of Amazon’s data resources and know how, when, and which to use and which not to use.
- Work closely with product stakeholders and partners in driving product decisions by being the voice of the customers, through data.
About the team
Work/Life Balance
Our team puts a high value on work-live 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. Our senior members enjoy one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded engineer and enable them to take on more complex tasks in the future.
· Master’s degree or higher in Statistics, Data Science, or an equivalent quantitative field
· 3+ years of industry experience working as a BIE or related specialty
· Experience communicating results and business impact of analytical deep dives to senior leadership
· Experience working as a BIE in a technology company
· Effective written and verbal communication skills
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $99,500/year in our lowest geographical market, up to $185,000/year in our highest geographical market. Pay is based on market location and may vary depending on job-related knowledge, skills, and experience. A sign-on payment and restricted stock units may be provided as part of the compensation package, in addition to a full range of medical, financial, and/or other benefits, dependent on the position offered. Applicants should apply via our internal or external careers site.
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.
Pursuant to the Los Angeles 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.
Workers in New York City who perform in-person work or interact with the public in the course of business must show proof they have been fully vaccinated against COVID or request and receive approval for a reasonable accommodation, including medical or religious accommodation.
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