Job ID: 3004147 | Amazon Web Services Canada, Inc.
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Amazon Web Services (AWS) is one of Amazon’s fastest growing businesses. It serves millions of customers, from startups to enterprises, in more than 190 countries and powers the developers who are building the next generation of global industry leaders. AWS runs a globally distributed environment, operating at massive levels of scale.
The AWS Identity Resource Management team is looking for a Business Intelligence Engineer to join us in our mission of improving adoption of AWS Identity services. You will be responsible for the design of the end-to-end data flow and will work closely with product managers, technical program managers, and software engineering teams to drive data analysis, attribution, creation and reporting of business metrics. If you love working with huge data sets and delivering the insights you discover through business intelligence analysis and reporting, you will be challenged, have fun, and make history improving adoption of AWS Identity services.
Key job responsibilities
This role will solve the problem of correlating business and service metrics, and define the ways to measure the impact of adoption of AWS Identity services. It’s an ambiguous problem with high growth potential and wide influence. The insights you produce will influence product strategy across our organization and help shape the future of AWS
A day in the life
As a Senior BIE in AWS Resource Management, you will:
Collect, analyze, and share data to help product, marketing and business development teams drive improvement in key business metrics and customer experience
Propose and prioritize changes to reporting, create additional metrics and define processes based on customer requirements
Work closely with business teams to create ad-hoc reports to support business decisions and project work
Identify and implement new capabilities and best practices to develop and improve automated data analysis processes
About the team
AWS Global Services
AWS Global Services includes experts from across AWS who help our customers design, build, operate, and secure their cloud environments. Customers innovate with AWS Professional Services, upskill with AWS Training and Certification, optimize with AWS Support and Managed Services, and meet objectives with AWS Security Assurance Services. Our expertise and emerging technologies include AWS Partners, AWS Sovereign Cloud, AWS International Product, and the Generative AI Innovation Center. You’ll join a diverse team of technical experts in dozens of countries who help customers achieve more with the AWS cloud.
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.
Inclusive Team Culture
AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do.
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.
- 10+ years of professional or military experience
- Experience programming to extract, transform and clean large (multi-TB) data sets
- Experience with theory and practice of design of experiments and statistical analysis of results
- Experience in scripting for automation (e.g. Python) and advanced SQL skills.
- Experience with theory and practice of information retrieval, data science, machine learning and data mining
- Experience working directly with business stakeholders to translate between data and business needs
- Experience managing, analyzing and communicating results to senior leadership
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 for this position ranges from $97,400/year up to $162,600/year. Salary is based on a number of factors 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. Applicants should apply via our internal or external career site.