Sr. BIE, Discovery & Recommendations Experience
Apply NowCompany: Amazon
Location: Toronto, ON M4E 3Y1
Description:
Passionate about books and reading? The Discovery & Recommendations Experience team helps customers find books they love through relevant content recommendations and innovative shopping experiences. We set audacious goals and are looking for people who can help us reach and exceed them. We are looking for an analytical, results-oriented, self-motivated, and customer-focused Business Intelligence Engineer to build critical data pipelines and analytics tools that will help us transform the way we engage with readers and help them find their next book.
The ideal candidate will have excellent statistical and analytical abilities, business acumen and judgment, curiosity and strong technical skills. They are a self-starter, comfortable with ambiguity, able to think big and be creative (while paying careful attention to detail), and enjoys working in a fast-paced dynamic environment. To be successful in this role, you should have broad skills in database design, be comfortable dealing with large and complex data sets, have experience building self-service dashboards and using visualization tools, while always applying analytical rigor to solve business problems.
Key job responsibilities
* Own the design, development, and maintenance of datasets, ongoing metrics, analyses and dashboards to drive key business decisions.
* Develop queries and visualizations for ad-hoc requests and projects, as well as ongoing reporting.
* Continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for customers.
*Use analytical and statistical rigor to identify performance gaps and opportunities for optimization.
*Provide input and recommendations on technical issues to data engineering and software engineering teams
* Promote best practices in ETL and mentor your team
BASIC QUALIFICATIONS
- 10+ years of professional or military experience
- 5+ years of SQL 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 with AWS technologies
- 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
PREFERRED QUALIFICATIONS
- Experience working directly with business stakeholders to translate between data and business needs
- Experience managing, analyzing and communicating results to senior leadership
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, disability, age, 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 ideal candidate will have excellent statistical and analytical abilities, business acumen and judgment, curiosity and strong technical skills. They are a self-starter, comfortable with ambiguity, able to think big and be creative (while paying careful attention to detail), and enjoys working in a fast-paced dynamic environment. To be successful in this role, you should have broad skills in database design, be comfortable dealing with large and complex data sets, have experience building self-service dashboards and using visualization tools, while always applying analytical rigor to solve business problems.
Key job responsibilities
* Own the design, development, and maintenance of datasets, ongoing metrics, analyses and dashboards to drive key business decisions.
* Develop queries and visualizations for ad-hoc requests and projects, as well as ongoing reporting.
* Continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for customers.
*Use analytical and statistical rigor to identify performance gaps and opportunities for optimization.
*Provide input and recommendations on technical issues to data engineering and software engineering teams
* Promote best practices in ETL and mentor your team
BASIC QUALIFICATIONS
- 10+ years of professional or military experience
- 5+ years of SQL 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 with AWS technologies
- 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
PREFERRED QUALIFICATIONS
- Experience working directly with business stakeholders to translate between data and business needs
- Experience managing, analyzing and communicating results to senior leadership
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, disability, age, 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.