Passionate about books and reading The Author team within the Books Content Demand helps readers find the books and authors through relevant content and author 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 resultsoriented selfmotivated and customerfocused 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 selfstarter comfortable with ambiguity able to think big and be creative (while paying careful attention to detail) and enjoys working in a fastpaced 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 selfservice 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 adhoc requests and projects as well as ongoing reporting.
* Continually improve ongoing reporting and analysis processes automating or simplifying selfservice 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
10 years of professional or military experience
5 years of SQL experience
Experience programming to extract transform and clean large (multiTB) 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
Experience working directly with business stakeholders to translate between data and business needs
Experience managing analyzing and communicating results to senior leadership
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