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
