Come join Amazon Key for Business team and help drive the transformation of our customer delivery experience at scale. Key for Business, our patented building access technology, supports Amazon Last Mile in the US.
We are actively looking for a Business Intelligence Engineer to join our start-up team to help inform the direction of Key for Business through data, at scale.
Successful candidates will be comfortable creating and optimizing table structures, identifying KPIs that drive the business, generating reports for those KPIs that are consumed across the Key for Business organization, analyzing data to inform strategic and tactical initiatives, and writing up the findings from analyses for less-technical audiences.
Strong SQL (any implementation) is a must. Scripting skills, and background in operations is extremely valuable. This is a highly visible role that partners with business, product management, operations, and the technical team.
Key job responsibilities
- Design, implement, and support a platform providing ad hoc access to large datasets
- Manipulate / mine data from database tables (ex. Redshift, MySQL, Oracle) using SQL and ETL
- Manipulate / mine data from log files by writing scripts (ex. PERL, Python, UNIX)
- Develop analytical tools : deep-dive tools, UIs, metrics, and dashboards
- Perform deep-dives and root cause analysis to answer business questions
- Work with cross functional stakeholders in defining the source of truth and obsessively making sure the data fidelity is high
- Effectively communicate (written and verbal) solutions and methodologies to senior leadership
- Work with engineering teams to enable the appropriate capture and storage of data
- Complete ad hoc data retrieval and analysis
- Monitor existing metrics, develop and propose new metrics, and identify new, actionable risk signals
We are open to hiring candidates to work out of one of the following locations :
Austin, TX, USA Seattle, WA, USA Sunnyvale, CA, USA
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
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