Business Intelligence Engineer

Job description

DESCRIPTION

We’re working on the future and it’s still Day 1. Come join us and make history!
In Alexa Voice Shopping, we strive to enhance shopping in everyday life. We build technology that allows customers to instantly order whatever they need, by simply interacting with their Smart Devices such as Echo or Fire TV. Our services allow you to shop, no matter where you are or what you are doing; you can go from 'I want that' to 'that's on the way' in a matter of seconds. We are seeking outstanding Business Intelligence Engineers to model customer preference and help define the innovation roadmap for AlexaVoice Shopping.
The Business Intelligence Engineer will be a key member of the Org, which includes economists, ML scientists, fellow business intelligence and data engineers. This role requires an individual with excellent statistical and analytical abilities, data engineering skills and importantly an uncanny knack and passion for turning qualitative analysis and observations into diagnostics and metrics. The successful candidate will be a self-starter and someone who thrives in a fast-paced and ever-changing environment, driven by a desire to innovate and move fast.

Responsibilities
You know and love working with business intelligence tools, can model multidimensional datasets, and can partner with customers to answer key business questions. You are analytical and creative, and you don’t quit. You will also have the opportunity to display your skills in the following areas:
1. Be a thought leader: Interface with business partners, architect, design, implement, and support BI projects & tools that derive customer shopping insights and shape business decisions
2. Dive Deep, Raise the bar and insist on high standards: Recognize and adopt best practices in analysis and reporting, data integrity, test design, analysis, validation, and documentation
3. Deliver Results: Be inspired by the motto of Customer First, use outstanding business acumen, technical and analytical skills to drive real, actionable results.

PREFERRED QUALIFICATIONS

· Strong active listener with solid written and verbal communication skills
· Advanced knowledge of Oracle BI tools, MySQL, Linux/UNIX
· Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift
· Knowledge and direct experience using business intelligence reporting/visualization tools (Looker, Tableau, MicroStrategy, SSAS Cubes, etc.)
· Knowledge and direct experience of defining and building business and quality metrics for voice experiences

Desired profile

BASIC QUALIFICATIONS

· Bachelor's degree in Math/Statistics/Engineering or other equivalent quantitative discipline
· 5+ years in relevant experience as data scientist, software engineer, business intelligence engineer, or equivalent
· Demonstrated development and application of predictive statistical procedures in languages such as R, SAS, SPS
· Experience data modeling and transformation of large scale data sources using SQL, Hadoop, Spark, Hive, EMR, or other Big Data technologies
· Knowledge of scripting for automation (e.g. Python, Perl, Ruby)
· Ability to work cross-functionally, building and maintaining trust with internal stakeholders