Sr. Business Intelligence Engineer, Comms Experience Insights

The vision for Alexa is to be the world’s best personal assistant. Such an assistant will play a vital role in managing the communication lives of customers, from drafting communications to coordinating with people on behalf of customers. At Alexa Communications, we’re leveraging Generative AI to bring this assistant to life.

If you’re passionate about building magical experiences for customers, while solving hard, complex technical problems, then this role is for you. You will operate at the intersection of large language models, real time communications, voice and graphical user interfaces, and mixed reality, to deliver cutting edge features for end customers.

Come join us to invent the future of how millions of customers will communicate with and through their virtual AI assistants.

Key job responsibilities
The Comms Experience Insights (CXI) Business Intelligence team is looking for an experienced, self-driven, analytical, and strategic Business Intelligence Engineer. We are looking for an individual who is passionate about tying together huge amounts of data to answer complex stakeholder questions. You should have deep expertise in creation and management of datasets and the proven ability to translate the data into meaningful insights through collaboration with Data Engineers (DEs) and Business Analysts (BAs). You should also have extensive experience in metric creation and explaining how those metrics impact a business. In this role, you will have ownership of end-to-end development of business intelligence solutions and you’ll play an integral role in strategic decision-making.

The right candidate will possess excellent business and communication skills, be able to work with business owners to develop and define key business questions and be able to collaborate with DEs and BAs to analyze data that will answer those questions. You should have a solid understanding of how to build efficient and scalable reporting solutions, dashboards and data models, and the desire to learn and implement new technologies and services to further a scalable, self-service model.

Basic Qualifications

- 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
- 10+ years of professional or military experience

Preferred Qualifications

- Experience working directly with business stakeholders to translate between data and business needs
- Experience managing, analyzing and communicating results to senior leadership
- Bachelor’s degree in Engineering, Computer Science, MIS, Mathematics, Statistics, related technical field, or equivalent.

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, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $117,300/year in our lowest geographic market up to $202,800/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.