DESCRIPTION
Are you interested in diving deep into data and engineering the metrics model that drives continuous improvement for Amazon’s global delivery operations? Do you have solid problem solving abilities, metrics-driven decision making and want to solve problems with solutions that will meet the growing worldwide need? Then Middle Mile Technology is the team for you. We are part of building the world's fastest, most reliable, and lowest cost transportation network that provides customers the most control and are looking for a top notch Senior Business Intelligence Engineer.
As an Amazon Senior Business Intelligence Engineer you will be working in one of the world's largest and most complex data warehouse environments. You should have deep expertise in the design, creation, management, and business use of datasets at scale. You should have excellent business and communication skills to be able to work with business owners to develop and define key business questions, and to build data sets that answer those questions. You should excel at designing, implementing, and operating stable, scalable, low cost solutions to flow data from production systems into the data warehouse and into end-user facing applications. You should be able to work with business customers in understanding the business requirements and implementing reporting solutions. Above all you should be passionate about bringing large datasets together to answer business questions and drive change.
Key job responsibilities
Design automated solutions for recurrent reporting (daily/weekly/monthly).
Design automated processes for in-depth analysis.
Design automated data control processes.
Collaborate with the software development teams to build solutions.
Learn, publish, analyze and improve management information dashboards, operational business metrics decks and key performance indicators.
Improve tools and processes, scale existing solutions, and create new solutions as required based on stakeholder needs.
Participate in annual budgeting and forecasting efforts.
Perform monthly variance analysis and identify opportunities.
We are open to hiring candidates to work out of one of the following locations:
Bellevue, WA, USA
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 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
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.
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