We are looking for a high caliber and tested Business Intelligence Engineer (BIE) to contribute to projects with high exposure to VP and SVP level business decision making support. In this role, you will define scalable processes and frameworks leveraged by multiple cross-functional teams and deep dive into the Pricing subject area of the business. You will apply both business and technical acumen in a fast-paced, ambiguous, and innovative environment. Our ideal teammate possesses a natural curiosity, sharp analytical skills and is excited to pioneer on behalf of customers.
If you enjoy dealing with high ambiguity, complexity and broad scope that will be at the epicenter of our initiative, come join us!
Key job responsibilitiesDesign, develop and maintain scaled, automated, user-friendly systems, reports, and dashboards enabling stakeholders to manage the business and make effective decisions.Work with PMs in understanding the business requirements and implementing solutions to support analytics and reports.Conduct ad hoc data analysis and data quality investigations.Implement training and documentation solutions that enable stakeholders to get the most out of our self-serve reporting tools.Develop and support the analytical technologies that give our customers timely, flexible and structured access to their data.Define, develop and maintain critical business and operational reports reviewed on a weekly, monthly, quarterly, and annual basis.Analyze historical data to extract meaningful insights and learnings from large and complicated data sets, identify trends and support decision making, including written and verbal presentation of results and recommendations.Collaborate with software development teams to implement analytics systems and data structures to support large-scale data analysis and delivery of machine learning models.Understand Amazon's data resources, which to use, how, and when. Minimum Requirements3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience.Experience with data visualization using Tableau, Quicksight, or similar tools.Experience with data modeling, warehousing and building ETL pipelines.Experience in Statistical Analysis packages such as R, SAS and Matlab.Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling.Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift.Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets. 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 $89,600/year in our lowest geographic market up to $185,000/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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