As a Business Intelligence Engineer, you will generate insights that will guide feedback to operators and business strategy decisions. Data analysis is at the core Amazon’s culture, and your work will have a direct impact on decision-making and strategy for our organization. You will be gathering operational insights, running statistical analysis, mining data, making recommendations, visualizing data, and helping senior leaders make key business decisions.
You should be enthusiastic about leveraging data to uncover insights and solve business problems for Central Operations stakeholders, by producing end-to-end business intelligence solutions. Such solutions require data querying, data pipelining, and data visualization/dashboard building. You should also be enthusiastic about building deep domain knowledge about Amazon’s business and the fulfillment space. This role requires an individual with excellent analytical abilities as well as business acumen fluency and comfort with technical teams and systems. The successful candidate will be a self-starter comfortable with ambiguity, with strong attention to detail, and enjoys working with large datasets.
Key job responsibilities
• Design, develop, and maintain scaled, automated, user-friendly systems, statistical analysis and prediction, reports, dashboards, etc. that will support the needs of the business
• Apply deep analytic and business intelligence skills to extract meaningful insights and learning from large and complicated data sets
• Be hands-on with ETL to build data pipelines to support automated reporting
• Serve as liaison between the business and technical teams to achieve the goal of providing actionable insights into current business performance, and ad hoc investigations to support future improvements or innovations. This will require data gathering and manipulation, problem solving, and communication of insights and recommendations
• Build various data visualizations to tell the story of business trends, patterns, and outliers through rich visualizations
• Recognize and adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation
About the team
Amazon's Quantitative Business Intelligence Tools (QuBIT) Team owns a myriad of reporting-focused software products and services, acting as the centralized business intelligence team for Central Operations organization. QuBIT believes that a positive, balanced, supportive, and inclusive workplace is key to your success, and provides active opportunities to learn and grow in your current role.
BASIC QUALIFICATIONS
- Experience with data querying or modeling with SQL
- 2+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
- Experience with building and maintain basic data artifacts (e.g. ETL, data models, queries)
- Experience with data visualization using Tableau, Quicksight, or similar tools
PREFERRED QUALIFICATIONS
- Experience with scripting language (e.g., Python, Java, or R)
- Experience with statistical analysis, co-relation analysis
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.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $74,100/year in our lowest geographic market up to $165,600/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.