Business Intelligence Engineer, Stores Finance Analytics & Insights

+3
+9
United States

+3
+9
United States

À propos

Business Intelligence Engineer, Stores Finance Analytics & Insights Join to apply for the Business Intelligence Engineer, Stores Finance Analytics & Insights role at Amazon Business Intelligence Engineer, Stores Finance Analytics & Insights Join to apply for the Business Intelligence Engineer, Stores Finance Analytics & Insights role at Amazon Get AI-powered advice on this job and more exclusive features. Description Want to be at the forefront of building tools that drive Amazon profitability? If so then Stores Finance Analytics & Insights is the right team for you! Description Want to be at the forefront of building tools that drive Amazon profitability? If so then Stores Finance Analytics & Insights is the right team for you! As a Business Intelligence Engineer, you will work with our Finance and Business stakeholders to create automated and scalable analytical tools that will ultimately be critical in driving the growth and profitability of the business. This includes building the infrastructure for regular reporting on business performance, building insights into various profitability related programs, and deep diving the assumptions behind each program to test our initial hypotheses and assumptions. You will leverage the data to provide key data-driven insights, enable new opportunities, and innovate on behalf of our business customers. Key job responsibilities Own, design, develop, document, and manage scalable solutions for new and ongoing metrics, reports, analyses, and dashboards to support business needs. Generating actionable insights through the development of metrics, dashboards and deep dive analyses. Serve as a technical, business-metrics specialist and insight provider in the organization. Acting as a key interface between our business customers and technical divisions. Basic Qualifications Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling 3+ 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 Preferred Qualifications 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 Experience in Statistical Analysis packages such as R, SAS and Matlab Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, 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 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 $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 . This position will remain posted until filled. Applicants should apply via our internal or external career site. Company - Services LLC Job ID: A2989887 Seniority level Seniority level Not Applicable Employment type Employment type Full-time Job function Job function Strategy/Planning, Analyst, and Information Technology Industries Software Development Referrals increase your chances of interviewing at Amazon by 2x Sign in to set job alerts for Business Intelligence Engineer roles. 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Experts add insights directly into each article, started with the help of AI. #J-18808-Ljbffr

Compétences idéales

AWS
EC2
ETL
NoSQL
Oracle
Python
Redshift
SQL
Tableau

United States

Expérience professionnelle

Data Engineer
Data Analyst
Business Intelligence

Compétences linguistiques

English

Avis pour les utilisateurs

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