Smart Shopping Experience (SSE) has a vision to embed a data culture deeply in our IES Shopping Experience organization, fostering invention through insights, and building a robust data architecture to support business needs. We spin the insights flywheel by growing a pool of bar-raisers and diverse data professionals, which empowers us to continuously enhance our data capabilities, holistically covering disciplines of Data Engineering, Business Intelligence, Analytics, and Machine Learning.<br/><br/>We are looking for a candidate that demonstrated success working cross-functionally across internal and external teams. This candidate must have a track record of churning out actionable insights and make data backed recommendations that directly impact organizational strategic decisions and priorities. Being able to thrive in an ambiguous, fast-moving environment and prioritizing work is essential, as is a mind for innovation and learning through new technologies. This role provides an opportunity to develop original ideas, approaches, and solutions in a competitive and ever-changing business climate.<br/><br/>Key job responsibilities<br/>Key job responsibilities<br/><br/> Conduct deep dive analyses of business problem statements and formulate conclusions and recommendations to leadership<br/> Share written recommendations and insights for key stakeholders that will help shape organizational strategic decisions and priorities<br/> Contribute to the design, implementation, and delivery of BI solutions for complex and ambiguous problems<br/> Simplify and automate reporting, audits, and other data-driven activities<br/> Partner with other BIEs to enhance data infrastructure, data availability, and broad access to customer insights<br/> Develop and drive best practices in data integrity, consistency, analysis, validations, and documentation<br/> Learn new technology and techniques to meaningfully support internal stakeholders and process innovation

Basic qualifications

- 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience<br/>- 2+ years of Tableau Desktop, Quicksight or other relevant data visualization software experience<br/>- Bachelor's degree or above in business administration, finance, economics, computer science, data science, engineering, or other related field, or 2+ years of Amazon RME (BB/3P) Full Time Exempt experience<br/>- Experience with data visualization using Tableau, Quicksight, or similar tools<br/>- Experience with data modeling, warehousing and building ETL pipelines<br/>- Experience in Statistical Analysis packages such as R, SAS and Matlab<br/>- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling<br/>- Experience using SQL (Structured Query Language) to pull data from a database or data warehouse<br/>- Experience using Python scripting to process data for modeling

Preferred qualifications

- Master's degree or above in BI, finance, engineering, statistics, computer science, mathematics or equivalent quantitative field<br/>- Knowledge of Microsoft Excel at an advanced level, including: pivot tables, macros, index/match, vlookup, VBA, data links, etc.<br/>- Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift<br/>- Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets<br/>- Experience developing and presenting recommendations of new metrics allowing better understanding of the performance of the business<br/><br/>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 <a href="https://amazon.jobs/content/en/how-we-hire/accommodations">https://amazon.jobs/content/en/how-we-hire/accommodations</a> for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.