Amazon
Join our dynamic centralized data engineering and analytics team at Amazon, where we strive to enhance reporting efficiency and drive data-centric decision making for North America Stores. We are on the lookout for an experienced Business Intelligence Engineer (BIE - II) to be a pivotal contributor who develops analytics and insights that directly enrich the customer experience on Amazon.
In this exciting role, you will:
Design, develop, and maintain:
Scalable, automated, and user-friendly systems, reports, and dashboards supporting key business functions. Collaborate with:
Cross-functional teams, including operations, business stakeholders, data science, and technology, to understand their analytical and reporting needs. Define and implement:
Key performance indicators (KPIs), streamline reporting processes, and drive enhancements in data infrastructure. Uncover insights:
Utilize strong analytical skills to analyze large and complex datasets, providing strategic insights to improve business performance and productivity. Support senior leadership:
Conduct deep-dives and develop data-driven recommendations that enhance team effectiveness and customer outcomes. Mentor and share:
Inspire best practices among peers and demonstrate your readiness for broader responsibilities in the team. To thrive in this role, you should possess the following qualifications: 3+ years of experience in analyzing and interpreting data with tools like Redshift, Oracle, NoSQL, etc. Proficiency in data visualization using Tableau, Quicksight, or similar tools. Experience in data modeling, warehousing, and developing ETL pipelines. Familiarity with statistical analysis packages such as R, SAS, and Matlab. Strong SQL skills to extract data from databases or data warehouses, along with scripting experience in Python to process data for modeling. Preferred Qualifications: Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift. Background in data mining and ETL processes, working with large-scale, complex datasets in a business environment. This position's salary ranges from $89,600/year in our lowest geographic market up to $185,000/year in our highest geographic market, influenced by various factors including job-related knowledge, skills, and experience. Join us at Amazon, where we celebrate diversity and empower our employees to achieve their best. If you have a disability and require workplace accommodation during the application and hiring process, please inform your Recruiting Partner. This position will remain posted until filled. Location: Amazon.com Services LLC (specific address not listed).
Scalable, automated, and user-friendly systems, reports, and dashboards supporting key business functions. Collaborate with:
Cross-functional teams, including operations, business stakeholders, data science, and technology, to understand their analytical and reporting needs. Define and implement:
Key performance indicators (KPIs), streamline reporting processes, and drive enhancements in data infrastructure. Uncover insights:
Utilize strong analytical skills to analyze large and complex datasets, providing strategic insights to improve business performance and productivity. Support senior leadership:
Conduct deep-dives and develop data-driven recommendations that enhance team effectiveness and customer outcomes. Mentor and share:
Inspire best practices among peers and demonstrate your readiness for broader responsibilities in the team. To thrive in this role, you should possess the following qualifications: 3+ years of experience in analyzing and interpreting data with tools like Redshift, Oracle, NoSQL, etc. Proficiency in data visualization using Tableau, Quicksight, or similar tools. Experience in data modeling, warehousing, and developing ETL pipelines. Familiarity with statistical analysis packages such as R, SAS, and Matlab. Strong SQL skills to extract data from databases or data warehouses, along with scripting experience in Python to process data for modeling. Preferred Qualifications: Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift. Background in data mining and ETL processes, working with large-scale, complex datasets in a business environment. This position's salary ranges from $89,600/year in our lowest geographic market up to $185,000/year in our highest geographic market, influenced by various factors including job-related knowledge, skills, and experience. Join us at Amazon, where we celebrate diversity and empower our employees to achieve their best. If you have a disability and require workplace accommodation during the application and hiring process, please inform your Recruiting Partner. This position will remain posted until filled. Location: Amazon.com Services LLC (specific address not listed).