Business Intelligence Engineer , Inbound, GCF ACES
Amazon
Full-time
On-site
Bellevue, Washington, United States
$89,600 - $185,000 USD yearly
At Amazon, we are committed to being the most customer-centric company on earth. The Global Customer Fulfillment (GCF) Organization is comprised of high-powered dynamic teams, which are shaping network execution through the development and application of innovative supply chain management concepts. Our goal is to improve and enhance the Amazon fulfillment network to drive the best customer experience in a reliable and cost-efficient manner. Within GCF ACES, the Inbound operations team is looking for a self-motivated, experienced, and highly curious individual with strong data analytics and visualization skills to join our tech team - Flow Management & Predictions.
A successful candidate will be a self-starter comfortable with ambiguity, with strong attention to detail, an ability to work in a fast-paced, high-energy and ever-changing environment. In this role, you will own the design, development, and management of analytical tools and reporting that support the team's and business's needs. You will need to work with leadership to use data to solve complex problems and drive business decisions. Writing high quality SQL using Amazon's wide variety of querying tools and developing visualizations to easily communicate your findings are critical skills.
The complexity of research and technical skills required for this role will involve development and diving deep into key business metrics, leading large-scale and complex data analyses, writing white papers, supporting AWS based BI infrastructure, and creating interactive visualization solutions.
Key job responsibilities
Develop a deep understanding of Amazon’s inbound supply chain and key tools used in inbound operations and planning
Own the design, development, and maintenance of scalable solutions for ongoing metrics, reports, analyses, dashboards, etc. to support analytical and business needs
Develop and provide analysis of actionable findings from key metrics or problems. This will require data gathering and manipulation, synthesis and modeling, problem solving, and communication of insights and recommendations
Work with product and program managers to build data sets and other products that answer their specific business questions
Collaborate and lead Data Engineers (DEs) and Business Intelligence Engineers (BIEs) to create data pipelines, and automate manual processes using scripting languages such as Python
Interface with technology teams to extract, transform, and load data from a wide variety of data sources
Lead deep dive analysis of business problems, formulate conclusions and recommendations to be presented to senior leadership
Produce written recommendations and insights for key stakeholders that will help shape effective metric development and reporting
- 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
- 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
- Knowledge of advanced skills in Excel as well as any data visualization tools like Tableau or similar BI tools (familiarity with Tableau preferred)
- 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.
A successful candidate will be a self-starter comfortable with ambiguity, with strong attention to detail, an ability to work in a fast-paced, high-energy and ever-changing environment. In this role, you will own the design, development, and management of analytical tools and reporting that support the team's and business's needs. You will need to work with leadership to use data to solve complex problems and drive business decisions. Writing high quality SQL using Amazon's wide variety of querying tools and developing visualizations to easily communicate your findings are critical skills.
The complexity of research and technical skills required for this role will involve development and diving deep into key business metrics, leading large-scale and complex data analyses, writing white papers, supporting AWS based BI infrastructure, and creating interactive visualization solutions.
Key job responsibilities
Develop a deep understanding of Amazon’s inbound supply chain and key tools used in inbound operations and planning
Own the design, development, and maintenance of scalable solutions for ongoing metrics, reports, analyses, dashboards, etc. to support analytical and business needs
Develop and provide analysis of actionable findings from key metrics or problems. This will require data gathering and manipulation, synthesis and modeling, problem solving, and communication of insights and recommendations
Work with product and program managers to build data sets and other products that answer their specific business questions
Collaborate and lead Data Engineers (DEs) and Business Intelligence Engineers (BIEs) to create data pipelines, and automate manual processes using scripting languages such as Python
Interface with technology teams to extract, transform, and load data from a wide variety of data sources
Lead deep dive analysis of business problems, formulate conclusions and recommendations to be presented to senior leadership
Produce written recommendations and insights for key stakeholders that will help shape effective metric development and reporting
- 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
- 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
- Knowledge of advanced skills in Excel as well as any data visualization tools like Tableau or similar BI tools (familiarity with Tableau preferred)
- 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.