Business Intelligence Engineer , Inbound, GCF ACES

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

BASIC QUALIFICATIONS

• 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)

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
28 days ago