The Rapid & Rural Logistics (R2L) team is seeking a Business Intelligence (BI) Engineer to join the Automation Team. The R2L team that includes rush service and super rural delivery covers a portfolio of highgrowth businesses with unique fulfillment and operational capabilities such as Sub Same Day (SSD) Rural Super Rural (RSR) and Amazon Today. R2L exists solely to meet the goal of quick accurate delivery and this is constantly being challenged and changed adapting to our customer demands and improved. To meet this goal R2L must remain flexible at all times adapting with all of the changes and growth that comes our way. As a Business Intelligence (BI) Engineer your focus will be on process automation operational insight and other analytical support to stakeholders for the SubSame Day (SSD)Rural Super Rural (RSR) and Amazon Today(AT) Delivery business. The Automation team partner closely with Delivery and the operations teams to automate Program Manager manual process.
The ideal candidate will draw upon advanced analytical problem solving skills and a passion for building solution towards automated operational management. The successful leader of this team will collaborate effectively with internal endusers crossfunctional stakeholders and technical teams to drive for automation of our operational processes for future innovation. They must be a selfstarter comfortable with ambiguity and able to think big and be creative to support a rapidly growing business. Your will create solution to automate Program Manager day to day task or process using combination of dashboard macros scripts and SQL. We look for candidates who are excellent communicators inspiring leaders selfmotivated flexible hardworking and who like to have fun.
Key job responsibilities
The successful candidate is a seasoned data professional with a strong bias for action Proficiency with data visualization tools like QuickSight and Tableau data modeling ETL (Extract Transform Load) SQL and scripting skills.
Own the design and development of projects to drive key business decisions. A typical day in this role provides an opportunity to build innovative data solutions with largescale systems identify highpriority work and projects that maximize results for key stakeholders and solve complex problems that impact companywide strategic decisions. Further you will help automate processes by developing deepdive tools and dashboards to communicate these insights to the business teams. Successful members of this team collaborate effectively with business customers and crossfunctional data management teams to solve problems and implement new solutions.
In this role you will:
Understand business problem requirements
Identify opportunities for automation
Implement solutions to enhance operations
facing systems processes and tools
A day in the life
Take detailed requirements from stakeholders to deeply understand their current manual processes and pain points
Think creatively to identify opportunities to solve problems using technologydriven solutions
Design and implement the optimal automation solutions to address stakeholder needs
Respond to adhoc requests and provide support as needed
Thoroughly document all processes solutions and learnings to ensure knowledge capture and sharing
Documentation
About the team
The Rapid and Rural Logistics team manages highgrowth specialty fulfillment operations focused on fast accurate delivery of unique products. The team needs agile selfdirected individuals with a strong bias for action. The ideal candidate will balance technical expertise in ETL visualization and scripting with strong stakeholder skills. Youll work closely with teams to deeply understand their needs then design and deliver automated solutions driving key decisions and operational improvements. Speed flexibility and autonomous decisions are crucial. Bonus qualifications include Python proficiency for data tasks and AWS experience for implementing robust scalable solutions complementing the core role requirements.
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 using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
Experience with AWS solutions such as EC2 DynamoDB S3 and Redshift
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Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $89600/year in our lowest geographic market up to $185000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on jobrelated knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity signon 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.