Amazon.com Services LLC
Business Intelligence, Business Intel Engineer, transportation and logistics
BusinessIntelligenceEngineer
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Business Intelligence Engineer at Amazon.com Services LLC. Skills: Business Intelligence, Data Engineering, Analytics. Provide metrics, operational insights, and analytical support. Integrate data from various source systems”
Industry & Context.
Advanced analytical skills; Problem-solving skills
What They're Looking For.
Must Have
Bachelor's degree in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field, 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience, Experience with data visualization using Tableau, Quicksight, or similar tools, Experience writing complex SQL queries, Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling, Experience in data warehouse technical architectures, data modeling, infrastructure components, ETL/ ELT and reporting/analytic tools and environments, data structures and hands-on SQL coding
Nice to Have
Experience working directly with business stakeholders to translate between data and business needs, Experience managing, analyzing and communicating results to senior leadership
What You'll Do.
and analytical support
Integrate data from various source systems
Present data through self-service applications
Identify complex business problems
Recognize opportunities
Implement solutions to improve operations and finance-facing systems
and analyze critical data
Communicate potential discrepancies and/or reporting downtime
Design and develop key performance metrics and indicators
Build innovative data solutions with large-scale systems
Identify high-priority work and projects that maximize results
Solve complex problems that impact company-wide strategic decisions
Automate processes by developing deep-dive tools
Communicate insights in real-time to business teams
Solve problems and implement new solutions
Take detailed requirements from stakeholders
Understand current manual processes and pain points
Identify opportunities to solve problems using technology-driven solutions
Design and implement optimal automation solutions
Respond to ad hoc requests
Provide support as needed
Document all processes
How You'll Work.
Team & Collaboration
Internal end-users; Cross-functional stakeholders; Technical teams; Business customers; Cross-functional data management teams
Full Job Description
The Rapid & Rural Logistics (R2L) team is seeking a Business Intelligence (BI) Engineer to join the Analytics Team. The R2L team, which includes Sub Same Day (SSD), covers a portfolio of high-growth businesses with unique fulfillment and operational capabilities. R2L exists solely to meet the goal of quick, accurate delivery, which is constantly being challenged and changed as we adapt to our customer demands and make improvements. To meet this goal, R2L must remain flexible at all times, adapting to all changes and growth that come our way. As a Business Intelligence (BI) Engineer, your focus will be on providing metrics, operational insights, and other analytical support to stakeholders for the Sub-Same Day (SSD) Delivery business. The Delivery BI team partners closely with Delivery and operations teams to influence the strategic direction of the business, drive operational excellence, and make sound investment and expansion decisions, with the primary goal of continuously improving the customer experience while driving long-term profitability for our portfolio of businesses. We experiment constantly, fail fast, and never stop learning. The ideal candidate will draw upon advanced analytical and problem-solving skills, along with a passion for building solutions for automated operational management. The successful leader of this team will collaborate effectively with internal end-users, cross-functional stakeholders, and technical teams to enable data-driven decision-making. They must be a self-starter, show strong bias for action, be comfortable with ambiguity, and be able to think big and be creative to support a rapidly growing business. They will provide technical and business expertise in integrating data from various source systems and presenting it through an array of self-service applications. We look for candidates who are excellent communicators, inspiring leaders, self-motivated, flexible, hardworking, and who like to have fun. If you are excited about d
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