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. Provide operational insights”
What You'll Achieve.
Improve operations; Improve finance-facing systems; Improve customer experience; Drive long-term profitability; Maximize results for stakeholders
Industry & Context.
Advanced analytical skills; Problem-solving skills; Root cause analysis
What They're Looking For.
Must Have
3+ years analyzing data, 1+ years SQL, 1+ years ETL, 1+ years Oracle experience, 1+ years processing large datasets, 1+ years statistical analysis, 1+ years automated reporting, Experience with data visualization, Experience with data modeling, Experience with warehousing, Experience building ETL pipelines, Experience using SQL, Scripting experience Python
Nice to Have
Experience with AWS solutions, Experience in data mining, Experience using databases
What You'll Do.
Provide operational insights
Provide analytical support
Integrate data from source systems
Present data through self-service applications
Identify complex business problems
Recognize opportunities
Extract critical data
Integrate critical data
Analyze critical data
Communicate discrepancies
Communicate reporting downtime
Design key performance metrics
Develop key performance indicators
Build innovative data solutions
Identify high-priority work
Identify high-priority projects
Solve complex problems
Develop deep-dive tools
Communicate insights in real-time
Implement new solutions
Take detailed requirements
Understand manual processes
Understand pain points
Identify opportunities
Solve problems using technology
Design automation solutions
Implement automation solutions
Respond to ad hoc requests
How You'll Work.
Team & Collaboration
Partner with operations teams; Collaborate with internal end-users; Collaborate with cross-functional stakeholders; Collaborate with technical teams; Collaborate with business customers; Collaborate with data management teams
Communication Scope
Communicate discrepancies; Communicate reporting downtime; Clearly communicate
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) OpX/OI business. The BI team partners closely with 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 data, are results-oriente
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