Amazon.com Services LLC
Business Intelligence, Business Intel Engineer, operations
BusinessIntelligenceEngineerII,SCOT-LongTermPlanningandForecasting
Neural analysis suggests this role is
optimal for Mid candidates.
“Business Intelligence Engineer II, SCOT - Long Term Planning and Forecasting at Amazon.com Services LLC. Skills: Business intelligence, Data engineering, Forecasting, Data visualization. Develop analytical dashboards. Maintain analytical dashboards”
Industry & Context.
Root-cause insights; Deep-dive analyses; Troubleshooting; Resolve issues; Problem solving
What They're Looking For.
Must Have
3+ years analyzing data, 1+ years SQL, 1+ years ETL, 1+ years Oracle, 1+ years processing large datasets, 1+ years statistical analysis, 1+ years automated reporting, Experience with data visualization, Experience with data modeling, Experience building ETL pipelines, Experience in Statistical Analysis packages, Experience using SQL, Scripting experience (Python)
Nice to Have
Experience with AWS solutions, Experience in data mining, Experience using databases, Experience with large-scale datasets, Experience with complex datasets
What You'll Do.
Develop analytical dashboards
Maintain analytical dashboards
Develop data pipelines
Maintain data pipelines
Track forecast performance
Collaborate with scientists
Collaborate with engineers
Collaborate with product managers
Deliver data solutions
Surface root-cause insights
Escalate prioritization decisions
Maintain ETL processes
Build automated reporting mechanisms
Maintain automated reporting mechanisms
Optimize for performance
Optimize for reliability
Leverage generative AI tools
Leverage generative AI techniques
Accelerate insight generation
Automate reporting workflows
Contribute ideas for AI improvements
Conduct deep-dive analyses
Identify opportunities for improvement
Deliver clear findings
Contribute to analyses
Identify data quality issues
Identify data dependencies
Identify data bottlenecks
Escalate systemic problems
Develop project plans
Adopt team best practices
Champion team best practices
Contribute to knowledge-sharing
Participate in hiring loops
Participate in technical assessments
How You'll Work.
Team & Collaboration
Internal stakeholders; External consumers; Senior team members; Science teams; Engineering teams; Team leads; Stakeholders
Communication Scope
Communicate findings
Process & Methodology
Project management, Project plans, Milestone tracking
Full Job Description
Where will Amazon's growth come from next year? In five years? Which product lines are staged to quintuple in size, and which ones are mature? Are we investing enough in our infrastructure, or too much? How will our customers react to changes in prices, or selection, or delivery speed? The SCOT Long-Term Planning and Forecasting (LTPF) team works to answer these key questions. The Supply Chain Optimization Technology (SCOT) team owns Amazon's global inventory planning systems: SCOT decides what, when, where, and how much inventory to buy in order to meet customer needs as well as Amazon's business goals. We do this for millions of items, for hundreds of product lines worth billions of dollars of inventory world-wide. Our systems are built entirely in-house, and represent the forefront of automated large scale supply chain planning and optimization systems.. SCOT LTPF is responsible for long-term forecasting and planning across Topline, Inventory, and Capacity — helping Amazon plan key metrics including ordered units and GMS, inventory units and cost, and FC building capacity and topology (size and location). SCOT LTPF is looking for a Business Intelligence Engineer to support the team. LTPF BI Engineers build and maintain analytical tools supporting Topline, Inventory, and Capacity planning, and engage with internal stakeholders and external consumers of LTPF forecasts to ensure they have timely data in the right context to answer key business questions. The ideal candidate will have experience in leading analytics projects including but not limited to: forecasting, business monitoring, business intelligence and data visualization. The candidate should also have experience mapping analytical solutions to business problems in the most ambiguous environments with a track record of making data easy to consume for end users. This position will require extensive stakeholder and project management. Key job responsibilities - Develop and maintain analytical dashboards, rep
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