ADCI
Project/Program/Product Management--Non-Tech, Business Intel Engineer, transportation and logistics
BusinessIntelEngineer,AOP
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Business Intel Engineer, AOP at ADCI. Skills: Business intelligence, Analytics engineering, Data analysis. Apply multi-domain/process expertise. Own end to end roadmap”
What You'll Achieve.
Streamline operations process; Plug identified gaps; Improve network efficiency; Reduce defects
Industry & Context.
Identify problems; Implement solutions; Detect outages; Prevent outages; Prioritize projects; Make sound judgments; Improve customer experience; Get right things done; Identify gaps; Analyze data; Analyze metrics; Ambiguous analyses; Drive to heart of problem; Identify root causes
What They're Looking For.
Must Have
2+ years analyzing data, Redshift experience, Oracle experience, NoSQL experience, Tableau experience, Quicksight experience, Excel experience, MicroStrategy experience, PowerBI experience, Statistical methods experience, Python scripting language experience, Java scripting language experience, R scripting language experience
Nice to Have
Master's degree, Advanced technical degree, Knowledge of data modeling, Knowledge of data pipeline design, Experience with statistical analysis, Experience with co-relation analysis
What You'll Do.
Apply multi-domain/process expertise
Own end to end roadmap
Translate business problem statements
Define analytical review
Vet analytical approach
Write queries for clients
Lead work with data engineering
Pull data using efficient query development
Pull data from multiple sources
Manage timeline and deliverables
Provide program communications
Communicate roadblocks
Represent team on analytical projects
Communicate across teams
Solve ambiguous analyses
Handle large data sets
Derive recommendations from analysis
Change existing processes
Understand test and control basics
Provide insights through statistical measures
Identify optimal communication mechanisms
Communicate complex analytical insights
Communicate business callouts
How You'll Work.
Team & Collaboration
Liaise with relevant teams; Work with stakeholders; Interactions in the team; Team on analytical projects; Communicate across teams; Collaboration with operations teams
Communication Scope
Verbal communication; Written communication; Stakeholder communication; Program communication; Cross-team communication
Process & Methodology
Roadmap ownership, Timeline management, Deliverable management
Full Job Description
Amazon Transportation team is looking for an innovative, hands-on and customer-centric Business Analyst for Analytics team. Candidate must be detail oriented, have superior verbal and written communication skills, organizational skills, excellent technical skills and should be able to juggle multiple tasks at once. Candidate must be able to identify problems before they happen and implement solutions that detect and prevent outages. The candidate must be able to accurately prioritize projects, make sound judgments, work to improve the customer experience and get the right things done. This job requires you to constantly hit the ground running and have the ability to learn quickly. Primary responsibilities include defining the problem and building analytical frameworks to help the operations to streamline the process, identifying gaps in the existing process by analyzing data and liaising with relevant team(s) to plug it and analyzing data and metrics and sharing update with the internal teams. Key job responsibilities 1) Apply multi-domain/process expertise in day to day activities and own end to end roadmap. 2) Translate complex or ambiguous business problem statements into analysis requirements and maintain high bar throughout the execution. 3) Define analytical approach; review and vet analytical approach with stakeholders. 4) Proactively and independently work with stakeholders to construct use cases and associated standardized outputs 5) Scale data processes and reports; write queries that clients can update themselves; lead work with data engineering for full-scale automation 6) Have a working knowledge of the data available or needed by the wider business for more complex or comparative analysis 7) Work with a variety of data sources and Pull data using efficient query development that requires less post processing (e.g., Window functions, virt usage) 8) When needed, pull data from multiple similar sources to triangulate on data fidelity 9) Actively manage th
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