ACES Analyst, ATS

The Analyst role within ATS ACES (Amazon Customer Excellence System) organization is responsible for converting data into actionable business insights that drive continuous improvement initiatives. This role serves as an analysis expert who leverages various data platforms and analytical tools to provide timely meaningful and consumable information that supports operational excellence and process improvement across the organization.

Key job responsibilities
Data Analysis & Insights
Convert data into actionable business insights through advanced analytical techniques
Translate business problem statements into clear analysis requirements and data specifications
Conduct quantitative examination of key process indicators to identify opportunities for process improvement
Perform root cause analysis using statistical methods and Lean Six Sigma tools
Extract insights and formulate recommendations that impact processes teams or departments
Data Acquisition & Management
Write efficient SQL queries to extract and process data from various sources
Work with structured data in traditional data storage environments and non-traditional sources
Ensure data quality through cross-checking and validation against available sources
Convert raw data into analysis-ready formats through descriptive statistics aggregations and pivots
Reporting & Visualization
Build and maintain reports dashboards and metrics using tools like QuickSight Tableau or Excel
Create appropriate charts and visualizations to effectively communicate findings
Implement data visualization and communication tools (metrics dashboards decks flashes)
Deliver regular reporting with high quality and easily digestible formats
Stakeholder Communication & Influence
Communicate analysis findings and business implications effectively to stakeholders
Work with business stakeholders to understand the value of analysis and drive consensus
Provide visibility and updates on project timelines and deliverables
Present deep dives and narratives that influence business direction
Project Management
Manage expectations and prioritize workload effectively
Facilitate execution of ACES strategy through local management and support teams
Oversee segments of site project portfolios assisting project managers with execution
Audit completed projects to verify sustained impact and partner with Finance to validate results
Continuous Improvement Support
Support ACES projects using Lean Six Sigma methodologies and tools
Provide process knowledge and data collection support for improvement initiatives
Help teams identify improvement areas and quantify benefits from effort/labor time cost cycle time and defect reduction perspectives
Drive culture of innovation and continuous improvement within teams

- Bachelors degree or equivalent in a quantitative field (engineering economics math and statistics) business or equivalent
- 3 years of equivalent experience
- Knowledge of SQL/Python/R scripting MS Excel table joins and aggregate analytical functions
- Knowledge of Excel at an advanced level
- Experience with one or more analytics visualization tools (e.g. Excel Tableau QuickSight MicroStrategy PowerBI)
- Knowledge of quantitative data analysis and statistics
- Experience operating large data warehouses
- Knowledge of statistics or other analytical techniques
- Experience that includes strong analytical skills attention to detail and effective communication abilities
- Experience communicating with users other technical teams and management to collect requirements describe software product features and technical designs
- Experience in root cause analysis and troubleshooting or problem solving
- Experience making business recommendations and influencing stakeholders
- Experience in written and oral communication including the ability to communicate with all levels in the organization (technical business executive)
- Experience in written and verbal communication skills to communicate with technical and non-technical audiences including senior leadership
- Experience conveying complex technical concepts to both technical and business audiences
- Experience in stakeholder management and communication management
- Education
- Experience

- Masters degree or above in business administration economics mathematics engineering statistics or related field
- Knowledge of Lean Six Sigma and process improvement methodologies
- Knowledge of data analysis languages (e.g. R Stata Python etc.) or other statistical software
- 3 years of data interpretation and analysis to influence stakeholders experience
- Knowledge of methods for statistical inference (e.g. regression experimental design significance testing)
- Experience with process improvement techniques such as Kaizen Lean Manufacturing or Six Sigma

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