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 Quick Sight, 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

Basic Qualifications

• Bachelor's 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, Quick Sight, 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

Preferred Qualifications

• Master's 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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