Business Analyst, Last Mile Analytics and Quality
Amazon
DESCRIPTION
Amazon's Last Mile Analytics & Quality (LMAQ) Maps team is building data-driven solutions to power the Last Mile delivery network that will serve hundreds of millions of customers worldwide. The Analytics team develops systems that model and optimize delivery operations through complex navigation and mapping datasets. The team specializes in processing and analyzing large-scale map and routing data across global markets. We work cross-functionally to seamlessly analyze and enhance last mile delivery network efficiency and service quality through sophisticated data processing pipelines.
Our team is seeking a passionate and data-driven Business Analyst with experience in handling large-scale datasets to lead our efforts in enhancing driver experience and operational efficiency through advanced business analytics.
This role is inherently cross-functional- you will work closely with engineering, operations, product teams and other stakeholders on last mile delivery challenges. Through close collaboration and by conducting analysis using statistical techniques and data visualizations, you will drive these challenges to resolution.
The ideal candidate has a background in business analytics, experience with large-scale data processing, logistics understanding, project management skills, and a strong customer-centric approach to drive improvements in last-mile delivery. This job will require strong communication skills while having the ability to work independently in an evolving environment. Passion and drive for customer service is a must.
Key job responsibilities
• Analyze complex business problems and develop data-driven solutions using SQL, Python, or R
• Handle and analyze large-scale navigation datasets, map datasets and map attributes
• Run and automate ETL jobs for processing and integrating large scale datasets
• Implement quality control measures for navigation and mapping data
• Develop dashboards and reports using tools like Tableau/PowerBI to track key performance metrics
• Perform statistical analysis and create predictive models
• Design and implement data quality checks and validation processes
• Collaborate with stakeholders to identify business needs and opportunities
• Lead process improvement initiatives
• Translate business requirements into technical specifications
• Present findings and recommendations to leadership