Business Analyst (Global Mile)

TL;DR

Business Analyst (Global Mile): Creating analytical models and data-driven insights to support Global Mile sales leaders in the US and EMEA with an accent on supply chain performance, customer behavior, and sales optimization. Focus on building scalable dashboards, implementing statistical testing, and collaborating with data engineering teams to influence strategic business decisions.

Location: Must be based in London, UK

Company

A global leader in e-commerce, cloud computing, and logistics, committed to empowering selling partners through advanced fulfillment networks.

What you will do

• Build data visualization reports and self-service tools for business stakeholders.
• Analyze large structured and unstructured datasets to optimize key sales and operational processes.
• Collaborate with data engineering teams to improve data assets and quality metrics.
• Develop analytical models and apply statistical testing to solve quantitative business problems.
• Design measurement systems and metrics to guide program roadmaps and operational performance.
• Communicate data-driven recommendations to sales managers to facilitate informed decision-making.

Requirements

• Bachelor's degree or equivalent.
• Proficiency in SQL for data extraction and manipulation.
• Advanced Microsoft Excel skills including VBA, macros, and complex lookups.
• Experience with BI tools such as Quick Sight, Tableau, or Power BI.
• Proven ability to define requirements and translate data into actionable business insights.
• Strong understanding of financial or business analysis principles.

Nice to have

• Master's degree in supply chain, operations, engineering, or analytics.
• Experience in supply chain or logistics operations.
• Background in web analytics, including funnel progression and conversion analysis.
• Experience with project management methodologies and process improvement.

Culture & Benefits

• Inclusive and diverse work environment focused on innovation and customer obsession.
• Opportunities to influence global-scale business strategies and product go-to-market plans.
• Access to advanced fulfillment data and cross-functional collaboration with engineering teams.
• Commitment to employee privacy and workplace accommodations for individuals with disabilities.