Business Analyst, Supply Chain

Key Responsibilities:

• Requirements and process definition: document current-state planning processes, data sources and pain points, and translate business needs into specifications the analytics engineers can build.
• Deep dives and decision support: coverage and availability analysis, inbound delay impact, allocation performance, freight and landed-cost analysis, vendor performance packs.
• Reporting that earns its place: build the recurring views planners genuinely use, and retire the ones they do not.
• Design and implement business reporting / dashboard for the Supply Chain teams to support business strategy and day-to-day operations.
• Provide day-to-day operation-level analysis support to operation team so as to improve operational efficiency in terms of lead time, forecast, capacity & cost.
• The 48-hour directional answer. Take a planning or sourcing question, get to a defensible number fast, and state the confidence level explicitly. Speed with honest error bars beats precision after the decision.

Requirements:

• Bachelor's degree in business intelligence, data analytics, statistics, engineering, or computer science.
• 3–5 years experience in analytics or business analysis with strong SQL (writes complex queries independently) and fluency in a BI tool (Power BI, Tableau, Looker, Metabase or similar).
• Retail, fashion, e-commerce or supply chain domain knowledge: understands inventory, sell-through, coverage, allocation, lead times and why they matter commercially.
• Requirements and process skill: can document a process, write a clear specification, and structure an ambiguous business question into an answerable one.
• Judgement under time pressure: comfortable delivering a directional answer with stated assumptions.
• Experience with data visualization using PowerBI, MicroStrategy, or similar tools.
• Experience working directly with business stakeholders to translate between data and business needs.
• Outstanding communication skills (verbal and written) and proven track record of an ability to effectively communicate with both business and technical teams at all levels.
• Strong commitment and dedication to tasks, with a willingness to take on tasks outside of the usual remit.
• Uses AI assistants fluently as part of their engineering workflow, with judgement about output quality.

Why Join Us:

• Opportunity to work with a highly skilled and dedicated team.
• Support from a collaborative and innovative work environment.

Future Opportunities:

• Support ERP system roll-out across different operation units.
• Work with Finance team to connect operational performance (KPIs) with financial improvements.
• Work with business stakeholders to fine tune end-to-end data flows.
• Support Network design for different operating models and business cases.
• Conduct analysis to support continuous improvement of business process and system.
• Define KPIs and develop dashboards for 3PL performance.