Analytics Engineer, Supply Chain

Key Responsibilities:

• Integrate source data from legacy ERP, warehouse management, PO systems, POS and third-party feeds, working within the organizations ingestion and governance framework.
• Build and maintain dbt models across staging, intermediate and mart layers for the supply-chain domain.
• 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 data & analysis support to operation team so as to improve operational efficiency in terms of lead time, forecast, capacity & cost.
• Carry out complex analysis to support business decisions (e.g. Network design, DC locations, etc.
• Collaborate with Data Warehouse team (DaWaCa) to create robust and scalable data infrastructure to retrieve and analyze data.
• Provide one single source of truth for Supply Chain data.
• Define, recommend, and implement new key performance indicators (e.g. forecast accuracy)
• Scope and create user-friendly and actionable dashboards to provide visibility and insight.

Requirements:

• Bachelor's degree in business intelligence, data analytics, statistics, engineering, or computer science.
• 3–5 years hands-on experience with advanced SQL, dbt (or equivalent), Python for data work, and a cloud warehouse- Snowflake preferred.
• Real understanding of data modelling: grain, keys, slowly-changing dimensions, incremental strategies, idempotency.
• Experience programming to extract, transform and clean large (multi-TB) data sets.
• Experience in Statistical Analysis packages such as R, SAS, or Matlab.
• Experience in scripting for automation (e.g. Python) and advanced SQL skills.
• 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.
• Experience in fashion industry, supply chain, omni-channel operations.
• 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.