Data Analytics Lead — Supply Chain & Procurement

Costa Coffee

St Albans

Hybrid

GBP 45,000 - 65,000

Full time

3 days ago
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Benefits offered by this job

Share Investment Plan (SIP)
Annual discretionary bonus
Pension with 10% match
Costa Financial Support Fund
50% discount in Costa stores
Private medical cover

Job summary

Costa Coffee is seeking a Data Analyst for Supply Chain & Procurement to transform data into actionable insights. You will build scalable Power BI reporting and provide clear views of supplier performance, costs, service and inventory to influence business decisions.

The role emphasizes ownership of reporting initiatives, collaboration with finance, operations and commercial teams, and a focus on data quality, performance, and automation as the business grows.

Qualifications

  • Advanced Power BI, DAX and SQL capabilities.
  • Experience delivering insight into Supply Chain, Procurement, Operations or Finance.
  • Clear communicator translating business questions into actionable reports.
  • Ability to own reporting initiatives from discovery to adoption.
  • Experience designing scalable reporting with clear KPIs and rules.

Responsibilities

  • Own end-to-end delivery and continuous improvement of Supply Chain and Procurement reporting in Power BI.
  • Develop analyses around supplier performance, cost, service, inventory and demand.
  • Design reusable semantic models, DAX measures and reporting datasets with consistent KPIs.
  • Investigate trends, root causes and translate findings into actionable recommendations.
  • Improve data quality, report performance, automation, documentation and adoption.

Skills

Power BI
DAX
SQL
Data modelling
Reporting

Job description

Costa Coffee is seeking a Data Analyst for Supply Chain & Procurement to transform data into actionable insights. You will build scalable Power BI reporting and provide clear views of supplier performance, costs, service and inventory to influence business decisions.

The role emphasizes ownership of reporting initiatives, collaboration with finance, operations and commercial teams, and a focus on data quality, performance, and automation as the business grows.

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