FSQRN Data & Analytics Specialist

Starbucks Coffee Company; Greater London; On-site; GBP 65,000 - 90,000; Full time

Job summary

Starbucks is seeking a Food Safety, Quality, Regulatory & Nutrition Data & Analytics Specialist to unify FSQRN performance data across EMEA & the UK. You will design, develop and sustain a robust reporting and analytics capability, turning fragmented datasets into clear, actionable insights aligned to Global FSMS requirements.

Working with internal teams, suppliers and licensees, you will ensure timely, integrated data flows that help the business understand performance and risk, enabling

Qualifications

• Applying strong analytical and problem-solving skills to synthesize datasets.
• Strong storytelling capability translating data into clear, actionable insights.
• Maintaining high attention to detail, with a focus on data accuracy, integrity and governance.

Responsibilities

• Lead development of scalable FSQRN data and reporting framework.
• Design and build Power BI dashboards across FSQRN performance.
• Partner with FSQ, Operations, Supply Chain, Regulatory and licensee stakeholders to align data inputs.
• Drive automation and continuous improvement of reporting tools.

Skills

Analytical Skills

Data storytelling

Attention to detail

Data governance

Education

Degree in Food Science

Data Analytics degree

Tools

Power BI

Job description

across EMEA & UK, integrating multiple data sources into a unified view aligned to FSMS expectations.Designing and building a suite of Power BI dashboards that give clear visibility of FSQRN performance, trends and emerging risks.Analysing data to identify patterns and areas for intervention, and generating actionable insights that support decision-making and prioritisation.Partnering with FSQ, Operations, Supply Chain, Regulatory and licensee stakeholders to gather, validate and improve the quality of data inputs.Driving automation and continuous improvement of reporting tools to enhance usability and insight generation.

Qualifications

• Applying strong analytical and problem-solving skills to synthesise complex datasets.
• Bringing strong storytelling capability, translating data into clear, actionable insights.
• Maintaining high attention to detail, with a focus on data accuracy, integrity and governance.

Here, you'll thrive by

• advanced Power BI expertise - dashboard development, data modelling and visualisation best practice.
• Demonstrating the ability to build reporting frameworks from the ground up, including identifying and sourcing data inputs, and integrating multiple sources into a single coherent view.
• Having experience working with cross-functional and external stakeholders to drive data collection and alignment.
• Bringing experience within food, retail or supply chain environments and a degree in Food Science, Data Analytics or a related field (both preferred).

At Starbucks, we strive to offer equal employment opportunities to everyone. We value the uniqueness of each team member and endeavour to create a workplace where everyone feels they can be their true selves.

If you require additional support during the recruitment process, please let us know.

Job Field: Supply Chain Management

Organization: Starbucks

Description

As Food Safety, Quality, Regulatory & Nutrition Data & Analytics Specialist, you will build and enable end-to-end data visibility across Food Safety, Quality, Regulatory and Nutrition (FSQRN) performance across EMEA & the UK. You will design, develop and sustain a robust reporting and analytics capability, transforming fragmented datasets into clear, actionable insights that reflect performance against Global Food Safety Management System (FSMS) requirements. Working across internal teams, suppliers and licensees, you will ensure accurate, timely and integrated data flows that help the business understand performance and risk, prioritise interventions, and make evidence-based decisions. By creating a single source of truth for performance, you will enable the business to proactively identify risks, prioritise resources and continuously improve against global standards.

Here, you'll achieve results by

• Leading the development of a scalable FSQRN data and reporting framework