Job Description
About the Function :
Our Digital and Technology (D&T) team are innovators, delivering ground-breaking solutions that will help shape the future of our iconic brands. Technology touches every part of our business, from the sourcing of sustainable ingredients to marketing and development of our online platforms. We utilize data insights to build competitive advantage, supporting our people to deliver value faster.
Our D&T team includes some of the most talented digital professionals in the industry. Every day, we come together to push boundaries and innovate, shaping the digital solutions of tomorrow. Whatever your passion, we'll help you become the best you can be, creating career-defining work and delivering breakthrough thinking.
About the role :
We are seeking a motivated and detail- oriented Data Analyst to join our DA&I team. In this role, you will help transform raw and curated data into meaningful insights that support business decision- making across Diageo. You will work with a variety of datasets, apply analytical techniques, and communicate findings clearly to stakeholders.
This role is ideal for an analyst with strong foundational skills who is looking to deepen their experience, grow technically, and contribute to high- value analytical work.
Role Responsibilities :
- Collect, clean, and transform datasets from multiple sources to support analytics and reporting.
- Develop, maintain, and enhance datasets, data systems, and simple data pipelines.
- Perform exploratory data analysis, identify trends, profile data and generate regular analytical outputs.
- Use statistical and analytical techniques to uncover patterns, opportunities, and issues.
- Build clear, compelling dashboards and visualizations to support decision- making.
- Work with cross- functional teams to understand their data needs and deliver fit- for- purpose solutions.
- Document data processes, logic, and analytical methodologies in a clear and structured way.
- Monitor data quality, flag issues, and contribute to continuous data quality improvements.
- Stay informed about emerging analytics practices, tools, and techniques.
- Support the evolution of DA&I capabilities, processes, and ways of working.
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