Head of Data & Analytics

What You’ll Get 

People are at the heart of what we do here, so it’s essential we provide you with the right environment to perform at your very best. Let’s talk lifestyle: Healthcare, pension, and potential bonus. 27 days of leave, plus bank holidays and if you want, you can buy 5 more. Because Primark is all about tailoring to you, we offer Tax Saver Tickets, fitness centre, and a subsidised cafeteria.

What You’ll Do as Head of Data & Analytics

In your role, you’ll collaborate with different people across a range of skillsets. Here’s a flavour of your day-to-day:

• Leading the Data & Analytics team to deliver best-in-class business outcomes
• Driving business transformation with data & analytics to generate business value
• Driving continuous development of capabilities in multiple areas, e.g. Data & Analytics, Data Governance, Data & Analytics Platforms and Data Culture.
• Operationalise data & analytics strategy in line with agreed objectives and key results (OKRs) and in accordance with approved budget
• Develop the Data & Analytics team to ensure we have the right breadth and depth of expertise and provide input on the resourcing and capability gaps we are likely to face in the future
• Own the standards, governance, and methodologies for data visualisation, storyboarding and Analytics model development & validation
• Be a data guardian for the organisation and ensuring that data is protected and standardised for use by business teams
• Using Data & Analytics to spark innovations that differentiate the organisation in a competitive market

What You’ll Bring

Here at Primark, we want everyone to feel valued – so please bring your authentic self to work, of course with some other key experience and abilities for this role in particular:

• Demonstrable experience in related field and relevant educational qualifications, along with Team Management & Leadership experience preferred
• Demonstrable Data & Analytics market insight and expertise, alongside deep industry and sector knowledge
• Advanced analytics understanding and demonstrable expertise – predictive modelling, statistical analysis, and machine learning
• Experience conducting quantitative and qualitative analysis with visualisation and analytics techniques to solve defined business problems
• Strong communication skills including the ability to deliver a clear story to influence agreement on your recommendations
• Self-motivated to work across diverse business scenarios, handling multiple priorities, and having a business mind-set whilst being technically (data) savvy

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