Leverage data and advanced analytical techniques to deliver insights and drive informed decision making for our stakeholders. Contribute to the data culture and enhancing analytical capability across the division by sharing best practice through effective business partnerships

 

What I am accountable for 

Sit within the Supply Chain Optimisation team, liaising closely with members of the Supply Chain operations team. Be an Analytics Lead for a team of high calibre Analysts, supported by an Analytics Business Partner in utilising our data assets to establish the realisation of the business strategy.  Manage a direct report and coach junior analysts in the team. Assist in planning, prioritising, and delegating workload to help the business achieve their strategic aims.  Apply your analytical knowledge to business problems recommending and implementing the analytical approach. Lead projects, develop & maintain relationships with your stakeholders, championing a collaborative approach to requirements gathering and the formation of compelling analysis. Move at pace, whilst still delivering high quality, accurate, professional outputs that land the real truths that sit within the data. You will proactively ensure you are always in touch with the ‘Why’ behind every project – understanding the purpose of your analysis, and which decisions the business is looking to inform.  Deliver insights and recommendations through high quality data storytelling. We love data and deriving value from it. The key to the value is in being able to build and tell compelling stories based on this data. Embrace our values of Owning It, Making it Better and Being Human.

 

What I need to know 

Essential

A highly numerate background. You will have a degree in Data Science, Mathematics, statistics or another analytical subject, or analytical work experience.  SQL knowledge is essential.  Brilliant communication skills, having the ability to explain complex information in simple terms An inquisitive mind, with the curiosity to be constantly on the lookout for opportunities and the ability to logically solve problems.  High attention to detail The ability to partner brilliantly with the business to understand their problems and deliver value, applying commercial acumen and communicating/connecting in a compelling way. A proven history of delivering actionable insights and demonstrable business change through the application of analytics.

Desirable 

Experience working within the Food retail industry is helpful and within Supply Chain would be a big advantage. Experience using Python or R is helpful but not vital. Line management or experience within mentoring roles is preferable. Keen to learn and develop. Pro-active about driving your career development and progression. A high level of team contribution – looking for opportunities to provide input and support across the wider analytics community.

 

What I need to show

Our Valued Behaviours are our common DNA that every colleague should live by and provide the benchmark for how we deliver our goals/individual contribution, and how we relate to other colleagues in the organisation.

Own it Deliver a wide range of tasks, and take ownership for solving problems that you identify Actively share your thoughts and are prepared to challenge others in a positive way Use business context and other information sources to make decisions  Regularly review your goals with your line manager Make it better  Open minded and try new ways of doing things, making things simpler where possible  Adaptable and respond positively when circumstances change  Show curiosity about the business beyond your immediate role Seek feedback from those you work with and understand your strengths and development areas Provide regular fair and accurate feedback to others  Be human  Ask questions to understand where others are coming from. Show care and respect for how others are feeling and provide support to those around you Listen and ask questions about the needs and motivations of others to build effective relationships Regularly gather customer feedback and use this insight to continuously improve the customer experience