Product Data Analyst

• UK and European markets are understood, with customer, consumer, competitors, distribution strategies and price positioning continually being developed.

• Commercial input is understood through communication with sales teams, customers and consumers and data evaluation to deliver correct product mix.

• The Merchandising team are worked with closely to balance range growth, structure, price point, model and colour count, delivering on KPI’s.

• Deep dive analytics are performed within a fast-paced and exciting function.

• Data is interpreted and analysed using exploratory mathematic and statistical techniques, to drive business decisions and profitability.

• Business opportunities are identified using data to propose solutions that will aid decision making.

• Clear reports are created that tell compelling stories about how customers work with the business and determine product needs.

• Possible actions are clearly identified and strongly communicated based upon insight.

• Data is accurate, formatted and presented at the right level during key meetings, with key stakeholders kept informed

• The Panorama team is worked with to drive BI integration forwards on the product team

• Information is fed to the Product Manager to maximise range efficiency.

• Brand Directors are worked with to adapt strategy as necessary based on strategic business decisions.

• Correct, clear, concise and relevant information is provided across the business as necessary

• Confident and enthusiastic data interpretation is provided at critical milestone meetings.

• Product range is improved by responding positively and seeking correct course of action based on any discussion or feedback.

• Monthly KPI reports are provided to present to Board Directors.

• Planning is worked alongside to ensure that the range is being delivered at the right place at the right time through stock analysis at the correct margin.

• Business cases are prepared with product team and sales for any collaboration or new business proposal.

• The Omni channel sales teams are worked with closely in understanding how the range is performing each sales quarter.

A full job description outlining all deliverables and requirements for the above can be found attached to the advert on our careers page.

As our future Product Data Analystyou will have:

• A strong experience using a variety of data analysis methods, data tools, ideally within a clothing Company.

• Demonstrated ability to translate analytical insights into clear recommendations and effectively communicate them to stakeholders

• Ideally an understanding of outdoor or sportswear clothing products & markets across Europe, or at least an understanding of the general clothing markets

• Excellent communicator - good presentation skills and ability to listen to and analyse different views and back up strategy with clear and logical perspective

• Builds great relationships – across teams and at all levels, having the ability to negotiate and communicate ideas but maintaining a clear understanding of commercial constraints

• Ability to influence – able to guide and present facts persuasively and reach compromise if necessary

• Good numerical skills – the ability to review, digest & debate data and make compelling strategic decisions as a result

• Fluent in written & spoken English

• Enthusiastic, entrepreneurial, highly organised with an ability to self-manage workload and deadlines

• Positive outlook / attitude – ability to manage work / life balance

• Active interest in exercise / sport and / or outdoor activities and related apparel & equipment

• Experience utilizing visualization tools to take advantage of the growing volume of available information e.g. BI

• Computer literate – including strong PowerPoint presentation and Excel, pivot tables.

• Adherence to Company H&S policies always

• Responsible for keeping own work area safe and free from hazards

• Adopts a “don’t walk by” attitude to health and safety

• Ambassador of H&S practices

We can offer you:

• Discretionary profit share bonus

• Pension

• Staff discounts

• Access to company benefits website

• 24 days annual leave + 8 bank holidays

• An extra day of annual leave for every 3 years’ service up to an additional 3

• Birthday hours

• Company walks

• State of the art Head Office

• A paid day off for volunteering

• Free parking

• Subsidised canteen and Starbucks

• Cycle to work scheme

• Discounted gym membership