Specialist, Location Intelligence

WHO YOU’LL WORK WITH

You’ll be a key player in the 50-strong Stores Development team, reporting directly to the Fleet Planning manager. Collaboration will be at the heart of your work with colleagues across Nike Stores, partner teams, and Global counterparts, as well as experts in Insights, Data Science & Analytics, and Strategy.

WHO WE ARE LOOKING FOR

We are looking for a location Specialist to apply spatial insights that shape Nike’s future, supporting strategic investments and enhancing consumer engagement through an optimised store network. The ideal candidate is adaptable, collaborative, and analytically strong. You are highly proficient in coding, modelling, and visualization, as well as all things geospatial, with the ability to draw and communicate insights that align with our overall strategic direction. You bring the following experience to the role:

• Exceptional spatial analytical skills and problem-solving abilities, with a keen eye for both the big picture and the finer details.

• A versatile approach to analysis, capable of shifting from high-level strategic thinking to precise, unit-level recommendations.

• An understanding of the geographic drivers that contribute to variable store performance, with a good understanding of the typical location planning process, and the current retail landscape - particularly across major European cities.

• Strong communication skills, with the ability to distil complex data into clear, impactful messaging for all levels of leadership.

• Demonstratable flair for visual presentation, from creative slides and reports to compelling maps and dashboards.

• Prior experience in spatial analytics for retail, preferably with a large retailer or specialist retail / property consultancy.

• Knowledge of predictive / ML modelling, data science techniques and spatial data manipulation, with an aptitude for clearly documenting processes.

• Proficiency in writing and maintaining programming languages (e.g. Python, SQL), cloud platforms (e.g. AWS, Snowflake), and BI tools (e.g. Alteryx, Tableau, Smartsheet). Knowledge of CARTO or GIS platforms (e.g. ArcGIS) is a plus.

• Strong collaboration skills and ambition to advance methodologies (e.g. exploring possibilities to expand the efficiency and reach of spatial analytics through AI).

• Knowledge of Microsoft Office suite (Excel, PowerPoint) and proficiency in English with excellent written and verbal skills.

WHAT YOU’LL WORK ON

You will be supporting the process of geographically optimising our current and future fleet of stores, through data-driven recommendations. You will be working closely with colleagues from Store Development and across the wider Nike Stores organization, to shape our future strategy using qualitative and quantitative spatial insight. This will involve:

• Assisting with the development and innovation of methodologies that set the standard for fleet planning excellence, from store performance driver analysis to predictive sales forecasting and spatial optimisation.

• Leading multiple priorities, including data collection and governance to automating reports and documenting approaches and results.

• Facilitating access to high-quality geodata and tools, enabling deeper insights for the Fleet Planning and Stores Development teams.

• Driving innovation by developing advanced visualisations and analytical solutions to support strategic decision-making.

• Continuously enhancing team capabilities through process optimisation, adoption of new technologies, and infrastructure maintenance.

• Partnering with teams across Nike, from Stores Development to Global HQ, to create compelling presentations and contribute to regular high-profile fleet review processes.

• Diving into a variety of ad-hoc projects, delivering insights on everything from store clustering and consumer segmentation to foot traffic analysis and the digital ‘halo’ effect.

Relocation is available for this position

Applications for this role will be accepted until December 22nd 2024