WHO YOU WILL WORK WITH

This role is part of our Performance Operations team within the APLA Enterprise Business Planning team. You will be working closely with Global and Territory Planning partners, as well as multiple cross-functional teams such as Sport, Marketplace, Finance, Analytics, and Supply Chain Partners.

WHAT YOU’LL WORK ON
In this role, you’ll be part of a team driving an aligned understanding of Nike’s business performance, with a sharp focus on Retail Performance and Inventory Productivity.  You will also support the process behind managing business performance and connecting insights to action.  Additional responsibilities include:

• Conduct analysis to support key business decisions and monthly business reviews.

• Populate and automate templates that will drive the agenda and storyline for leadership forums.

• Create dashboards for visualizations that show seasonal performance and forecast insights.

• Developing reporting standards and guardrails, prioritizing reporting backlog, and prototyping reporting tools.

• Lead research, methodology definitions, & requirements of new metrics, in partnership with Territories, Global Planning, Cross Functional, and Technology teams.

WHO WE ARE LOOKING FOR
We are looking for a Senior Performance Operations Analyst, APLA to support monitoring business portfolio performance across hero Planning KPIs and developing compelling insights and stories for our APLA Planning Team. The successful candidate demonstrates curiosity, is proactive, and enjoys storytelling with data. They will have the ability to simplify complex data and communicate their findings effectively across different levels and functions of the organization. The person we’re looking for performs analyses and visualizes data to provide data-driven insights and take-aways on key business decisions.

• Bachelor's degree in logistics or related field. Will accept any suitable combination of education, experience and training.

• 2+ years of relevant work experience

• Advanced Excel Skills (Pivot Tables, IF, VLOOKUPs, SUMIFs, Charts, etc.).

• Experience with visualization tools (PowerQuery, PowerPivot, PowerBI, Tableau, Alteryx, etc.)

• Demonstrated ability to manipulate data, identify trends, simplify complex data, visualize trade-offs, and make recommendations grounded in data.

• Effective storytelling with data. Comfortability in being able to distil complex datasets into high level themes for a variety of audiences.

• Ability to understand how reporting methods of the past can be transitioned to proactive management methods, enabling us to make decisions faster.

• Foundational understanding of Planning functions, ways of working and activities.

• Foundational retail knowledge including Stock & Sales and Gross-to-Net Metrics.

• Foundational Supply Chain and Inventory Management knowledge, including Inventory Productivity and Health Metrics.

• Listens actively and makes insightful contributions to advance the conversation.

• Self-starter, motivated, and proactive in making recommendations. Deals with ambiguity by actively seeking clarity instead of waiting for others to provide direction.

• The ideal candidate will have experience working with AI, or at minimum a drive to learn and use AI tools.

We offer a number of accommodations to complete our interview process including screen readers, sign language interpreters, accessible and single location for in-person interviews, closed captioning, and other reasonable modifications as needed. If you discover, as you navigate our application process, that you need assistance or an accommodation due to a disability, please complete the Candidate Accommodation Request Form.