Senior Applied Analytics Manager

Become a Part of the NIKE, Inc. Team

NIKE, Inc. does more than outfit the world’s best athletes. It is a place to explore potential, obliterate boundaries and push out the edges of what can be.

The company looks for people who can grow, think, dream and create. Its culture thrives by embracing diversity and rewarding imagination.

The brand seeks achievers, leaders and visionaries. At NIKE, Inc. it’s about each person bringing skills and passion to a challenging and constantly evolving game.

WHO WE ARE LOOKING FOR

We are looking for someone who has a strong business sense with an in-depth knowledge of supply and inventory planning. The candidate needs to be highly analytical and have extensive technical and project management experience.

You must be a self-starter, flexible problem solver, and outstanding communicator who is comfortable learning quickly and connecting the dots between disparate methodologies.

You will need those skills as you work across multiple functions and geographies within Nike's matrixed organization. Success will depend on your ability to quickly form both professional and personal relationships with colleagues and drive to meticulous, significant, user-friendly results!

WHO YOU WILL WORK WITH

As a Senior Applied Analytics Manager, Supply & Inventory Planning, you will be delivering analytically driven insights to optimize Nike's Global Supply & Inventory Planning organization.

The role will partner closely with peers who are leading advanced analytics and data product delivery teams to ensure that requirements from key partners are being translated to analytical capabilities, but also advising and helping prioritize the roadmaps of those delivery teams.

You will apply various data modeling, visualization and analysis techniques to mine data to identify trends that suggest new business opportunities.

You will serve as an evangelist for the power of predictive and prescriptive analysis. You will think broadly and creatively about the role of analytics at Nike and how your work can inspire the broader organization.

WHAT YOU WILL WORK ON

Design innovative and effective solutions to unique or sophisticated Nike challenges and opportunities in support of targeted operational and business priorities and objectives

Design and build innovative data and analytics solutions to support key decisions in supply and inventory planning across multiple functions and partners

Deploy descriptive, predictive, and / or prescriptive models that help Nike optimize the supply and inventory plans through data-driven insights

Work with key partners in advanced analytics and data products and reporting to understand requirements and improve opportunities to drive knowledge into action - Be a thought partner and key collaborator to stakeholder and partner teams to frame and translate business questions into analytically driven products

Lead cross functional teams and / or projects - Work independently and take initiative to identify, explore and tackle problems

Build new standard methodologies and processes as needed to address internal / external business challenges and opportunities

WHAT YOU BRING

Bachelor's degree required.

Advanced quantitative degree in Business Analytics, Statistics, Decision Science, Operations Research, Engineering, Applied Math, Econometrics, Behavioral Science, Computer Science (or other quantitative discipline) a plus

4+ years in Business Analytics or Advanced Analytics supporting a supply chain and / or planning function via predictive or prescriptive models

Preferred experience includes collecting, analyzing and visualizing data and driving insights to understand, shape and optimize supply, materials and inventory plans to support business outcomes

History of analytical team collaboration and developing collaborative business partner relationships

Skilled communicator who can express sophisticated concepts and ideas in a simple manner (written, presentation and verbal)

Experience leading multiple projects and partners in a fast paced, results-driven business environment

Core mathematical ability to understand, apply and innovate on machine learning algorithms, statistical modeling, and optimization methodologies

Understanding of data sources, research methods and applied operations research methodologies including optimization algorithms, and simulation modeling, and statistical analyses such as sampling approaches, causal modeling, time series analysis, and data mining techniques preferred

Proficiency in SQL, Python or similar experience in analyzing large structured and unstructured datasets - Experience working with data exploration and statistical package (such as Python, R, MATLAB, SPSS, SAS, Stata, etc.) is a plus

Experience with data visualization tools (such as Tableau, etc.)

Experience with moderate to large-scale data sets (>

100GB) preferred

Experience with agile & product management development methodologies preferred

Experience in applying advanced analytics models to advise or optimize supply chain and inventory decisions preferred

NIKE, Inc. is a growth company that looks for team members to grow with it. Nike offers a generous total rewards package, casual work environment, a diverse and inclusive culture, and an electric atmosphere for professional development.

No matter the location, or the role, every Nike employee shares one galvanizing mission : To bring inspiration and innovation to every athlete* in the world.

NIKE, Inc. is committed to employing a diverse workforce. Qualified applicants will receive consideration without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity, gender expression, veteran status, or disability.