Lead Retail & Consumer Analytics, SEA&I

WHO WILL YOU WORK WITH?

You’ll be a key member of the Southeast Asia & India (SEAI) Analytics team, delivering action-oriented quantitative insights across our channels including Nike Digital, Nike Stores, and Wholesale Partners. Reporting to the Senior Manager of SEAI Marketplace Analytics, the Analytics Lead will work with cross-functional stakeholders to unlock insights and integrate them into business processes to maximize revenue and profitable growth. In this role, you’ll work closely with SEAI Marketplace, Planning, Finance and Strategy and their cross-functional teams. You’ll also partner with Enterprise Business Intelligence, Data Science, and Competitive Intelligence teams in Asia Pacific & Latin America, as well as global teams, to deliver territory insights. This role offers an exciting opportunity to drive significant impact on Nike’s growth strategy by using data-driven insights to inform strategic decisions and improve business performance.

WHO ARE WE LOOKING FOR?

You’re a seasoned analytics professional who thrives as a trusted authority. You love solving hard problems and can present complex ideas in a way that’s easy to understand, anticipating objections while persuading others to adopt and act on a point of view. You’re a champion of analytics and applied data science, bringing creative and innovative quantitative methods to deliver insight-driven strategies. Your people and communication skills are unparalleled. You’re a gifted storyteller who is adept at crafting work that persuades, influences, and inspires multi-disciplinary teams. You’ve got an in-depth knowledge of the retail landscape and emerging trends and are passionate about turning data into impactful business decisions.

• Advanced quantitative degree in Statistics, Mathematics, Economics, Computer Science, Business, Data Science, or related field

• 5+ years of experience in Advanced Analytics, Applied Data Science, Economics or related areas

• Expertise in retail operations analytics (conversion, basket economics), localized assortment and allocation insights, and member and digital engagement in physical stores (e.g., attach, redemption, and omnichannel journeys)

• Hands-on experience with SQL, cloud-based platforms (e.g., Databricks), visualization tools (e.g., Tableau), and proficiency in one or more scripting languages (Python or R)

• Experience applying AI/ML to retail store analytics, including forecasting, store segmentation, and decision support for assortment and door-level fulfillment

• Ability to think creatively with data, formulate and gain traction around new ideas, and bring a new perspective to the business

• Proven ability to influence and communicate effectively with both technical and non-technical stakeholders, including senior leadership

• Strong problem-solving, analytical, and critical thinking skills with a high level of attention to detail and commitment to excellence

• Experience working in direct-to-consumer and retail environments, with a deep understanding of omnichannel trends

• Ability to collaborate closely with data science and business intelligence teams to translate business strategy into data-driven solution

• Passion for the consumer experience, ideally at the intersection of retail and sports

WHAT YOU’LL WORK ON

• Analyze large, complex datasets to identify patterns, correlations and actionable insights using statistical methods and advanced analytics techniques

• Define and monitor KPIs, use root cause analysis to diagnose changes in trends, and apply causal inference techniques to optimize marketplace, marketing, product, and operational strategies

• Act as an ongoing thought partner and strategic advisor to stakeholders to ensure insights are being interpreted and effectively applied

• Collaborate with Marketplace, Strategy, Finance, and their cross-functional teams to translate technical findings into clear, actionable recommendations

• Craft presentations and reports that distill complex analyses into compelling narratives for stakeholders across various levels of leadership