Lead Data Analyst, LATAM

Is part of Asia-Pacific Latin-America (APLA), a multi-cultural, growth Geography, and sits within the México Global Technology Leadership team, reporting to the LATAM Technology Director and partnering with LATAM and geography peers and various stakeholders. The leader will own the delivery and support of data analysis into México, taking an active role in the design, development, integration, and ongoing support of data-driven applications and solutions. The role requires translating local market and business needs into technical requirements for local and global technology solutions, working closely with Geo Technical Product and Engineering organisations.

• Lead the delivery and support of data analysis into México, taking an active role in the design, development, integration, and ongoing support of data-driven applications and solutions.
• Partner cross-functionally with business teams to understand their needs within a complex, constantly evolving digital marketplace.
• Work with Geo Engineering teams to package required data for presentation and deploy reporting and analytics services and tools focused on the Nike business value stream, enabling data-driven business decisions.
• Build and deploy quantitative research, causal inference, and predictive models to understand and optimise drivers of growth and performance.
• Deploy forecasts and report business key performance indicators for senior leadership, partnering with stakeholders to deliver relevant analysis and insights.
• Understand the end-to-end lifecycle of products, monitor production performance, and work closely with Technical Operations and product owners to address incident and problem trends impacting consumers and athletes.
• Become an expert in the local market and business needs, translating those insights into technical requirements for local and global technology solutions, working with Geo Technical Product and Engineering organisations.
• Align work with the global technology platform and data strategy, including customising or extending global platforms into territories or providing alternative technology solutions aligned with geo and global platform owners' strategy.
• Manage the intake of new ideas and asks from business partners in territory, assessing them against strategic objectives, priorities, and resource capacity.
• Assess and determine delivery and transition approaches and last-mile technical implementation approaches for the market.

• Bachelor's degree in computer science or related experience.
• 5 years of experience as a Data Analyst or similar role.
• Strong skills in visualisation, data modelling, presentation, and governance.
• Knowledge of continuous delivery, DevOps, Scrum, Agile, capabilities organisation models, and Kanban.
• Self-motivated with a high sense of accountability, urgency, and drive.
• Excellent verbal and written communication skills, with experience leading discussions and presenting to leadership.
• Ability to deal with ambiguity and work in a dynamic, results-oriented matrixed environment.
• Experience using tools such as Cognos, Power BI, SAP, AWS Snowflake, Alteryx, Tableau, and Domo to provide insights for cross-functional teams that deliver consistent business outcomes.
• Experience with tools such as Airtable, JIRA, and Confluence.
• Technical expertise across data engineering, solution architecture, application development, database design, data integration, cloud technologies, analytics, automation, and large-scale data platforms.
• Ability to design, build, integrate, optimise, and support scalable solutions that address both business and technical requirements.
• Ability to take ownership of technical solutions from design through implementation and ongoing support, delivering products, applications, data capabilities, and enhancements against established roadmaps, timelines, budgets, quality standards, and governance requirements.
• Ability to balance speed of delivery with scalability, reliability, security, and maintainability.
• Ability to work closely with customers, product teams, and business stakeholders to understand priorities, challenges, and opportunities.
• Ability to translate business needs into practical technology and data solutions, prioritising work that creates measurable value and improves the overall customer experience.