Lead Data Analyst, LATAM

Nike; San Pedro Garza García; On-site; MXN 900,000 - 1,300,000; Full time

Job summary

Nike Inc is seeking a Lead Data Analyst to drive data analysis, modeling, and governance for LATAM and global stakeholders. You will own end-to-end data solutions, partner with Geo Engineering, and translate business needs into scalable analytics.

You will oversee delivery of data products, contributing to forecasts, KPIs, and cross-functional collaboration with engineering and product teams across the Nike organization.

Qualifications

• Bachelor’s degree in computer science or equivalent.
• 5+ years as a Data Analyst or similar role.

Responsibilities

• Partner with business teams to capture needs in a dynamic digital marketplace.
• Work with Geo Engineering to prepare data for reporting and analytics services.
• Build and deploy quantitative research and predictive models to drive growth.
• Monitor product lifecycle and incident trends with Technical Operations.

Skills

Data analysis

Leadership

Communication

Agile

Scrum

Kanban

Visualization

Governance

Education

Bachelor’s degree in computer science

Tools

Cognos

Power BI

SAP

AWS

Snowflake

Alteryx

Tableau

Domo

Airtable

JIRA

Confluence

Job description

WHO YOU’LL WORK WITH

You will be part of the México Global Technology Leadership team and will report to the LATAM Technology Director, partnering with LATAM and geography peers and stay engaged with various stakeholders, ensuring you stay connected and close to the needs of the business in LATAM.

WHO WE ARE LOOKING FOR

Asia-Pacific Latin-America (APLA) is a multi-cultural, growth Geography (Geo) that is seeking a leader with the functional and technical expertise that can lead the delivery and support of data analysis into México

We are looking for a strong lead who can take an active role in the design, development, integration, and ongoing support of our data-driven applications and solutions. You will bring solid technical depth while also understanding how data products support business operations and customer needs.

As the Lead in this space, you will become the expert of your local market and business needs and be able to translate those insights into technical requirements for both local and global technology solutions working closely with the Geo Technical Product and Engineering organizations. Core to this role is the understanding of the global technology platform and data strategy and the criticality of aligning to the principles of customizing / extending global platforms into territories and/ or providing alternative technology solutions aligned with geo and global platform owners’ strategy.

Lastly, in this role, you will manage the intake of new ideas and asks from our business partners in territory, helping to assess them against strategic objectives, priorities, and resource capacity. In addition, as we delivery technology solutions you and your team will be critical to assessing and determining the delivery and transition approach as well as last mile technical implementation approaches for your market.

• Bachelor’s degree in computer science or experience related
• 5 years of experience as a Data Analyst or similar role
• Strong skills in visualization, data modeling, presentation, and governance. Including continuous delivery, DevOps, Scrum, Agile, Capabilities organization models, and Kanban
• Self-motivated, with a high sense of accountability, urgency, and drive
• Excellent communication skills, both verbal and written, and experience leading discussions and presenting to leadership
• Ability to deal with ambiguity and work in a dynamic, results-oriented matrixed environment
• Experience in using tools such as Cognos, Power Bi, SAP, AWS Snowflake, Alteryx, Tableau and Domo to provide insights for cross-functional team that delivers consistent business outcomes
• Experience with tools such as Airtable, JIRA, Confluence

WHAT YOU’LL WORK ON

Partnering cross functionally with Business teams to understand their needs within a complex, constantly evolving digital marketplace. Working with Geo Engineering teams to package the required data ready for presentation and deploy reporting and analytics services/tools with a focus on the Nike business value stream, to enable data driven business decisions. Build and deploy quantitative research, casual inference and predictive models to understand and optimize drivers of growth and performance. In addition, deploy forecasts and report business key performance indicators (KPIs) for senior leadership and partner with the stakeholders to deliver relevant analysis and insights.

Critical to this role is understanding the E2E Lifecyle of the products, obsessing how products are performing in production and working closely with our Technical Operations organization as well as product owners to obsess incident and problem trends impacting our consumers and athletes.

• Technical Expertise: Demonstrates broad technical expertise across data engineering, solution architecture, application development, database design, data integration, cloud technologies, analytics, automation, and large-scale data platforms. Able to design, build, integrate, optimize, and support scalable solutions that address both business and technical requirements.
• Deliver to a Plan with Quality: 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. Balances speed of delivery with scalability, reliability, security, and maintainability.
• Customer Obsession: Works closely with customers, product teams, and business stakeholders to understand priorities, challenges, and opportunities. Translates business needs into practical technology and data solutions, prioritizing work that creates measurable value and improves the overall customer experience.
• Influencing & Collaboration Skills: Ability to collaborate effectively across technical and business teams, influence architecture and engineering decisions, communicate complex technical concepts clearly, and champion development, integration, data, security, and operational requirements with cross-functional stakeholders.