Director, Data Analytics - Global Marketplace

Position Summary

What you'll do...

About The Role

Walmart's global marketplace business operates across multiple international markets, connecting millions of third-party sellers with customers around the world. This role leads the data analytics function that makes that business measurable, scalable, and trusted — owning the data infrastructure, reporting frameworks, and analytical standards that commercial and operational teams depend on to make decisions and drive growth.

What You'll Own

• Global Data Standardization & Governance

• Lead the design and enforcement of unified data standards including consistent metric definitions, dimension structures, and business logic across all markets.
• Drive alignment with enterprise analytics and data engineering teams to ensure marketplace data integrates cleanly with broader organizational frameworks.
• Own data governance practices for the marketplace data domain, including data quality standards, access controls, and documentation.
• Serve as the primary point of accountability for data relationships across partner teams, acting as the escalation point for quality issues and coverage gaps.

• Analytics Strategy & Stakeholder Engagement

• Translate complex, multi-market business requirements into a structured analytics roadmap with clear priorities and measurable outcomes.
• Partner with senior leaders across commercial, financial, and operational functions to deliver timely, trusted analytics that inform strategy and execution.
• Build and present business cases for analytics investments, articulating return on investment and measurable business impact.
• Proactively surface gaps in data coverage or analytical capability and drive remediation before they become blockers.

• Data Engineering & Infrastructure Oversight

• Oversee the health, reliability, and evolution of a large-scale pipeline ecosystem spanning sales, logistics, traffic, assortment, and seller data across multiple markets.
• Guide architecture decisions around unified consumption layers, data migrations, and pipeline consolidation in BigQuery.
• Ensure new program or market data integrates cleanly into existing unified data models without creating redundant or parallel structures.

• Self-Serve BI & Reporting Governance

• Own the Looker reporting ecosystem - including Explores, dashboards, and the data dictionary — ensuring quality and accessibility for business users across functions.
• Champion self-serve analytics by designing reporting frameworks that reduce ad-h bottleneck and empower business teams to access trusted data independently.
• Set and maintain standards for how metrics are defined, calculated, and presented across all dashboards and business reviews.

• Team Leadership & Development

• Lead and develop a cross-functional analytics team spanning data engineering, business intelligence, and reporting.
• Establish clear ownership, accountability, and growth paths for each team member through meaningful coaching, feedback, and mentorship.
• Foster an inclusive, high-performing team environment where associates feel supported, challenged, and set up to do their best work.

Required Experience & Skills

• 7+ years in data analytics, data engineering, or business intelligence, with at least 3 years in a senior leadership role.

• Deep proficiency in SQL and BigQuery, with strong working knowledge of Python and data pipeline architecture.

• Hands-on experience with Looker or a comparable enterprise BI platform, including building and governing data models and dashboards at scale.

• Demonstrated experience leading data standardization or governance initiatives across multiple business functions or geographies.

• Track record of translating complex business requirements into scalable analytics solutions with clear, measurable impact.

• Strong executive communication skills, with the ability to influence cross-functional partners and present confidently to senior leadership.

Preferred Experience

• Prior experience in global or international e-commerce marketplace analytics.

• Familiarity with cross-border commerce, seller lifecycle data, or logistics analytics.

• Experience working across US and international data systems simultaneously.

• Exposure to competitive intelligence or demand signal data sources.

Minimum Qualifications

• Option 1: Bachelor's degree in Business, Engineering, Statistics, Economics, Analytics, Mathematics, Arts, Finance or related field and 5 years' experience in data analysis, data science, statistics, or related field.

• Option 2: Master's degree in Business, Engineering, Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 3 years' experience in data analysis, data science, statistics, or related field.

• Option 3: 7 years' experience in data analysis, data science, statistics, or related field. 2 years' supervisory experience.

Additional Compensation

The annual salary range for this position is $110,000.00 - $220,000.00 Additional compensation includes annual or quarterly performance bonuses. Additional compensation for certain positions may also include : Stock