Manager, Business Intelligence & Analytics

OXXO USA is redefining the convenience store experience across the United States through customer-centric service, operational excellence, and data-driven growth. As part of FEMSA’s global retail platform, we are expanding rapidly and investing in analytics, innovation, and strategic decision-making to fuel long-term value creation.

We’re looking for a Manager, Business Intelligence & Analytics, to lead and develop a team of analytics professionals responsible for transforming complex business data into actionable insights that drive performance across our stores, operations, and support functions.

The Manager, Business Intelligence & Analytics is responsible for leading a team of Business Intelligence Analysts who support data-driven decision-making across OXXO USA. This role partners with functional leaders to understand priorities, guide analytical work, and ensure the team delivers accurate, timely, and actionable insights that improve business performance.

The ideal candidate brings strong business acumen, people leadership, analytical expertise, and communication skills. This role is expected to coach and develop the Business Intelligence team, build trusted partnerships across the organization, and help strengthen OXXO’s analytics capabilities as the business continues to grow.

• Lead, coach, develop, and grow the Business Intelligence and Analytics team.
• Establish team priorities, performance expectations, and professional development plans.
• Promote a culture of accountability, continuous improvement, and data-driven decision-making.
• Mentor analysts in technical skills, business acumen, and stakeholder engagement.

• Partner with leaders across Fuel, Merchandise, Operations, Finance, Accounting, and HR to identify opportunities for performance improvement and profitability growth.
• Serve as a trusted advisor and thought partner by transforming data into actionable business insights.
• Collaborate with stakeholders to define, develop, and maintain enterprise KPI frameworks and reporting standards.
• Recommend strategies and initiatives based on analytical findings, market trends, and business performance.

• Lead the design, development, and optimization of enterprise reporting, dashboards, and analytics solutions.
• Translate large and complex datasets into meaningful insights and actionable recommendations.
• Deliver analysis that connects operational performance to financial outcomes.
• Support executive and operational leadership with recurring and ad hoc reporting needs.
• Ensure accuracy, consistency, and integrity of key business metrics.

• Develop forecasting models that account for seasonality, market conditions, and changing business dynamics.
• Support budgeting, planning, and performance management processes.
• Analyze inventory performance and its impact on profitability, cash flow, and financial results.
• Evaluate business initiatives, capital investments, and operational performance through financial and analytical modeling.
• Partner with Finance and operational leaders to improve forecasting accuracy and business planning effectiveness.
• Develop forecasting models for highly seasonal business environment.
• Strong understanding of seasonality and demand forecasting concepts.
• Demonstrated ability to synthesize large, complex datasets into actionable business strategies.
• Strong understanding of inventory management and its impact on financial performance.

• Promote best practices in data management, analytics development, and reporting governance.
• Collaborate with technology and business teams to improve data quality and accessibility.
• Support the evolution of data architecture, data warehousing, and enterprise analytics capabilities.

• Bachelor’s degree in Business, Economics, Mathematics, Statistics, Finance, Data Analytics, Information Systems, Computer Science, or a related field.
• 5+ years of experience in business intelligence, analytics, data analysis, reporting, finance analytics, operations analytics, or a similar analytical discipline.
• 2+ years of experience leading, supervising, coaching, and mentoring analysts or analytical project teams.
• Proven ability to guide the analysis of large, complex datasets and develop analytical and financial models that support business decision-making.
• Advanced Excel skills, including complex modeling, data analysis, and reporting.
• Proficiency with modern BI, data visualization, and data warehousing technologies such as SQL, Snowflake, Power BI, Tableau, Qlik, or similar platforms.
• Demonstrated success designing, managing, or delivering dashboards, reports, scorecards, and scalable analytical solutions for business stakeholders.
• Strong understanding of data mining, data integration, reporting automation, and migration practices within a complex business environment.
• Strong analytical and problem-solving…