Business Intelligence Analyst Lead - LATAM

Analytics & Data Science Responsibilities

• Lead the development of advanced business intelligence ecosystems integrating ERP, CRM, market intelligence, financial, and commercial datasets.
• Develop predictive and prescriptive analytics models to forecast revenue, pricing behavior, customer adoption, and commercial performance.
• Utilize machine learning, AI tools, and statistical modeling to anticipate business risks and opportunities.
• Design executive dashboards with real-time visibility into ASP evolution, market share, account penetration, and Salesforce effectiveness.
• Drive segmentation strategies across premium, mid-tier, and public markets to optimize portfolio positioning.
• Identify surgeon adoption curves, purchasing patterns, and regional growth opportunities.
• Monitor competitor activities, reimbursement trends, tender dynamics, and emerging technologies.
• Lead data governance initiatives ensuring data quality, consistency, scalability, and accessibility.

Strategic Impact & Growth Responsibilities

• Transform complex datasets into compelling executive-level business narratives.
• Provide forward-looking insights that influence portfolio optimization and market expansion.
• Identify growth acceleration opportunities through upselling, cross-selling, and pricing optimization.
• Build predictive business models supporting long-range strategic planning and forecasting.
• Deliver recommendations that directly impact revenue growth, profitability, and operational efficiency.

Leadership & Collaboration Responsibilities

• Lead and develop a high-performing BI and Data Science team.
• Promote a culture of innovation, accountability, and data-driven decision-making.
• Act as a trusted advisor to senior leadership with proactive strategic recommendations.
• Champion the adoption of AI, automation, and predictive analytics capabilities within LATAM.
• Train and mentor commercial teams to improve data literacy and analytical capabilities.

Advanced Functional Competencies

• Strategic Business Intelligence and executive-level decision support.
• Predictive Analytics & Forecasting for future trend anticipation.
• Machine Learning & AI Integration to optimize commercial performance.
• Commercial & Financial Acumen with deep understanding of healthcare markets.
• Data Storytelling & Executive Communication capabilities.
• Change Leadership through data-backed insights and business transformation.
• Innovation Mindset focused on automation and continuous improvement.

Functional Competencies

• Business acumen: understands the business models, KPIs and industry benchmarks.
• Data Interpretation & Analysis: Demonstrates proficiency in analyzing complex datasets to identify trends, patterns, and anomalies that impact commercial performance, including ASP fluctuations, sales volumes, and market dynamics.
• Insight Generation: Translates raw data into actionable insights that inform business strategies, such as identifying untapped market opportunities, optimizing upselling and cross-selling tactics, and improving surgery conversion rates.
• Visualization & Storytelling: Develops clear, compelling dashboards and visual reports using BI tools to communicate findings effectively to stakeholders across LATAM.
• Data-Driven Decision Making: Applies analytical thinking to support strategic initiatives, ensuring decisions are backed by evidence and aligned with business goals.
• Collaboration & Influence: Works cross-functionally with Sales, Marketing, and Finance Commercial teams to embed data literacy into daily operations and foster a culture of informed decision-making.

Education and Experience

• Bachelor’s degree in Data Science, Computer Science, Engineering, Statistics, Mathematics, Economics, or related analytical field required.
• Master’s degree in Data Science, Analytics, MBA, Artificial Intelligence, or related field strongly preferred.
• 8+ years of experience in Business Intelligence, Data Science, Commercial Analytics, or Strategic Analytics leadership.
• Advanced expertise in Power BI, Tableau, SQL, Python, R, Power Query, DAX, and data modeling.
• Experience with predictive analytics, machine learning models, AI-driven forecasting, and statistical analysis.
• Strong understanding of CRM, ERP, and healthcare/commercial data ecosystems.
• Experience influencing executive-level decisions through analytics and strategic recommendations.
• Fluent in English, Spanish or Portuguese.