Commercial & Business Intelligence Analyst

 


Role Description & Responsibilities

Contribute to the Americas Sales Operations team by leading analytics and data science initiatives that transform complex business data into actionable commercial insights. Drive advanced statistical analysis while developing predictive models and machine learning solutions to optimize sales performance and enable data-driven decision making across LATAM markets.
Partner with sales leadership to identify analytical opportunities and translate statistical findings into practical business strategies that drive measurable revenue growth.

Key responsibilities include:

Develop and implement statistical models, machine learning algorithms, and predictive analytics solutions for sales forecasting, pipeline optimization, and customer behavior analysis
Build automated data pipelines and reporting systems using Python, R, SQL, and business intelligence platforms (Tableau, PowerBI, Databricks) Lead data science projects including customer segmentation, pricing analytics, and churn prediction to support commercial strategy decisions Manage and ensure quality of enterprise sales data across CRM systems and analytics platforms, implementing data governance best practices Analyze sales performance metrics and market trends, delivering actionable insights and recommendations to sales leadership and management teams Develop custom analytical frameworks and business intelligence tools that enhance commercial decision-making and competitive positioning Mentor and guide analytics team members, fostering technical skills development in statistical analysis and business intelligence tools Collaborate with cross-functional teams (Sales, Marketing, Finance) to identify analytical requirements and deliver integrated data solutions Drive process improvements through data-driven insights, optimizing sales methodologies and operational efficiency across the region

Qualifications

Master's degree in Data Science, Statistics, Mathematics, Business Analytics, or related quantitative field 5-7 years of experience in data science, business analytics, or commercial analysis roles with increasing responsibilities Proven experience managing small teams or leading analytical projects with cross-functional stakeholders Strong proficiency in statistical programming (Python, R, SQL) and machine learning techniques for business applications Hands-on experience with business intelligence platforms (Tableau, PowerBI, Qlik, Databricks) and data visualization best practices Solid understanding of commercial operations, sales processes, and revenue optimization principles Excellent communication skills with ability to present technical findings to business stakeholders and management Experience with data pipeline development, ETL processes, and database management systems Relevant certifications in data science, analytics, or project management preferred Multilingual capabilities (English, Spanish, Portuguese) strongly preferred for Americas region support

Core Competencies:

Statistical modeling and machine learning application Business intelligence and data visualization
Commercial analytics and sales performance optimization Team leadership and cross-functional collaboration Data pipeline development and database management Strategic thinking and problem-solving Process improvement and operational efficiency Technical communication and stakeholder management Shape your career with 3DS! #WeAre3DS

 

For more update:

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Website Link: https://statisticsaward.com/,

Nomination Link: https://statisticsaward.com/award-nomination/,

Registration Link: https://statisticsaward.com/award-registration/,

 


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