Create and implement sophisticated predictive models to enable strategic planning and enhance operational efficiency, providing actionable insights and strategic recommendations for entreprenurs, small and medium enterprises, and global corporations.



Core Responsibilities:



Build and implement sophisticated predictive models (e.g., regressions, logistic models, random forest, XGBoost, neural networks, etc.) to solve strategic and operational challenges for data-intensive products that enable data-driven decisions.
Implement systems to monitor and communicate key performance indicators (KPIs) and generate Business Intelligence that generate actionable insights and strategic recommendations.
Collaborate with multidisciplinary product teams to understand their needs, define analytical requirements, and deliver insights that enable strategic decision-making.
Lead initiatives to improve data analysis efficiently at Konfront, ensuring that our analytical processes are cutting-edge and effective.




What we need:

Expertise in advanced data analysis techniques with experience in using statistical tools and methods for both descriptive and inferential analysis.
Effective communication skills to dissect, explore and convey complex data sources into insights clearly and persuasively through reports, presentations, and data visualizations, influencing strategic decision-making.
Critical, creative, and innovative thinking with intellectual curiosity and a drive to learn about industries, trends, and emerging technologies.
Autonomous, iterative, and agile learning to master tools such as Python, R, Alteryx, Tableau, PowerBI, and Excel.