Bachelor's degree in a quantitative field such as Statistics, Mathematics, Economics, or Computer Science. A Master's or Ph.D. degree is strongly preferred.
2+ years of extensive experience as a Data Analyst,
Proven track record of designing and implementing data analytics strategies and driving successful data-driven initiatives.
Expert proficiency in SQL for data extraction, manipulation, and analysis.
Advanced programming skills in Python/R for statistical analysis, predictive modelling, and machine learning.
In-depth knowledge of statistical analysis techniques, predictive modelling, and advanced machine learning algorithms.
Strong experience with data visualization tools such as Tableau, Power BI, or similar.
Extensive experience with data blending, preprocessing, and automation tools within PowerBi or similar.
Solid understanding of database structures, data warehousing concepts, and data governance principles.
Exceptional analytical and problem-solving skills, with the ability to tackle complex business challenges and provide innovative solutions.
Excellent leadership, strategic thinking, and stakeholder management abilities.
Exceptional communication and presentation skills, with the ability to influence and inspire stakeholders at all levels of the organization.
Proven ability to work independently, manage multiple projects, and prioritize effectively.
