Bachelor's or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.
Proven experience as a Data Analyst or in a similar role, with a strong focus on SQL.
Proficiency in SQL, with the ability to write, optimize, and maintain complex queries.
Experience with data visualization tools (e.g., QlikSense., Tableau)
Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.
Experience with statistical analysis and data mining techniques.
Knowledge of programming languages such as Python or R is a plus.
Excellent communication skills, with the ability to present complex data insights to non-technical stakeholders.
Strong problem-solving skills and a proactive approach to identifying and addressing data-related issues.
Preferred Qualifications:
Experience with machine learning algorithms and predictive modeling.
Knowledge of big data technologies (e.g., Hadoop, Spark) is a plus.
Familiarity with cloud-based data platforms (e.g., AWS, Google Cloud, Azure).