Bachelor’s or Master’s degree in Data Science, Statistics, Mathematics, Computer Science, or related field.
Over 2-3 years of experience as a data analyst, specializing in processing and extracting insights from complex datasets.
Strong knowledge of SQL and data analysis programming languages (Python).
Proficient in data visualization with advanced expertise in developing Tableau dashboards, along with experience in Power BI and Apache Superset.
Over 3 years of experience in writing and testing SQL queries with expertise in MSSQL and PostgreSQL databases.
Knowledge of statistical analysis and predictive modeling techniques to drive data-driven insights.
Exceptional problem-solving abilities, with a keen analytical mindset to address complex business challenges.
Skills in optimizing and automating analytics processes.
Working experience in data warehouse and ETL.
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Oversee the end-to-end process of data acquisition, preparation, and analysis to deliver actionable insights that drive strategic decision-making.
Leverage advanced analytics and visualization techniques to uncover key trends and present actionable insights to senior leadership with clarity and impact.
Design and develop executive-level dashboards and reports, ensuring they inform high-level decisions
Manage and optimize data systems and databases, ensuring accuracy and resolving data-related issues efficiently.
Create clear reports and presentations for diverse audiences while collaborating with cross-functional teams to meet data needs.
Mentor junior analysts, ensuring consistent methodologies and best practices.
Stay current with industry trends and implement cutting-edge analytics techniques.
