Data Analyst

Required Skills

Strong proficiency in Python for data analysis.Strong knowledge of SQL, including joins, subqueries, CTEs, window functions, and aggregations.Hands-on experience with Tableau or Power BI for dashboard development and data visualization.Good understanding of data cleaning, transformation, and exploratory data analysis.Strong analytical and problem-solving skills.Ability to work with large datasets and derive meaningful insights.Good understanding of data visualization principles.Strong communication and stakeholder-management skills.Good to Have:Experience with Pandas, NumPy, Matplotlib/Seaborn or similar Python libraries.Knowledge of data warehousing and ETL concepts.Experience with cloud platforms such as AWS, Azure, or GCP.Familiarity with statistical concepts and basic predictive analytics.Experience working with business KPIs and performance reporting.