Required Skills: Robust 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.