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.

Data Analyst

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