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.