Data Analyst Python & Sql

Job Description: You will be responsible for analyzing data using SQL and Python to derive insights and support decision-making processes. Your main role will involve performing data analysis, data modeling, and ETL processes. Your strong analytical skills and proficiency in SQL and Python will be crucial in this role. Key Responsibilities: - Analyze data using SQL queries, including joins, CTEs, and window functions for performance tuning. - Utilize Python libraries such as Pandas, NumPy, and Matplotlib/Seaborn for data analysis and visualization. - Work with data visualization and BI tools like Power BI and Tableau to create interactive dashboards. - Apply your understanding of data modeling, ETL concepts, and data warehousing to support business requirements. - Collaborate with cross-functional teams to provide data-driven insights and recommendations. - Continuously improve data quality and efficiency through data analysis and process optimization. Qualifications Required: - Bachelors degree in Computer Science, Statistics, Mathematics, Engineering, or related field. - Minimum of 4 years of experience as a Data Analyst or in a similar role. - Strong proficiency in SQL with experience in joins, CTEs, window functions, and performance tuning. - Hands-on experience with Python libraries such as Pandas, NumPy, and Matplotlib/Seaborn. - Familiarity with data visualization and BI tools like Power BI, Tableau, etc. - Excellent analytical, problem-solving, and communication skills to effectively convey data insights. Note: No additional details of the company were provided in the job description. Job Description: You will be responsible for analyzing data using SQL and Python to derive insights and support decision-making processes. Your main role will involve performing data analysis, data modeling, and ETL processes. Your strong analytical skills and proficiency in SQL and Python will be crucial in this role. Key Responsibilities: - Analyze data using SQL queries, including joins, CTEs, and window functions for performance tuning. - Utilize Python libraries such as Pandas, NumPy, and Matplotlib/Seaborn for data analysis and visualization. - Work with data visualization and BI tools like Power BI and Tableau to create interactive dashboards. - Apply your understanding of data modeling, ETL concepts, and data warehousing to support business requirements. - Collaborate with cross-functional teams to provide data-driven insights and recommendations. - Continuously improve data quality and efficiency through data analysis and process optimization. Qualifications Required: - Bachelors degree in Computer Science, Statistics, Mathematics, Engineering, or related field. - Minimum of 4 years of experience as a Data Analyst or in a similar role. - Strong proficiency in SQL with experience in joins, CTEs, window functions, and performance tuning. - Hands-on experience with Python libraries such as Pandas, NumPy, and Matplotlib/Seaborn. - Familiarity with data visualization and BI tools like Power BI, Tableau, etc. - Excellent analytical, problem-solving, and communication skills to effectively convey data insights. Note: No additional details of the company were provided in the job description.