Senior Data Analyst

Job Description As a Senior Data Analyst at our company, you will play a crucial role in analyzing complex data sets to discover trends and insights. Your primary responsibilities will include developing and maintaining data pipelines using AWS and PySpark, writing and optimizing SQL queries for data manipulation, utilizing Python for data analysis and automation, collaborating with teams to meet data requirements and provide insights, creating and managing dashboards and reports for data visualization, and ensuring data quality and integrity across all sources. Key Responsibilities: - Analyze complex data sets to discover trends and insights. - Develop and maintain data pipelines using AWS and PySpark. - Write and optimize SQL queries for data manipulation. - Utilize Python for data analysis and automation. - Collaborate with teams to meet data requirements and provide insights. - Create and manage dashboards and reports for data visualization. - Ensure data quality and integrity across all sources. Required Skills: - Proficiency in AWS/Azure/GCP. - Strong SQL skills for database querying. - Expertise in PySpark for big data processing. - Advanced Python programming abilities. - Excellent analytical and problems solving skills. - Strong communication skills for presenting data effectively. - Ability to work both independently and collaboratively. Qualifications: - Minimum of 5 years of experience in data analysis or related roles. - Demonstrated success in using data to drive business outcomes. If you decide to join us, you can look forward to a competitive salary and benefits, the opportunity to work with cutting-edge technologies, a collaborative and innovative work environment, and career growth and development prospects. As a Senior Data Analyst at our company, you will play a crucial role in analyzing complex data sets to discover trends and insights. Your primary responsibilities will include developing and maintaining data pipelines using AWS and PySpark, writing and optimizing SQL queries for data manipulation, utilizing Python for data analysis and automation, collaborating with teams to meet data requirements and provide insights, creating and managing dashboards and reports for data visualization, and ensuring data quality and integrity across all sources. Key Responsibilities: - Analyze complex data sets to discover trends and insights. - Develop and maintain data pipelines using AWS and PySpark. - Write and optimize SQL queries for data manipulation. - Utilize Python for data analysis and automation. - Collaborate with teams to meet data requirements and provide insights. - Create and manage dashboards and reports for data visualization. - Ensure data quality and integrity across all sources. Required Skills: - Proficiency in AWS/Azure/GCP. - Strong SQL skills for database querying. - Expertise in PySpark for big data processing. - Advanced Python programming abilities. - Excellent analytical and problems solving skills. - Strong communication skills for presenting data effectively. - Ability to work both independently and collaboratively. Qualifications: - Minimum of 5 years of experience in data analysis or related roles. - Demonstrated success in using data to drive business outcomes. If you decide to join us, you can look forward to a competitive salary and benefits, the opportunity to work with cutting-edge technologies, a collaborative and innovative work environment, and career growth and development prospects.