Senior Data Analyst

Job Description As a Senior Data Analyst, you will play a crucial role in analyzing complex data sets to uncover trends and insights. Your expertise in AWS, SQL, PySpark, Databricks, and Python will be essential in developing and maintaining data pipelines, writing optimized SQL queries, and utilizing Python for data analysis and automation. Collaboration with cross-functional teams to fulfill data requirements and provide valuable insights will be a key part of your responsibilities. Additionally, you will be responsible for creating and managing dashboards and reports for data visualization, ensuring data quality and integrity from 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. Qualifications Required: - 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. - Minimum of 5 years of experience in data analysis or related roles. Demonstrated success in using data to drive business outcomes. Why Join Us: - Competitive salary and benefits. - Opportunity to work with cutting-edge technologies. - Collaborative and innovative work environment with career growth and development prospects. As a Senior Data Analyst, you will play a crucial role in analyzing complex data sets to uncover trends and insights. Your expertise in AWS, SQL, PySpark, Databricks, and Python will be essential in developing and maintaining data pipelines, writing optimized SQL queries, and utilizing Python for data analysis and automation. Collaboration with cross-functional teams to fulfill data requirements and provide valuable insights will be a key part of your responsibilities. Additionally, you will be responsible for creating and managing dashboards and reports for data visualization, ensuring data quality and integrity from 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. Qualifications Required: - 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. - Minimum of 5 years of experience in data analysis or related roles. Demonstrated success in using data to drive business outcomes. Why Join Us: - Competitive salary and benefits. - Opportunity to work with cutting-edge technologies. - Collaborative and innovative work environment with career growth and development prospects.