Senior Data Analyst

As a Business Data Analyst, your role will involve managing business data, creating reports, and developing dashboards to facilitate informed decision-making. You will utilize analytics tools, cloud platforms, and AI technologies to offer valuable insights, reporting solutions, and data-driven recommendations for various business functions. Key Responsibilities: - Analyze and interpret structured and unstructured business data effectively. - Design dashboards and reports using tools like Power BI and other Business Intelligence (BI) platforms. - Generate visual reports showcasing trends, patterns, and business performance indicators. - Extract, validate, and report on data from SQL databases. - Develop and oversee ETL workflows to ensure efficient data flow and transformation. - Implement Python for automation, reporting, and analysis tasks. - Collaborate closely with business and technical teams to understand reporting requirements. - Deliver accurate insights and analytical reports to aid in business planning. - Create data models and reporting frameworks to enhance analytics performance. - Provide data-backed recommendations and business insights to management teams. - Enhance reporting systems and dashboard usability for end users. - Utilize AI-powered tools and Generative AI technologies to enhance analytics work. - Utilize AWS, Azure, and GCP cloud platforms for analytics-related activities. - Identify business trends and opportunities through thorough data review. - Maintain data quality, consistency, and reporting accuracy across projects. - Document reports, dashboards, and analytics processes effectively. - Coordinate with various departments to enhance reporting and data support. - Share regular findings and updates with stakeholders and management. Required Skills: - Proficiency in Power BI, SQL, Python, and dashboard development. - Experience in ETL design and data transformation workflows. - Strong understanding of business intelligence and data reporting principles. - Familiarity with Tableau and other data visualization tools. - Knowledge of data analytics, business reporting, and data modeling techniques. - Experience working on cloud platforms such as AWS, Azure, or GCP. - Understanding of AI tools and Generative AI technologies. - Familiarity with predictive analytics and business forecasting approaches. - Strong analytical thinking and problem-solving capabilities. - Ability to handle large datasets and generate meaningful reports. - Excellent communication and stakeholder management skills. - Capability to explain reports and insights in clear business terms. - Experience in team-oriented and deadline-driven environments. - Strong documentation and presentation abilities. - Self-driven mindset with the ability to manage tasks independently. Education: - Bachelor's or Master's degree in Computer Science, IT, or equivalent qualification (BCA / MCA). Job Type: Full Time Job Location: Chennai, Gurugram Work Mode: Onsite Experience: 4 to 8 Years As a Business Data Analyst, your role will involve managing business data, creating reports, and developing dashboards to facilitate informed decision-making. You will utilize analytics tools, cloud platforms, and AI technologies to offer valuable insights, reporting solutions, and data-driven recommendations for various business functions. Key Responsibilities: - Analyze and interpret structured and unstructured business data effectively. - Design dashboards and reports using tools like Power BI and other Business Intelligence (BI) platforms. - Generate visual reports showcasing trends, patterns, and business performance indicators. - Extract, validate, and report on data from SQL databases. - Develop and oversee ETL workflows to ensure efficient data flow and transformation. - Implement Python for automation, reporting, and analysis tasks. - Collaborate closely with business and technical teams to understand reporting requirements. - Deliver accurate insights and analytical reports to aid in business planning. - Create data models and reporting frameworks to enhance analytics performance. - Provide data-backed recommendations and business insights to management teams. - Enhance reporting systems and dashboard usability for end users. - Utilize AI-powered tools and Generative AI technologies to enhance analytics work. - Utilize AWS, Azure, and GCP cloud platforms for analytics-related activities. - Identify business trends and opportunities through thorough data review. - Maintain data quality, consistency, and reporting accuracy across projects. - Document reports, dashboards, and analytics processes effectively. - Coordinate with various departments to enhance reporting and data support. - Share regular findings and updates with stakeholders and management. Required Skills: - Proficiency in Power BI, SQL, Python, and dashboard development. - Experience in ETL design and data transformation workflows. - Strong understanding of business intell