Key Responsibilities: • Report Automation: • Design, develop, and maintain automated reporting systems to streamline report generation and distribution processes. • Utilize scripting languages (e.g., Python, R) and tools (e.g., SQL, ETL tools) to automate data extraction, transformation, and loading (ETL) processes. • Data Management: • Ensure the integrity, accuracy, and timeliness of data used in reports. • Develop and manage data pipelines and workflows to support automated reporting. • Report Design and Development: • Create and customize reports and dashboards to meet business requirements using tools like Tableau, Power BI, Excel, or similar. • Ensure that reports are user-friendly and effectively communicate key insights to stakeholders. • Process Improvement: • Identify opportunities for process improvements and automation within reporting workflows. • Implement best practices for report automation and data handling to enhance efficiency. • Collaboration and Support: • Work closely with business analysts, data engineers, and other stakeholders to gather requirements and ensure alignment with business objectives. • Provide support and training to end-users on automated reporting tools and processes. • Quality Assurance: • Conduct thorough testing of automated reports and data pipelines to ensure accuracy and reliability. • Troubleshoot and resolve issues related to report generation and data automation. Required Skills and Qualifications: • Education: Bachelor’s degree in Computer Science, Data Science, Mathematics, Statistics, Business Analytics, or a related field. Advanced degrees or certifications are a plus. • Experience: • Proven experience in report automation and data analysis. • Proficiency in programming languages such as Python or R for automation tasks. • Experience with SQL for data extraction and manipulation. • Hands-on experience with reporting and visualization tools such as Tableau, Power BI, or Excel. • Technical Skills: • Strong understanding of data management, ETL processes, and database systems. • Familiarity with cloud-based data platforms (e.g., AWS, Azure, Google Cloud) is an advantage. • Knowledge of scripting and automation tools (e.g., Bash, PowerShell) is beneficial. • Soft Skills: • Excellent analytical and problem-solving skills. • Strong attention to detail and ability to work with complex datasets. • Effective communication skills, both written and verbal. • Ability to work independently as well as part of a team. Preferred Skills and Qualifications: • Experience with advanced analytics or machine learning techniques. • Familiarity with Agile or other project management methodologies. • Experience in a similar industry or domain. has context menu has context menu