Data Analyst with SQL and Python expertise

- Conduct thorough analysis of structured and unstructured data to identify patterns, trends, and correlations - Create visually engaging dashboards, reports, and presentations to effectively communicate complex data insights - Extract data from diverse sources, using it to derive conclusions and clearly communicate analytical findings to senior management - Serve as a link between key stakeholders and the data team to convert business requirements into actionable report designs - Employ visualization tools like Tableau or Power BI to present information succinctly and compellingly - Collaborate with business stakeholders and executives to understand their analytical requirements and deliver data-driven insights to aid strategic decision making - Identify key performance indicators (KPIs) and develop metrics for measuring and tracking business performance - Work alongside data, operations, sales teams, and other stakeholders to establish data requirements and implement analytical models - Keep abreast of industry trends, emerging technologies, and best practices in data analysis and visualization - Identify opportunities to refine data analysis methods, tools, and processes and implement those improvements - Provide expertise on data storage, structure, processes, cleaning, and manipulation related to reporting and visualization - Oversee the companys reporting environments, including user management and oversight - Collaborate with cross-functional teams on data projects and initiatives to ensure timely completion - Train end users on new reports, dashboards, and reporting tools such as Tableau and Power BI - Troubleshoot reporting database issues and amend them efficiently - Ensure data accuracy and integrity during business changes across all stages of the development lifecycle (design, develop, test, rollout)