Senior SQL Data Analyst

As a Data Analyst in our company, your role will involve the following key responsibilities: - Conduct exploratory data analysis across multiple data sources to create a single source of truth. - Apply SQL and data modeling skills to design and optimize tables for reporting and analytics. - Perform root cause analysis to support business and product initiatives. - Collaborate with Data Engineers, Campaign, and Optimization teams for data accuracy and quality. - Manage day-to-day deliverables, dashboards, and reporting systems to ensure timely and accurate delivery. - Oversee scheduling, production, and implementation of dashboards and reports. - Review dashboards and reports, suggesting improvements to optimize performance and efficiency. - Troubleshoot data-related issues and document procedures, policies, and tutorials. - Build relationships with stakeholders, including Product Management, Marketing, and Engineering teams, to implement operational improvements. - Analyze historical data and trends to forecast future staffing needs and resource requirements. - Apply various forecasting models such as trend analysis, correlation analysis, and non-stationary models. - Track actual performance against forecasts and recommend corrective actions. - Provide insights for labor cost optimization and service level improvements. - Mentor and guide team members on data analysis, reporting, and visualization best practices. - Support continuous improvement of forecasting methodologies, tools, and processes. As a Data Analyst in our company, your role will involve the following key responsibilities: - Conduct exploratory data analysis across multiple data sources to create a single source of truth. - Apply SQL and data modeling skills to design and optimize tables for reporting and analytics. - Perform root cause analysis to support business and product initiatives. - Collaborate with Data Engineers, Campaign, and Optimization teams for data accuracy and quality. - Manage day-to-day deliverables, dashboards, and reporting systems to ensure timely and accurate delivery. - Oversee scheduling, production, and implementation of dashboards and reports. - Review dashboards and reports, suggesting improvements to optimize performance and efficiency. - Troubleshoot data-related issues and document procedures, policies, and tutorials. - Build relationships with stakeholders, including Product Management, Marketing, and Engineering teams, to implement operational improvements. - Analyze historical data and trends to forecast future staffing needs and resource requirements. - Apply various forecasting models such as trend analysis, correlation analysis, and non-stationary models. - Track actual performance against forecasts and recommend corrective actions. - Provide insights for labor cost optimization and service level improvements. - Mentor and guide team members on data analysis, reporting, and visualization best practices. - Support continuous improvement of forecasting methodologies, tools, and processes.