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.