Key responsibilities:

• Support and monitor weekend batch loads, ensuring timely and accurate execution
• Perform outlier detection and root cause analysis for issues such as demand forecast drops or anomalies
• Translate findings into clear insights and communicate them effectively to leads and stakeholders
• Monitor scheduled jobs and data pipelines to ensure successful execution
• Validate dashboard outputs and analyze data trends, anomalies, and inconsistencies
• Support basic model validation and output analysis (e.G., forecast vs actuals, error trends)
• Write and optimize SQL queries and PySpark transformations for debugging and analysis
• Identify patterns in recurring failures and recommend improvements
• Work with data science and engineering teams to debug model or data-related issues
• Escalate issues when required, with clear analysis and supporting insights
• Monitor workflows in Azur...