Specific contribution expected from the role: Responsible for monitoring batch pipelines, validating dashboards, and performing anomaly detection with root cause analysis.

Requires strong SQL, working knowledge of PySpark/Python, and experience with data pipelines, Azure Data Factory, Databricks, and basic ML workflows.

Involves stakeholder communication, CI/CD monitoring, and continuous improvement through debugging, pattern identification, and data-driven insights. Weekend-focused Data Analyst / ML Support role (Friday Tuesday working, Wednesday Thursday off). Location: Remote. Shift Timing: Normal(Day Shift). End of Curated JD. Job Description: ? 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