Senior Analyst

Summary:

We are building a modern data foundation designed to deliver real-time visibility, predictive insight, and operational confidence. This includes automated alerting pipelines sourced from the Data Lake, live operational dashboards built in Grafana and Qlik, and an emerging layer of AI-assisted decision support through ICS Pulse. These systems evolve continuously as the business grows, new queues are added, schemas change, and operational complexity increases.

Responsibilities:

• Own the full lifecycle of operational data intelligence&mdashfrom raw ingestion to final output consumed by operations managers in real time.
• Diagnose data inconsistencies, build resilient pipelines, design meaningful dashboards, and create automated systems that reduce manual effort while increasing trust in data.
• Understand not just what the data says, but how it is generated, where it flows, how it can fail, and how to make it more reliable.
• Act as a force multiplier for the Command Center by making its intelligence layer stronger, faster, and more dependable with each iteration.

Requirements:

• Experience in data engineering, analytics, and operations.
• Proficiency in SQL queries and production-ready Python scripts.

Required Skills:

• Ability to seamlessly switch between investigative SQL queries and production-ready Python scripts.
• Comfortable digging into anomalies at the queue level while also thinking about how to prevent similar issues through automation or better system design.

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