Python Senior Technical Lead - Data Analysis, SQL

Job Summary

We are looking for high-autonomy individuals who meet a rigorous technical and strategic bar.Technical Excellence (The "How")SQL: You are an expert at profiling "messy" data. You don't just query; you build performant views, handle complex joins, and debug at the architectural level.Dynamic Visualization: Proficiency in Looker, Tableau, or Power BI is a baseline. The differentiator is your ability to prioritize user adoption through intuitive design and clear data storytelling.Automation Mindset: A mindset focused on scale. We are looking for people who automate manual reporting and build sustainable, self-service analytics**Strategic Mindset (The "Why")Consultative Leadership: We need proactive problem-solvers who identify data gaps and suggest improvements, not just "ticket takers." We are looking for enterprising resources that go the extra mile.Engineering Rigor: High standards for documentation and code cleanliness are non-negotiable to ensure seamless knowledge transfer across the organization.Preferred Experience2+ years overall industry experience preferably in a Supply Chain data environment.Hands-on Data Analytics, Engineering experience (ETL/ELT, pipeline management).*Key Deliverables & Success Criteria***Technical Execution & PrototypingDeliverable:** Translation of High-Level Designs (HLD) into functional prototypes and, ultimately, production-grade solutions.Assessment: Does the final solution meet all business requirements outlined in the HLD? Is the transition from "prototype" to "production" seamless, or does it require significant rework by FTEs?Data Architecture & Metric Development****Deliverable: Development of optimized SQL queries and the definition of core business metrics.Assessment: Logic accuracy*Visualization & Executive Dashboards***Deliverable: Creation of intuitive, high-fidelity dashboards (PLX Dashboards, Looker etc.).Assessment: User adoption rates and "time-to-insight." We look for dashboards that tell a story at a glance, requiring minimal explanation for executive stakeholders.System Health & Reliability****Deliverable: Implementation of proactive alerts and comprehensive monitoring systems for data pipelines.Assessment: Reduction in "silent failures." Success is defined by the partner identifying and triaging data anomalies before the business stakeholders report them.**Strategic Deep Dives (Good to Have)**Deliverable: Ad-hoc forensic analysis of data to identify root causes of operational anomalies.Assessment: The ability to provide "The So What." We value partners who don't just find a data gap but provide a hypothesis on the operational cause (e.g., identifying a specific node in the supply chain causing lead-time lag).

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