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Python Senior Technical Lead \- Data Analysis, SQL
Hyderabad, Telangana
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 Experience** 2\+ 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 \& Prototyping** **Deliverable:** 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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