AnalyticsLead,DataAnalytics&Modeling

**Hands‑On Technical Leadership** * Design, build, and maintain scalable data models, datasets, and analytical solutions with a focus on correctness, performance, and reusability. * Write, review, and own production‑quality SQL and Python code across data pipelines, transformations, and analytical workflows. * Serve as a technical lead on complex projects—defining approach, driving design decisions, and ensuring high‑quality execution. * Partner closely with data engineering and platform teams to influence data architecture, modeling standards, and tooling. * Ensure analytics solutions are built on trusted, well‑governed, and sustainable data foundations. **Analytics & Solution Delivery** * Lead the delivery of high‑impact dashboards, metrics, and analytical products that support strategic and operational decision‑making. * Translate ambiguous business problems into structured analytical approaches, data models, and technical solutions. * Apply advanced analytical techniques (e.g., statistical analysis, predictive modeling, machine learning where appropriate) to identify trends, risks, and opportunities. * Drive automation and standardization of reporting and analytics workflows to improve scalability and reduce manual effort. * Own outcomes for key deliverables, ensuring timelines, quality, and business impact are met. **Project Leadership & Mentorship** * Lead analytics workstreams across multiple concurrent initiatives, coordinating across stakeholders and ensuring alignment to business priorities. * Mentor and support junior analysts through code reviews, design discussions, and hands‑on coaching. * Promote best practices in data modeling, coding standards, and analytical rigor across the team. * Act as a bridge between business stakeholders and technical teams, ensuring solutions are both business‑relevant and technically sound. * Contribute to shaping analytics priorities and roadmaps, balancing near‑term delivery with long‑term data quality and scalability. *