• Reporting to our Director of BI & Analytics, you will join our data team as a key internal consultant and technical expert. Whether you are a seasoned architect or a rising talent in the analytics space, your primary mission is the same: to move beyond simple reporting and transform complex data into compelling data stories. • This is a high-impact role where technical rigor meets design strategy. You will serve as the bridge between our data infrastructure and our stakeholders, owning the end-to-end data lifecycle. This includes architecting scalable data models and ELT pipelines, as well as partnering directly with business lines to build polished, intuitive Tableau dashboards. • If you are a versatile professional who enjoys both writing complex Python/SQL transformation logic and crafting data stories that answer the "so what?" for leadership, we encourage you to apply. • What you'll do: Visualization & Storytelling • Tableau Design: Design and build highly interactive dashboards that guide users through a clear narrative flow. You don’t just display data; you highlight trends, anomalies, and actionable insights. • UX/UI Strategy: Apply design best practices (layout, color theory, pre-attentive attributes) to ensure dashboards are intuitive, consistent, and reduce cognitive load. • Performance Tuning: Proactively monitor and optimize both SQL queries and Tableau workbooks to ensure fast load times and a seamless user experience. • Data Engineering & Architecture • Data Modeling: Own the design and optimization of dimensional data models (Star Schemas) in BigQuery to create a clean, accessible, and performant "semantic layer" for analytics. • Pipeline Development: Design, build, and maintain scalable ELT / ETL pipelines (using SQL, Python, and orchestration tools) to transform raw data into analytics-ready datasets. • Data Quality & Governance: Establish and advocate for data integrity by implementing automated testing, validation frameworks, and consistent metric definitions. • Strategy & Consultation • Internal Consulting: Act as a trusted advisor to stakeholders. Translate vague business questions into strict technical requirements and analytical stories that get to the root of the problem. • Mentorship: Foster a culture of data literacy by mentoring business users on dashboard interpretation and training junior analysts on SQL best practices. • Documentation: Maintain clear technical documentation for data lineages, metric definitions, and pipeline logic.