Familiar with VSCode and Databricks Ideally * Ability to interpret telemetry and pipeline outputs in business context, including communicating uncertainty and known limitations * Comfort working across multiple data sources/layers and explaining differences in source-of-truth, grain, and transformations * Comfort with modern analytics tooling (including AI-assisted development) while maintaining reproducibility and reviewable outputs * Dashboarding & data visualization: Power BI, Tableau, Qlik, advanced excel / PowerPoint or similar; ability to build stakeholder-ready reporting * Data quality and governance: profiling, anomaly detection, metric validation, and documentation * Strong documentation habits for metric definitions, data lineage, and stakeholder guidance; familiarity with version control (e.g., Git) a plus. * Applied statistics: sampling, confidence intervals, and basic experiment/pre-post evaluation **Cross-Org Skills** * Effective Communication * Results Orientation * Learning Agility * Digital Fluency * Customer Centricity * Collaboration across technical and non-technical teams **Impact & Scope** * Impacts function by providing analytics and data quality validation that supports business-critical reporting and stakeholder decision-making for laser telemetry KPIs * Serves as a key point of contact for laser telemetry interpretation and investigation requests, partnering across teams to drive consistent definitions and reliable use of outputs **Complexity** * Responds to moderately complex issues within established guidelines.