Senior Analytics and Visualization Engineer

Overview In this role you will craft AI-enabled dashboards and decision-support tools for the Digital Command Center, translating complex data into actionable insights. You will work with cross-functional teams to shape concepts, define metrics, and deliver interactive dashboards that inform strategic decisions. You’ll blend analytics engineering with product thinking, briefing technical and executive audiences and iterating based on stakeholder feedback. This position offers impact at scale by turning data into trusted narratives that guide critical operations. Compensation / Benefitsdiscretionary bonusovertime eligibilityshift differentialcompetitive compensation range $104,000 - $166,000benefits and protections per company policy ResponsibilitiesTranslate ambiguous stakeholder needs into dashboard concepts, requirements, metrics, and analytical workflowsDefine KPIs, thresholds, scoring logic, and analytical methods for DCC productsAssess data quality, completeness, timeliness, lineage, and usabilityAnalyze structured and semi-structured data to identify trends, gaps, anomalies, and insightsPartner with data teams, systems engineers, AI/ML scientists, and stakeholders to ensure data accuracy and trustDefine dashboard information architecture, navigation, filters, drilldowns, alerts, and domain viewsDesign, develop, test, and maintain interactive dashboards and analytical apps using AI, low-code tools, and coding as neededValidate AI-generated code, queries, metrics, and visualizationsCreate data narratives that explain what happened, why it matters, and recommended actionsLead dashboard demonstrations and briefings for technical, program, and executive audiencesGather user feedback and translate into prioritized enhancements and product roadmapContribute to dashboard standards, templates, visualization components, and documentation Key requirements8+ years with BS/BA, 6+ years with MS/MA, or 3+ years with PhD in Data Science, CS, IS, Analytics, Statistics, Math, OR, HCI, Data Visualization or related fieldProficiency with Python, SQL, JavaScript, TypeScript, R or similar languagesProficiency with one or more dashboard/visualization platformsExperience with relational data, JSON, CSV, Parquet, APIs, and cloud-hosted datasetsStrong understanding of data visualization, information hierarchy, and usabilityFamiliarity with LLMs, prompt engineering, AI-assisted code generation, and human-in-the-loop reviewExperience developing production-quality dashboards/analytical appsExperience defining and validating metrics, KPIs, analytical logic, trend analyses, scoring modelsExperience translating operational needs into analytical requirements and measurable outputsAbility to inspect, validate, and troubleshoot AI-generated outputsProven ability to communicate findings to senior leaders and stakeholdersStrong analytical judgment, creativity, communication, and adaptability with evolving requirementsUS Citizenship with ability to obtain FAA Public TrustEffective communication and storytellingStakeholder engagement and collaborationProduct mindset and strategic thinkingPython, SQL, JavaScript, TypeScript, RDashboard/visualization platforms (Tableau, Power BI, Grafana, Plotly, Dash, Streamlit, Superset, Qlik, Looker, D3.js, Vega-lite, Highcharts, ECharts, ArcGIS)Databricks, Snowflake, Microsoft Fabric, Azure Synapse, data lakes/warehouses/lakehouses