Senior Data Analyst

Architect, build, and maintain sophisticated Power BI dashboards, reports, and semantic data models. Develop advanced DAX measures, Power Query transformations, and optimized data models to support reporting and analytics needs. Establish reporting, visualization, and data governance standards to improve consistency and data quality. Translate complex business requirements into intuitive and scalable reporting solutions. Partner with stakeholders to define metrics, KPIs, and reporting requirements that drive business outcomes. Optimize report performance, refresh strategies, and data reliability across enterprise environments. Influence reporting strategy and establish bestpractices for dashboard development, performance optimization, and data visualization. Drive continuous improvement through analytics, automation, and operational excellence initiatives. Bachelor's Degree in Computer Science, Information Technology (IT), or related field AND 5+ years of technical support, technical consulting, analytics, reporting, or information technology experience o OR 7+ years of technical support, technical consulting experience, or information technology experience Advanced data analytics skills — deep exploratory data analysis, metric and KPI definition, segmentation, cohort and trend analysis, and driving business decisions from data. Advanced dashboard-building and visualization skills — advanced interactivity, UX, and visualization design. Data storytelling — translating complex analyses into compelling data stories through enhanced visualizations in Power BI, Python (e.g., matplotlib, seaborn, plotly), or other tools. Deep experience with Power BI Service, deployment pipelines, and row-level security. Experience with large-scale data warehouses and star-schema design. Track record of building widely adopted, high-performance reporting solutions. Advanced data modeling skills — complex DAX, Power Query (M), and dimensional/star-schema modeling. Advanced proficiency in SQL.