Engineer Data Visualization And

Engineer, Data Visualization And Business Intelligence

Known for being a great place to work and build a career, KPMG provides audit, tax and advisory services for organizations in today\'s most important industries. Our growth is driven by delivering real results for our clients. It\'s also enabled by our culture, which encourages individual development, embraces an inclusive environment, rewards innovative excellence and supports our communities. With qualities like those, it\'s no wonder we\'re consistently ranked among the best companies to work for by Fortune Magazine, Consulting Magazine, Seramount, Fair360 and others. If you\'re as passionate about your future as we are, join our team. KPMG is currently seeking an Engineer, Data Visualization and Business Intelligence to join our Digital Nexus technology organization. This is a hybrid work opportunity. Responsibilities include designing and delivering interactive Power BI dashboards that clearly communicate actionable insights to stakeholders; contributing strategic thought leadership to shape the firm\'s business intelligence vision and standards; empowering the BI community through governance guidance, training and cross-functional collaboration; guiding the firm\'s Power BI and Alteryx communities by developing and acquiring content for Community of Practice presentations; applying critical thinking and creativity to design innovative, non-standard BI solutions that address complex and evolving business challenges; designing, building and optimizing data models to support analytics; staying ahead of emerging technologies including Generative AI and AI agents; designing and maintaining scalable data pipelines using Azure Data Factory and Databricks; and developing production-grade ETL/ELT solutions using PySpark and SQL to produce analytics-ready Delta Lake datasets aligned with enterprise standards. Qualifications include minimum one year of recent experience working in analytics including data sourcing, data integration, data analysis, data visualization, business intelligence, statistical analysis, or data science; and a bachelor\'s degree from an accredited college.