Qlik Visualization (AI-Enabled Analytics)

Penske is seeking a highly skilled Senior Data Analyst specializing in Qlik visualization and next-generation analytics to join our Connected Data organization. This role plays a critical part in transforming complex data into impactful insights that drive operational excellence and decision-making across the enterprise. In addition to traditional BI capabilities, this role will help shape the evolution of reporting and dashboards through AI-enabled analytics, semantic modeling, and intelligent data experiences. You will contribute to advancing how users interact with data-from static dashboards to dynamic, conversational, and predictive insights. You will partner closely with data engineering, integration, and business stakeholders to ensure high-quality data delivery while designing intuitive and scalable Qlik dashboards. This position sits at the intersection of data integration, data quality, business intelligence, and emerging AI-driven analytics, making it ideal for someone who thrives in a fast-paced, data-driven environment. Key Responsibilities Qlik Visualization, Reporting & AI-Driven Insights

• Design, develop, and maintain interactive dashboards and reports using Qlik Sense / QlikView

• Translate business requirements into effective visualizations and KPIs
• Optimize Qlik applications for performance, scalability, and usability
• Establish and enforce visualization standards and best practices

• Evolve traditional dashboards into augmented analytics experiences (e.g., automated insights, anomaly detection, and narrative summaries)

• Enable self-service and conversational BI capabilities by supporting semantic layers and natural language query interfaces

• Integrate AI/ML-driven insights (forecasting, trend detection, root cause analysis) into reporting solutions

• Partner with stakeholders to shift from descriptive reporting to predictive and prescriptive analytics Data Integration, Modeling & Semantic Layer Development

• Collaborate with data engineering teams to support Connected Data integration initiatives

• Build and maintain data models optimized for analytics, reporting, and AI consumption

• Perform data transformation and validation to ensure consistency across sources

• Develop and enhance semantic data layers that standardize business logic and enable scalable analytics across BI and AI tools

• Support the adoption of modern data architectures (lakehouse, cloud-based, API-driven data access) Data Quality, Governance & Trust in AI

• Monitor and improve data quality across multiple systems and pipelines
• Identify data anomalies, root causes, and recommend corrective actions
• Support data governance initiatives, including documentation and lineage tracking

• Ensure data readiness for AI use cases, including reliability, explainability, and consistency of outputs

• Contribute to establishing standards for trusted data products and AI-enabled reporting Support, Innovation & Stakeholder Engagement

• Act as a key point of contact for business users regarding reporting and analytics needs

• Provide support, troubleshooting, and enhancements for existing Qlik applications

• Work closely with cross-functional teams to prioritize and deliver analytics solutions

• Educate business users on new analytics capabilities, including AI-driven insights and self-service tools

• Continuously evaluate and pilot emerging technologies in BI, AI, and data visualization to improve user experience and decision-making

Required

• Bachelor’s degree in Data Analytics, Computer Science, Information Systems, or related field

• 5+ years of experience in data analytics or business intelligence roles
• Strong expertise in Qlik Sense and/or QlikView development
• Experience with data modeling, ETL processes, and relational databases (SQL)
• Demonstrated knowledge of data quality principles and data governance

• Strong analytical, problem-solving, and communication skills Preferred

• Experience working in enterprise data integration environments
• Familiarity with cloud data platforms (AWS preferred)
• Experience with scripting languages or tools (Python, PowerShell, etc.)
• Exposure to AI/ML concepts or augmented analytics platforms
• Experience building or supporting semantic layers or metrics layers
• Familiarity with natural language query tools, copilots, or conversational BI

• Knowledge of transportation, logistics, or fleet data (a plus) Key Competencies

• Data storytelling and visualization excellence
• Attention to detail and data accuracy
• Cross-functional collaboration
• Proactive problem-solving mindset
• Ability to manage multiple priorities in a dynamic environment
• Curiosity and innovation in applying AI to analytics and reporting
• Ability to translate emerging technologies into practical business value
• User-centric mindset focused on simplifying access to insight