Senior Qlik Visualization (AI-Enabled Analytics)

Senior Qlik Visualization (AI-Enabled Analytics)

Position Overview
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
Qualifications
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