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Title: Senior Qlik Visualization (AI-Enabled Analytics)

Location: Reading, PA--Hybrid

Department: Connected Data – Integration, Data Quality & Support

 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 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, explain ability, 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