Qlikview Qlik Sense Visualization (AI-Enabled Analytics)

Qlik Visualization (AI-Enabled Analytics) Department: Connected Data – Integration, Data Quality & Support Position Overview 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 • 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 insights