TELECOMMUTE Data Analyst

Our client is seeking a highly skilled Senior Data Analyst specializing in Qlik visualization and next-generation analytics. 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., * Design and maintain Qlik dashboards by building interactive Qlik Sense and QlikView applications

• Translate business needs into visuals by converting requirements into clear KPIs and intuitive visualizations
• Optimize Qlik performance by improving application scalability, speed, and user experience
• Apply visualization best practices by ensuring consistent, intuitive, and standardsaligned dashboard design
• Develop augmented analytics features by incorporating automated insights, anomaly detection, and narrative summaries
• Enable selfservice and conversational BI by supporting semantic layers and naturallanguage query capabilities
• Integrate AI and ML insights by incorporating forecasting, trend detection, and rootcause analysis
• Advance predictive and prescriptive analytics by helping stakeholders move beyond descriptive reporting
• Collaborate on data integration initiatives by partnering with data engineering on Connected Data efforts
• Build analyticsoptimized data models by creating structures suited for BI, reporting, and AI workloads
• Perform data transformation and validation by standardizing and verifying data across multiple sources
• Develop semantic data layers by defining reusable business logic for BI and AI tools
• Support modern data architectures by contributing to lakehouse, cloud, and APIdriven data strategies
• Monitor and improve data quality by tracking quality metrics across systems and pipelines
• Identify and resolve data anomalies by diagnosing issues and recommending corrective actions
• Support data governance by maintaining documentation, lineage, and governance standards
• Ensure AI data readiness by validating reliability, explainability, and consistency for AI use cases
• Develop trusted data products by contributing to standards for highquality, AIenabled reporting
• Serve business stakeholders by acting as a primary contact for reporting and analytics needs
• Support and enhance Qlik applications by troubleshooting issues and delivering improvements
• Deliver analytics solutions by partnering with crossfunctional teams to prioritize and execute work
• Educate users on analytics capabilities by training them on AIdriven insights and selfservice tools
• Evaluate emerging BI and AI technologies by piloting new tools to enhance decisionmaking

• 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 We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.