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
Required Skills:
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.