Sr. Qlik Sense Developer
Title: Sr. Qlik Sense Developer
Location: Jacksonville, FL
Interview: Video + Client video interview
Hybrid 3 days a week from office.
Experience: 08+ Years
Job Summary:
- We are seeking a skilled and detail-oriented Qlik Sense Developer to design, develop, and maintain interactive data visualizations and dashboards that support strategic business decisions.
- The ideal candidate will have strong experience in data modelling, scripting, and Qlik Sense development, with a deep understanding of business intelligence (BI) best practices and data storytelling.
Key Responsibilities:
- Develop and maintain Qlik Sense dashboards and applications based on business requirements.
- Perform data integration, transformation, and modelling using Qlik scripting and data load editor.
- Collaborate with business analysts, stakeholders, and data engineers to gather and analyze requirements.
- Optimize data models and dashboard performance for scalability and efficiency.
- Implement security rules and user access controls within Qlik Sense.
- Create visualizations that effectively communicate insights and KPIs to non-technical audiences.
- Conduct unit testing and troubleshoot issues in existing Qlik Sense reports and scripts.
- Document design specifications, technical procedures, and user guides.
- Monitor BI system performance and recommend improvements as needed.
- Stay updated on Qlik product releases and industry BI trends.
Qualifications:
Required:
- Bachelor's degree in Computer Science, Information Systems, Data Analytics, or a related field.
- 8+ years of hands-on experience in Qlik Sense development.
- Proficiency in SQL and data modelling concepts.
- Experience with ETL processes and integrating data from various sources (databases, APIs, Excel, etc.).
- Strong understanding of Qlik Sense architecture and deployment.
- Ability to write complex Qlik scripting and expressions.
- Excellent problem-solving and communication skills.
Preferred:
- Experience with Qlik NPrinting, QlikView, or other BI tools.
- Familiarity with cloud platforms like AWS, Azure, or GCP.
- Knowledge of data warehousing concepts and tools (e.g., Snowflake, Redshift, BigQuery).
- Experience with Agile or Scrum methodologies.
Soft Skills:
- Analytical mindset with attention to detail.
- Strong collaboration and stakeholder management skills.
- Ability to work independently and manage multiple tasks.
- Proactive in identifying problems and proposing effective solutions.
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