Qlik Sense Specialist

Qlik Sense Specialist

Work Setup: Hybrid (3 days onsite, 2 days WFH)
Shift: Morning Shift (9:00 AM onwards)
Location: Manila

Join our Data Engineering team and help transform data into actionable business insights. We're looking for a Qlik Sense Specialist with strong dashboard development, data modeling, and SQL expertise to design and deliver high-impact analytics solutions for business stakeholders.

What You'll Do

• Design, develop, and maintain Qlik Sense dashboards and analytical applications.
• Work with Data Engineers to integrate and model data from Snowflake, SQL Server, and other data sources.
• Build visualizations, KPIs, and reporting solutions that support business decision-making.
• Optimize dashboard performance, scalability, and usability.
• Gather requirements from stakeholders and translate them into effective analytics solutions.
• Perform testing, validation, documentation, and ongoing enhancements of Qlik applications.

What We're Looking For

• 4–7 years of experience in Qlik Sense development, data modeling, and visualization.
• Strong SQL skills and experience integrating data from multiple sources.
• Hands-on experience with Qlik Data Load Scripting, Section Access, and application deployment.
• Solid understanding of data architecture and modern data warehouse environments.
• Experience working in Agile delivery environments.
• Strong communication and stakeholder management skills.
• Bachelor's degree in Computer Science, Information Systems, Data Engineering, or a related field.

Key Skills

• Qlik Sense Dashboard Development & Visualization
• Qlik Data Load Scripting & Section Access
• Data Modeling & Architecture
• Advanced SQL & Data Integration (Snowflake, SQL Server)
• Dashboard Performance Optimization & Scalability
• Requirements Gathering & KPI Definition
• Testing, Validation & Documentation
• Agile Delivery Methodologies

Nice to Have

• Experience with private equity, financial services, or investment management data.
• Exposure to AWS and cloud-based data platforms.
• Familiarity with data governance, automation, or integration tools.