Sr. QlikSense Developer
kpg99 inc
Weehawken Township, United States of America
yesterday
Role details
Contract type
Permanent contract Employment type
Full-time (> 32 hours) Working hours
Regular working hours Languages
English Experience level
SeniorJob location
Weehawken Township, United States of America
Tech stack
Adaptable Database Systems
Business Analytics Applications
Data Integration
ETL
Data Mining
Data Visualization
Data Warehousing
Relational Databases
Query Optimization
Power BI
Standard Sql
SQL Databases
Tableau
Qliksense
Information Technology
Star Schema
Job description
- Design, develop, and maintain interactive dashboards and reporting applications using Qlik Sense
- Collaborate with stakeholders to understand reporting needs and key business metrics
- Build and optimize data models for scalable analytics solutions
- Write and optimize SQL queries for data extraction, transformation, and reporting
- Ensure accuracy, consistency, and usability of data across reporting platforms
- Translate complex datasets into meaningful visual insights and dashboards
- Document dashboards, data models, and reporting best practices
- Improve reporting efficiency and streamline analytics workflows
- Integrate and work with structured datasets from multiple internal and external sources
Requirements
- Strong SQL and data modeling expertise
- 5+ years of experience developing dashboards and analytics applications using Qlik Sense
- Experience with relational databases and complex query optimization
- Strong understanding of Business Intelligence concepts and data visualization best practices
- Experience designing scalable data models including star schema and relational modeling
- Ability to gather business requirements and convert them into actionable reporting solutions
- Strong communication and stakeholder management skills
- Experience working with cross-functional teams and business users
- Bachelor's or Master's degree in Computer Science, Engineering, or related field, * Experience with ESG, nonprofit, or philanthropy-related analytics
- Familiarity with ETL processes and data warehousing concepts
- Experience integrating data from multiple sources
- Exposure to other BI tools such as Tableau or Power BI