SQL / Qlik Cloud Specialist
Position summary
Introduction
Job description
Key Responsibilities
· Design, develop, maintain and enhance SQL applications, ETL processes, databases and reports.
· Develop and maintain Qlik Cloud dashboards, data models and self-service analytics applications for internal stakeholders and external customers.
· Perform data analysis by writing relational and multidimensional database queries.
· Support other BI applications through the provision of accurate and timely data.
· Analyse and manage BI data sources.
· Perform root cause analyses, fixing bugs where required.
· Respond to business requests for data and reporting.
· Assist with requirements gathering, creating technical specification documentation and development of new requirements. This includes implementing advanced insights models for business and customers using advanced analytical techniques.
· Ensure compliance with data governance standards including data integrity, completeness and POPIA compliance.
· Actively assisting in the testing of new solutions.
· Technical knowledge sharing to the rest of the team.
· Actively explore AI solutions to create meaningful insights into our data for both internal and external stakeholders.
Minimum requirements
· At least a Bachelor’s Degree in Computer Science, Information Systems or related field, or equivalent work experience.
· At least 5–8 years’ IT work experience in programming and/or systems analysis, including T-SQL, MS SQL Server, SSIS and SSRS.
· At least 4–6 years’ hands-on experience with Qlik Sense or Qlik Cloud (SaaS), including dashboard development, data load scripting, data modelling and set analysis.
· Knowledgeable in SQL and ETL programming languages.
· At least 4–6 years’ experience in data warehousing and advanced data analytics, including dimensionally modelled warehouses.
· Solid knowledge and experience with technology and application development methodologies.
· Experience with Qlik NPrinting or Qlik Application Automation would be advantageous.
· Knowledge of Big Data tools and skills on Cloud platforms like Azure would be advantageous, but not critical.
· A reasonable understanding of networking and server infrastructure will be advantageous.
· This position will require occasional long and irregular hours which will be compensated for time off in lieu of overtime worked.