Qlik

Term from Data Analytics industry explained for recruiters

Qlik is a business analysis and data visualization tool that helps companies make sense of their information. Think of it like a smart assistant that takes complex business data and turns it into easy-to-understand charts, graphs, and reports. Companies use Qlik to spot trends, make better decisions, and share insights across teams. It's similar to other tools like Tableau or Power BI. Instead of spending hours in spreadsheets, people use Qlik to quickly answer business questions and create interactive dashboards that update automatically when new data comes in.

Examples in Resumes

Created interactive business dashboards using Qlik and QlikView to track sales performance

Developed Qlik Sense applications for financial reporting and analysis

Led training sessions for business teams on using QlikView and Qlik Sense dashboards

Typical job title: "Qlik Developers"

Also try searching for:

Business Intelligence Developer Data Analyst Qlik Developer BI Developer Data Visualization Specialist Business Intelligence Analyst Qlik Consultant

Where to Find Qlik Developers

Example Interview Questions

Senior Level Questions

Q: How would you optimize a large Qlik application's performance?

Expected Answer: A senior developer should discuss data model optimization, reducing unnecessary data loading, proper use of aggregations, and implementing best practices for memory management. They should also mention experience with handling large datasets and complex calculations.

Q: How do you approach data security and access control in Qlik?

Expected Answer: Should explain how to set up different levels of access for different users, implementing row-level security, and ensuring sensitive data is properly protected while maintaining ease of use for authorized users.

Mid Level Questions

Q: Explain how you would create a data model in Qlik.

Expected Answer: Should be able to explain how to connect different data sources, create relationships between tables, and ensure the model is efficient and user-friendly. Should mention star schema concepts in simple terms.

Q: How do you handle different types of data calculations in Qlik?

Expected Answer: Should discuss creating different types of calculations, using set analysis for specific comparisons, and making sure calculations are efficient and accurate.

Junior Level Questions

Q: What types of charts and visualizations have you created in Qlik?

Expected Answer: Should be able to describe basic visualization types like bar charts, line graphs, and tables, and explain how they chose appropriate visualizations for different types of data.

Q: How do you load data into Qlik applications?

Expected Answer: Should explain basic data loading from common sources like Excel files or databases, and demonstrate understanding of simple data transformations during the load process.

Experience Level Indicators

Junior (0-2 years)

  • Creating basic dashboards and reports
  • Working with simple data sources
  • Basic chart creation and formatting
  • Understanding of basic data relationships

Mid (2-4 years)

  • Complex dashboard development
  • Advanced calculations and formulas
  • Data model design
  • Performance optimization

Senior (4+ years)

  • Enterprise-level application design
  • Advanced security implementation
  • Complex data integration
  • Team leadership and mentoring

Red Flags to Watch For

  • No experience with real business data analysis
  • Lack of understanding of basic data relationships
  • Unable to explain data security concepts
  • No experience with data cleaning or preparation