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Top 12 Qlikview Developer Skills to Put on Your Resume

Crafting an impressive resume as a QlikView Developer demands a strategic showcase of your technical abilities and analytical prowess. Highlighting the top skills in your repertoire not only demonstrates your proficiency with QlikView but also positions you as a valuable asset to potential employers in a competitive job market.

Top 12 Qlikview Developer Skills to Put on Your Resume

Qlikview Developer Skills

  1. QlikView Design
  2. QlikView Development
  3. Qlik Sense
  4. NPrinting
  5. Data Modeling
  6. SQL
  7. ETL Processes
  8. Dashboard Creation
  9. Set Analysis
  10. QlikView Server
  11. QlikView Publisher
  12. Data Visualization

1. QlikView Design

QlikView Design refers to the process of creating, structuring, and formatting QlikView applications to present data in a visually appealing and user-friendly manner. It involves selecting appropriate chart types, designing intuitive user interfaces, and optimizing data models for efficient data analysis and reporting. For a QlikView Developer, it encompasses both the aesthetic aspect of application development and the technical proficiency in leveraging QlikView’s features to enhance data discovery and decision-making processes.

Why It's Important

QlikView Design is crucial for a QlikView Developer because it ensures the effective presentation and accessibility of data, enhancing user experience and decision-making through intuitive, visually appealing, and interactive dashboards and reports.

How to Improve QlikView Design Skills

Improving QlikView design involves enhancing both the aesthetic appeal and the functional efficiency of your dashboards. Here are some concise tips for QlikView developers aiming to refine their designs:

  1. Use Templates and Consistent Layouts: Ensure consistency in colors, fonts, and object sizes across your application. Qlik's Design Blog offers insights on best practices.

  2. Optimize Use of Space: Prioritize information based on its importance and use space efficiently. Qlik Community discussions often cover space optimization techniques.

  3. Simplify Navigation: Implement intuitive navigation controls like tabs or buttons for better user experience. This QlikView Tutorial on NPrinting can offer insights into effective data presentation.

  4. Ensure Responsiveness: Design dashboards that are responsive and accessible on different devices. Qlik's support page on Mobile Device Support provides guidelines.

  5. Data Visualization Best Practices: Use appropriate charts and graphs that best represent your data. The Qlik Sense Visualization Best Practices blog offers valuable insights, which can be applied to QlikView.

  6. Performance Optimization: Optimize script and object performance for faster load times. Refer to Qlik’s Performance and Scalability guide for techniques.

  7. User Feedback Loop: Regularly collect user feedback to understand usability issues and make iterative improvements. The concept of continuous improvement is discussed in Qlik Community forums.

  8. Educational Resources: Continuously learn from Qlik’s Training and Certification programs to stay updated with the latest design trends and techniques.

By focusing on these areas, you can significantly improve the design and usability of your QlikView applications.

How to Display QlikView Design Skills on Your Resume

How to Display QlikView Design Skills on Your Resume

2. QlikView Development

QlikView Development involves designing and implementing business intelligence and data visualization solutions using the QlikView platform. A QlikView Developer focuses on creating interactive dashboards, reports, and analytics applications to help organizations understand their data and make informed decisions.

Why It's Important

QlikView development is crucial for crafting interactive, data-driven applications and dashboards that enable organizations to explore and analyze their data efficiently, facilitating informed decision-making and revealing insights to drive business strategies.

How to Improve QlikView Development Skills

Improving QlikView development involves enhancing both the technical skills associated with QlikView and the overall approach to building efficient, user-friendly applications. Here's a concise guide:

  1. Master QlikView Scripting: Deepen your understanding of QlikView scripting to manipulate data efficiently. Focus on learning advanced data transformation techniques and optimization methods. Qlik's Scripting Documentation provides a comprehensive resource.

  2. Understand Data Modeling: Develop a solid understanding of data modeling principles to ensure your QlikView applications perform well and are scalable. This guide from Qlik Community offers insights and best practices.

  3. Optimize Performance: Learn about performance optimization techniques specific to QlikView, like efficient use of set analysis and minimizing the use of complex expressions. Qlik's Performance and Scalability guide is a good starting point.

  4. UI/UX Design Principles: Enhance the user interface of your applications by applying UI/UX design principles. Focus on creating intuitive and visually appealing dashboards. QlikView Design Best Practices can help you get started.

  5. Stay Updated and Engage with the Community: The QlikView landscape is always evolving. Stay updated with the latest features and best practices by engaging with the QlikView community. Qlik Community is a great platform for learning and sharing knowledge.

  6. Continuous Learning: Take advantage of online courses and certifications to keep your skills sharp and up-to-date. Websites like Udemy and LinkedIn Learning offer courses on QlikView development.

By focusing on these areas, you can significantly improve your QlikView development skills and create more effective and efficient QlikView applications.

How to Display QlikView Development Skills on Your Resume

How to Display QlikView Development Skills on Your Resume

3. Qlik Sense

Qlik Sense is a self-service data visualization and analytics platform that enables users to create interactive dashboards and reports. It provides a more intuitive and user-friendly interface than QlikView, focusing on drag-and-drop features and automatic responsive design for different devices, making it accessible for non-developer users while still powerful for complex data analysis.

Why It's Important

Qlik Sense is important for a QlikView developer as it offers advanced data visualization, self-service analytics, and a responsive design for building interactive dashboards. This enhances the ability to deliver insights and make data-driven decisions across diverse devices and platforms, broadening the scope of analytics applications beyond what QlikView provides.

How to Improve Qlik Sense Skills

Improving your Qlik Sense skills, especially coming from a QlikView background, involves understanding the nuances that differentiate Qlik Sense and leveraging its self-service capabilities for a more intuitive user experience. Here’s a concise guide:

  1. Embrace the Self-Service Model: Familiarize yourself with the drag-and-drop interface of Qlik Sense to quickly create visualizations. Qlik's Self-Service Visualization page provides insights into efficiently using these features.

  2. Learn Advanced Scripting and Data Modeling: Deepen your data modeling skills as Qlik Sense relies heavily on the data model for performance. The Qlik Community offers scripts, tutorials, and discussions to enhance your knowledge.

  3. Utilize Qlik Sense APIs for Customization: Explore the Qlik Sense APIs for extending and integrating Qlik Sense with other applications. Qlik Dev Portal is an excellent starting point.

  4. Master the Art of Storytelling: Qlik Sense focuses on storytelling and data communication. Learn how to build compelling stories with your data. Qlik’s Data Literacy Project offers resources to improve how you communicate with data.

  5. Stay Updated: Qlik Sense is frequently updated. Keep abreast of the latest features and best practices by following the Qlik Blog.

  6. Engage with the Qlik Community: Participate in forums, webinars, and user groups. The Qlik Community is a valuable resource for tips, tricks, and networking.

  7. Undergo Official Training and Certification: Consider Qlik’s official training and certification programs to formalize your skills. Check out Qlik’s Training page for more information.

Transitioning from QlikView to Qlik Sense can be streamlined by leveraging these resources and actively engaging in the broader Qlik ecosystem.

How to Display Qlik Sense Skills on Your Resume

How to Display Qlik Sense Skills on Your Resume

4. NPrinting

NPrinting is a reporting tool developed by Qlik that allows for the creation and distribution of highly formatted reports generated from QlikView and Qlik Sense data. It enables developers to design reports using data and visualizations from their Qlik applications and distribute them in various formats such as PDF, Excel, Word, or PowerPoint.

Why It's Important

NPrinting is important for a QlikView Developer because it enables the automated creation and distribution of highly formatted, polished reports directly from QlikView data, enhancing data visualization and reporting capabilities.

How to Improve NPrinting Skills

To improve NPrinting as a QlikView developer, follow these concise steps:

  1. Optimize QlikView Documents: Ensure your QlikView documents are optimized for performance. Focus on reducing data model complexity and improving load times. Qlik's Performance guide offers strategies for optimization.

  2. Leverage QlikView Reports: Design your QlikView reports with NPrinting in mind. Use clean and clear visualizations that translate well into reports. Qlik's Reporting documentation provides insights on creating compatible reports.

  3. Understand NPrinting Features: Familiarize yourself with NPrinting features such as filters, conditions, and tasks to create more dynamic and tailored reports. The NPrinting Features Guide can help deepen your understanding.

  4. Automation and Scheduling: Utilize NPrinting’s scheduling capabilities to automate report generation and distribution, saving time and ensuring timely delivery of reports. NPrinting Scheduling Documentation covers how to set up and manage schedules.

  5. Best Practices for Development: Follow NPrinting development best practices such as version control, modular design, and thorough testing to ensure reliable and maintainable reporting solutions. Check out Qlik’s Best Practices for insights and tips.

  6. Continuous Learning: Stay updated with the latest NPrinting features and QlikView updates. Qlik’s Learning Portal offers courses and webinars that can help you stay ahead.

By focusing on these areas, you can significantly improve your NPrinting reports' effectiveness and efficiency.

How to Display NPrinting Skills on Your Resume

How to Display NPrinting Skills on Your Resume

5. Data Modeling

Data modeling in the context of a QlikView developer involves structuring and organizing data sources to optimize the performance, usability, and maintenance of QlikView applications. This includes defining relationships between data sets, preparing data for analysis, and ensuring the data model supports efficient data retrieval and visualization.

Why It's Important

Data modeling is crucial for a QlikView Developer because it structures and organizes data efficiently, ensuring optimal performance, faster insights, and better decision-making capabilities in QlikView applications.

How to Improve Data Modeling Skills

To improve data modeling as a QlikView Developer, focus on the following key aspects:

  1. Understand Business Requirements: Clearly understand the business context and requirements before designing your model. This ensures the model is relevant and useful.

  2. Normalization and Denormalization: Balance between normalization to reduce redundancy and denormalization for faster query performance. Understand when each is appropriate. Normalization vs Denormalization.

  3. Use QVDs for Large Datasets: Leverage QlikView Data (QVD) files to optimize data loading and transformation processes. This enhances performance. QVD Best Practices.

  4. Optimize Data Models: Simplify your data models by reducing the number of tables and fields. Aim for a star schema or snowflake schema where practical. Data Modeling Techniques.

  5. Minimize Synthetic Keys: Avoid synthetic keys when possible by creating composite keys or concatenating tables, as they can complicate the model and degrade performance. Handling Synthetic Keys.

  6. Regularly Review and Refine: Continuously review and refine the data model based on user feedback and performance metrics. This iterative approach ensures the model remains efficient and relevant.

By focusing on these strategies, you can significantly improve your data modeling skills in QlikView, leading to more efficient and user-friendly applications.

How to Display Data Modeling Skills on Your Resume

How to Display Data Modeling Skills on Your Resume

6. SQL

SQL (Structured Query Language) is a standardized programming language used for managing and manipulating relational databases, essential for extracting and integrating data within QlikView applications.

Why It's Important

SQL is important for a QlikView Developer because it enables efficient data retrieval, manipulation, and management from databases, crucial for creating accurate, dynamic reports and dashboards in QlikView.

How to Improve SQL Skills

Improving SQL skills, especially for a QlikView Developer, involves understanding both the SQL language fundamentals and how they integrate within QlikView for data manipulation and optimization. Here are concise steps to enhance your SQL skills:

  1. Master SQL Basics: Understand core SQL concepts like SELECT statements, WHERE clauses, JOINs, GROUP BY, and ORDER BY clauses. W3Schools SQL Tutorial offers a solid foundation.

  2. Advanced SQL Techniques: Learn advanced topics such as subqueries, complex joins, window functions, and stored procedures. The Mode Analytics SQL Tutorial is a good resource.

  3. Optimization Strategies: Study how to optimize SQL queries for performance, including indexing, query refactoring, and understanding the execution plan. SQLShack has articles on these topics.

  4. Practice Regularly: Use platforms like HackerRank and LeetCode to solve practice problems and challenges.

  5. Integration with QlikView: Understand how to write efficient SQL for data loading and manipulation in QlikView. The Qlik Community Forums can be a great place to learn from real-world scenarios and expert advice.

  6. Stay Updated: SQL and QlikView are constantly evolving. Follow blogs and forums, and participate in webinars and workshops to stay current. Qlik Dev Blog and SQLServerCentral are useful for the latest trends and tips.

  7. Project Application: Apply your SQL knowledge in real-world QlikView projects. This practical application will solidify your learning and uncover areas for improvement.

By following these steps and consistently practicing, you'll steadily improve your SQL skills, contributing to more efficient and powerful data manipulation within QlikView.

How to Display SQL Skills on Your Resume

How to Display SQL Skills on Your Resume

7. ETL Processes

ETL (Extract, Transform, Load) processes involve extracting data from various sources, transforming the data into a suitable format, and loading it into a destination (like a database or data warehouse) for analysis. For a QlikView Developer, ETL is crucial for preparing and optimizing data for efficient analysis, visualization, and reporting within QlikView applications.

Why It's Important

ETL processes are crucial for a QlikView Developer because they enable the efficient extraction, transformation, and loading of data from various sources into a structured format suitable for analysis and visualization, ensuring accurate, up-to-date, and high-quality data for informed decision-making and reporting.

How to Improve ETL Processes Skills

Improving ETL (Extract, Transform, Load) processes, particularly for a QlikView Developer, involves several strategies aimed at enhancing efficiency, reliability, and scalability. Here's a concise guide:

  1. Optimize Data Extraction: Focus on extracting only the necessary data to reduce load times. Utilizing QlikView's Incremental Load can significantly improve performance by loading only new or changed data after the initial load.

  2. Efficient Data Transformation: Leverage QlikView script capabilities to perform data transformations efficiently. Use QlikView functions and scripting best practices to streamline transformations directly within the tool. The Qlik Community provides insights and examples on efficient scripting.

  3. Optimize Data Models: Design your data model for optimal performance by minimizing synthetic keys and circular references. Simplify data models to improve load times and app performance. Refer to Qlik’s Data Modelling Best Practices for guidance.

  4. Parallel Processing: Where possible, implement parallel processing of data tasks to decrease overall load time. This involves loading multiple data tables or sources simultaneously, rather than sequentially. QlikView’s script control statements can help manage this.

  5. Monitor and Optimize Load Performance: Use the QlikView Management Console (QMC) to monitor load performance and identify bottlenecks. Regularly review and optimize scripts and data connections based on these insights.

  6. Effective Use of QVDs (QlikView Data Files): Utilize QVDs for intermediate data storage to speed up reloads. QVDs act as a highly efficient data cache layer, particularly useful in multi-tiered QlikView architectures. Learn more about QVDs here.

  7. Automation: Automate ETL processes using QlikView Publisher or external scheduling tools to ensure data freshness and reduce manual intervention. Automation also helps in managing workloads effectively during off-peak hours.

  8. Continuous Learning and Adaptation: Stay updated with the latest QlikView features and best practices through Qlik’s Resources and actively participate in forums like the Qlik Community. Continuous improvement is key to maintaining an efficient ETL process.

Implementing these strategies will significantly enhance the efficiency and reliability of ETL processes for a QlikView Developer.

How to Display ETL Processes Skills on Your Resume

How to Display ETL Processes Skills on Your Resume

8. Dashboard Creation

Dashboard creation, in the context of a QlikView Developer, involves designing and developing interactive and visual interfaces that aggregate and display data from various sources, allowing users to analyze and derive insights through charts, tables, and graphs within the QlikView application.

Why It's Important

Dashboard creation is crucial for a QlikView Developer because it enables the visualization of complex data in an accessible, interactive format, allowing for efficient data analysis, informed decision-making, and effective communication of insights to stakeholders.

How to Improve Dashboard Creation Skills

Improving dashboard creation as a QlikView Developer involves focusing on design principles, data relevance, user interaction, and performance optimization. Here's a concise guide:

  1. Understand Your Audience: Tailor your dashboard to meet the specific needs and skill levels of its users. Keep it intuitive and user-friendly.

  2. Design for Clarity: Use clear visual hierarchies, consistent color schemes, and minimalistic design. Qlik Design Blog provides insights on effective visualization techniques.

  3. Optimize Data Models: Ensure your data model is optimized for performance. This involves minimizing data tables and fields. Refer to the Qlik Community for best practices on data modeling.

  4. Responsive Design: Make your dashboard responsive across devices. This Qlik support page offers guidelines for creating responsive design in QlikView.

  5. User Interactivity: Enhance the dashboard with interactive elements like filters and drill-down functionality to allow users to explore data in-depth. The Qlik Help page provides documentation on implementing interactivity.

  6. Use Extensions: Leverage QlikView extensions to introduce advanced visualization and functionality not available out-of-the-box. Explore Qlik Branch for community and official extensions.

  7. Performance Tuning: Optimize scripts and use efficient expressions to improve load times and responsiveness. Qlik’s Performance and Scalability guide discusses best practices for performance.

  8. Iterative Development: Work in cycles, gather feedback, and make continuous improvements to your dashboard for better user satisfaction.

By focusing on user-centric design, data optimization, and leveraging QlikView's extensive resources, you can significantly improve your dashboard creation process.

How to Display Dashboard Creation Skills on Your Resume

How to Display Dashboard Creation Skills on Your Resume

9. Set Analysis

Set Analysis in QlikView is a powerful way to perform dynamic aggregations in data models, allowing developers to define a subset of data on which to perform calculations, independent of user selections. It enables creating comparative analyses and complex calculations across different data sets directly within chart expressions.

Why It's Important

Set Analysis is crucial for QlikView developers as it allows them to define custom data sets within their QlikView applications, enabling complex, dynamic data comparisons and calculations that are not possible through simple selections alone. This enhances the analytical capabilities and flexibility of their applications, providing deeper insights and more customized reporting options for users.

How to Improve Set Analysis Skills

To improve Set Analysis as a QlikView developer, follow these concise strategies:

  1. Master Basic Syntax: Understand the basic syntax of Set Analysis to manipulate data sets effectively. Qlik's Help Guide offers a solid starting point.

  2. Learn Identifiers and Operators: Familiarize yourself with identifiers like $, 1, and _, and operators like +, -, *, / for advanced data selection. The Qlik Community Forums provide real-world examples and discussions.

  3. Use Variables: Implement variables for dynamic Set Analysis expressions, enhancing flexibility and readability. QlikView Cookbook offers tips and examples for effective use.

  4. Optimize Expressions: Keep expressions simple and efficient for better performance. Qlik Fix! shares optimization techniques.

  5. Practice: Apply your knowledge on diverse datasets to strengthen your skills. Qlik Demos present various scenarios for hands-on practice.

By focusing on these areas, you'll significantly improve your Set Analysis capabilities in QlikView.

How to Display Set Analysis Skills on Your Resume

How to Display Set Analysis Skills on Your Resume

10. QlikView Server

QlikView Server is a platform for hosting and sharing QlikView applications, enabling controlled access for users to view and interact with dashboards and reports. It provides centralized management, data security, and collaboration features for developers and users.

Why It's Important

QlikView Server is crucial for a QlikView Developer as it enables centralized management and distribution of QlikView applications, facilitating collaboration, secure data sharing, and access control among users across an organization.

How to Improve QlikView Server Skills

Improving the performance and efficiency of QlikView Server involves several strategies, focusing on design, development, and server configuration:

  1. Optimize Data Model: Streamline the data model for efficiency. Use fewer, more efficient tables, and minimize synthetic keys. Qlik Community Guide on Data Modeling.

  2. Efficient Scripting: Optimize load scripts for performance; use QVDs for incremental loads. Qlik’s Scripting Documentation.

  3. Use Aggregated Data: Where possible, use aggregated data rather than row-level details to speed up analysis. Qlik Data Aggregation.

  4. Optimize UI: Design efficient UIs. Limit the use of complex calculations and conditional formatting in objects visible together. QlikView Design Best Practices.

  5. Server Configuration: Adjust server settings for optimal performance, including setting appropriate memory limits and preloading frequently accessed documents. QlikView Server Performance.

  6. Scalability: Plan for scalability by distributing tasks across multiple nodes in a QlikView Server cluster. Qlik Scalability.

  7. Monitoring and Analysis: Regularly monitor server performance and user activity to identify bottlenecks or inefficiencies. QlikView Management Console.

  8. Security Considerations: Ensure that your QlikView Server is secure to protect sensitive data and maintain user trust. QlikView Security.

By following these strategies, a QlikView Developer can significantly improve the performance and user experience of QlikView Server applications.

How to Display QlikView Server Skills on Your Resume

How to Display QlikView Server Skills on Your Resume

11. QlikView Publisher

QlikView Publisher is a server-side product that performs two main functions: it controls content distribution by ensuring the right QlikView documents are available to the right users, and it handles data reload tasks to refresh QlikView documents with updated data from various data sources. For a QlikView Developer, it automates the data refresh and distribution process, enhancing efficiency in managing and updating QlikView applications.

Why It's Important

QlikView Publisher is important for a QlikView Developer as it enhances content management and distribution capabilities, ensuring that the right data is delivered to the right users securely and efficiently, optimizing the performance and scalability of QlikView applications.

How to Improve QlikView Publisher Skills

Improving QlikView Publisher involves optimizing document reloads, distribution, and management. Here are concise strategies tailored for a QlikView Developer:

  1. Optimize Data Models: Streamline data models for efficiency. Simplify scripts and reduce data complexity for faster reloads. Qlik's Data Modeling Best Practices

  2. Utilize QMC Effectively: Use the Qlik Management Console (QMC) to manage tasks and resources better. Schedule tasks during off-peak hours for optimal performance. QMC Resource Management

  3. Incremental Loads: Implement incremental loads in your scripts to reduce reload times by only fetching new or changed data. Incremental Load Guide

  4. Section Access for Security: Use Section Access to manage data visibility efficiently, improving document reloads and distribution by limiting data based on user. Section Access Best Practices

  5. Monitor and Optimize Performance: Use the QlikView Operations Monitor to track the performance of your QlikView Publisher tasks and identify bottlenecks. Monitoring QlikView Performance

  6. Clean and Structure QVDs: Organize and optimize QVD (QlikView Data) files for faster access and reloads. Apply naming conventions and maintain clean directories. QVD Best Practices

  7. Utilize Publisher Logs: Analyze Publisher log files to troubleshoot and optimize task execution. Understanding QlikView Logs

  8. Regular Maintenance: Regularly review and clean up tasks, data connections, and documents in QMC to ensure optimal performance.

By implementing these strategies, a QlikView Developer can significantly improve the efficiency and reliability of QlikView Publisher.

How to Display QlikView Publisher Skills on Your Resume

How to Display QlikView Publisher Skills on Your Resume

12. Data Visualization

Data Visualization is the graphical representation of information and data, enabling insights and trends to be easily understood. For a QlikView Developer, it involves designing and implementing interactive charts, graphs, and dashboards in QlikView to help users analyze and interpret data efficiently.

Why It's Important

Data visualization is crucial for a QlikView Developer as it transforms complex data into intuitive, interactive visual representations, enabling quick insight discovery, informed decision-making, and effective communication of data-driven insights to users or stakeholders.

How to Improve Data Visualization Skills

Improving data visualization, especially as a QlikView Developer, involves focusing on clarity, audience relevance, interactivity, and aesthetic balance. Here are very short, concise strategies:

  1. Understand Your Audience: Tailor visuals to the audience's expertise and needs. Design for clarity and purpose.

  2. Leverage Colors Wisely: Use color to enhance understanding, not distract. Apply a consistent palette and use color to signify data categories or values (Qlik Color Reference).

  3. Use Clear Labels and Legends: Ensure axis labels, legends, and data labels are concise and readable, enhancing the interpretability of the visualization.

  4. Focus on Data-Ink Ratio: Minimize non-data ink (Tufte’s principle), focusing on the data itself. Remove unnecessary borders, backgrounds, and effects (Data-Ink Ratio).

  5. Incorporate Interactivity: Use QlikView’s interactive features like drill-down, tooltips, and dynamic filters to allow users to explore data in-depth (QlikView Interactivity).

  6. Optimize for Different Devices: Design visualizations that are responsive and accessible on various devices, enhancing reach and usability.

  7. Adopt Storytelling Techniques: Structure visualizations to tell a story, guiding the viewer through the data in a logical, compelling manner (Data Storytelling).

  8. Stay Updated with Trends: Continuously learn from the QlikView community and stay updated with the latest visualization trends and best practices (Qlik Community).

  9. Feedback and Iterate: Collect feedback from users and iterate on designs to improve clarity and effectiveness.

  10. Educate Yourself Continuously: Engage with resources and training to enhance your skills (Qlik Continuous Classroom).

By adhering to these strategies, a QlikView Developer can significantly enhance the effectiveness and impact of their data visualizations.

How to Display Data Visualization Skills on Your Resume

How to Display Data Visualization Skills on Your Resume