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Data & Business Intelligence Job Descriptions Web Developer

QlikView Developer: Job Description

Use our template to create a compelling and comprehensive QlikView Developer job description to attract top talent.

What is the role of the QlikView developer? Discover in this job description their missions, required skills, training and salary.

QlikView is one of the products of the Qlik company, a leading market leader in DataViz and BI tools alongside Tableau and Microsoft products like Power BI. Qlik is a company specialising in the development of data software, dashboards and self-service business intelligence products. 

To go into a little more detail, QlikView is a Business Intelligence platform facilitating self-service data interpretation. Thus, the QlikView solution enables big data analysis to be transformed into actionable insights. Globally, more than 24,000 companies use the QlikView platform. Thanks to its “Associative Difference” technology, the QlikView platform saves businesses time and allows users to easily consolidate, search, analyze and visualize their data. 


QlikView Developer: the job

Today, the use of big data has become commonplace and IT departments of enterprises are increasingly advanced in the use of BI solutions. This is where the QlikView Developer comes in. The role of this professional is to prepare prior data processing to adapt the tool to the business needs and the activities of the company. 

Their main missions are to collect and analyse business needs, write functional and technical specifications and implement the QlikView solution within the company. The QlikView Developer makes all the preparations for interpretation tools and data analysis tailored to each business. They are also responsible for modelling, designing and developing QlikView applications in line with the demands of the business. In addition, they ensure the correct and ongoing maintenance of the application. 

Required Skills

Technical skills

The QlikView developer should have a lot of technical skills related to the QlikView solution. They must know how to create a data model and a QlikView application. Moreover, they must be able to solve problems related to data structures. In addition, they must know how to define advanced uses of the script editor and master the concepts of synthetic tables and loops.

Read more about QlikView Dev tools

Communication and openness

In addition to technical skills, they must be a good listener. They must take into account the business environment, deal with the different actors with whom they work and take into account the needs and demands of different users. Also, they must have a good team spirit, a methodical spirit, and a sense of thoroughness and analysis. 

Passion and curiosity

The QlikView Developer should be curious about the advancements in the web environment and popular technologies, staying up to date with new evelopments in this area. It is important that they are passionate about computers and new technologies, and also curious, dynamic and motivated. 

Also read the differences between Big Data and Business Intelligence

Salary of the QlikView Developer

The average daily rate for a QlikView Developer is typically between 250 and 500 euros. 

Training and education of the QlikView Developer

To become a QlikView Developer, a bachelor’s degree in engineering is usually required. It is then possible to specialize in QlikView through specific training. There are also many online resources for professionals to learn QlikView.

Also discover more about IT skills with our Top IT Skills to Master in 2021 and about certifications with the Certification & Qualification FAQs

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Want to discover another job description? Learn more about the role of Swift Developer.

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Data & Business Intelligence Job Descriptions

IT Business Analyst : Job Description

Use our template to create a compelling and comprehensive IT Business Analyst job description to attract top talent.

The role of the IT Business Analyst aims to bridge the gap between the various operational departments and the IT department. Their main mission? To ensure the alignment of a company’s IT systems and its strategic business objectives. They are in charge of analysing business needs and translating them into technical objectives.

The main difference between a classic Business Analyst and an IT Business Analyst is that the latter does not delegate the operational part of the project.


Interested in exploring more roles within tech? Take a look at the role of the Salesforce Consultant

IT Business Analyst: the job

Identify IT issues

Firstly, the IT Business Analyst will identify all sources of wasted time, energy or money within the company’s IT systems. They will therefore start by analysing all processes, tools and uses to identify areas for improvement.

Develop a strategy

After carrying out their analysis, the IT analyst expert will then define an action plan and lay the foundations for the project. The goal of the project may be, for example, to improve production, sales, customer relationship management, information flow or even logistics. Their field of action is therefore extremely wide.

Implement the strategy

Unlike the classic Business Analyst, they will be in charge of the project through its operational part. That is to say, after having defined the strategy, they will be in contact with the development teams to directly manage the implementation of new IT systems or the optimisation of existing ones.

Also read the differences between Big Data and Business Intelligence

Required Skills of the IT Business Analyst

Analysis and decision making

In order to develop the best possible strategy, the IT Business Analyst must analyse IT systems down to the smallest detail and determine how they can be improved. In some cases, they must consider if it’s worth it to replace the entire existing system.

Ability to adapt

Moreover, an IT Business Analysis consultant may be required to work in various industries. They must quickly become acquainted with the market, the operations of the company, and the computer systems it uses. They must have technical knowledge of these systems, but they must also understand how teams use them.

Technical and strategic monitoring

To develop the best possible strategies, they must also be constantly informed of new developments concerning IT systems, computing and business.

Mastery of programming language

In addition, As part of the development team, they often have to master programming languages ​​like SQL, Java, NET, C ++, Python …


Also discover the other Project Managements roles and career paths


The IT Business Analyst within the industry

The analyst can work in any industry and within various companies as long as the information system and organisation are large enough.

Salary of the IT Business Analyst

The average daily rate is between €400 and €700, depending on experience and the type of profile.

Training and education

To access this profession, it is recommended to have a relevant university degree. A master’s degree in Economics / Business / Management or in Computer Sciences is a big plus.

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Data & Business Intelligence Job Descriptions

Data Analyst

Data Analyst is the go-to expert for all operations related to the company’s databases. They assemble and processes data in order to assess business activity and make appropriate recommendations. Their job allows them to “make the data speak” by interpreting them.

This relatively new digital profession is essential in all sectors: commerce, finance, banking, insurance…


Also explore the role of the IoT Consultant

What is the role of a Data Analyst?

Create and model databases

Certainly, one of the first missions of the Data Analyst is to collect, process and study statistical data to produce business analysis and provide recommendations. That is to say, the analyst creates and models the various databases necessary to accomplish the tasks, ensuring proper functioning and the regular updating of the database.

Define segmentation criteria

The Data Analyst is also responsible for defining segmentation. To do this, they must find relevant data sources that allow them, for example, to define the target of marketing campaigns or identify consumer trends.

Popularize data and make it accessible

For example, extracting and translating business data into statistical data makes it possible to synthesize and popularize information. This data processing allows company managers and teams to analyze the data and use it to improve performance.

Required skills of the Data Analyst

An appetite for numbers

Above all, to be a successful, you must first of all love statistics. Reports, tables, graphs… are the main working tools of the Data Analyst.

Knowledge in data analysis and statistical methodologies

An expert in Data Analysis musts also have mastery of statistical methodologies and associated mathematical models to set up efficient analysis systems.

Proficiency in IT tools, languages ​​and databases

Then, Proficiency in the DB SQL computer language, as well as in web analytics tools and data mining tools is often essential for data analysts.

Extreme rigour

Moreover, as this is an activity requiring the manipulation of encrypted data, the Data Analyst must be endowed with extreme rigour, having developed and analytical mind and fool-proof organization skills. Concentration is also one of the skills needed to be a good analyst. They also must keep abreast of new legal and regulatory regulations for data management.

Also read the differences between Big Data and Business Intelligence

Within the industry

The Data Analyst is a more than buoyant function which is set to keep developing strongly. With the evolution of the IT landscape, companies face exponential growth in the number of data. Therefore, large companies in areas like finance, e-commerce, marketing, industry and medicine are the most likely businesses to recruit in this area.

Salary of the Data Analyst

The average daily rate is between €400 and €800.

Training of the Data Analyst

In conclusion, to become a Data Analyst, college-level training is required. Companies tend to favour candidates who have followed courses in engineering, statistics, or even computer science.

To go higher up in this function then, it is recommended to pursue a specialized master’s program. Several career paths are possible, including as consultant positions such as Data Scientist, Business Intelligence Engineer, Data Engineer or even Chief Data Officer.