10 Dimensional Modelling Skills to Add to Your Resume

By Indeed Editorial Team

Updated 18 January 2023

Published 2 May 2022

The Indeed Editorial Team comprises a diverse and talented team of writers, researchers and subject matter experts equipped with Indeed's data and insights to deliver useful tips to help guide your career journey.

Data modellers work within the technology industry to collect and study data. Data modelling helps businesses understand and evaluate the flow of data they collect. Working as a data modeller involves gathering data about a company and then translating it into a data structure. In this article, we discuss what dimensional modelling skills are, show you how you can improve your abilities and list 10 important dimensional modelling skills you may develop.

Related: What Is Data Engineer? (With 4 Steps of Becoming One)

What are dimensional modelling skills?

Dimensional modelling skills are the soft and hard skills someone working in the data modelling industry uses to be successful. Hard skills are the industry-specific skills that data modellers learn at university or during their training, such as database tools, analysis, computer architecture and extraction techniques.

Soft skills are more general abilities required to work in this industry, such as the ability to work as part of a team and good communication skills. You often learn these soft skills on the job or pick them up while training or doing work experience.

Related: Hard Skills vs Soft Skills

Why are dimensional modelling skills important?

For your resume to get a hiring manager's attention, it's important to show that you have the right skills for the role. Working in the technology industry can be competitive, but applicants that can list top-level skills can prove they have the knowledge and experience to get ahead.

Some of the skills for working in data modelling are similar to those for computer programming or working in systems administration, such as strong computer technical skills. Data modellers work logically and this career uses abstract thinking and design concepts. Here are a few of the advantages of demonstrating your dimensional modelling skills:

Gain a competitive edge

You may be competing with dozens of other job applicants who are all applying for the same role. By listing sought-after skills, you can build an impressive resume to show future employers and help yourself to stand out from other candidates. A diverse and well-rounded set of skills helps to show employers that you're ready to begin work. It shows that you possess the abilities they ask for and that you can be an asset to the organisation.

Become successful in your career path

If you can learn the correct skills you can increase your career prospects and eventually, realise the type of career you're dreaming of. As your skills and knowledge expand and you gain a greater skill set and a more advanced expertise level, a higher salary may be within reach. Your expert knowledge coupled with your increasing experience can place you as a top contender to work for one of the most prestigious companies or employers.

Deliver the data companies seek

Companies may depend on data modellers to provide them with accurate, authentic and detailed data to help them with important business decisions. They may require your data to decide about expansions, whether to create new brands, launch new products and countless other business concerns. It's essential to have the appropriate skills to provide this information for the company. Employers look for applicants who have a consistent track record of accurate work, dependability and the ability to work with sensitive data.

Related: What Does a Data Analyst Do? (With Skills and Career Steps)

Examples of dimensional modelling skills

Here are 10 common skills that data modellers use when working in the industry:

1. Communication

Being able to speak clearly and actively listen to the people you work with, such as co-workers, clients and managers, is essential. Verbal and non-verbal communication, along with effective speaking and writing skills help you communicate effectively. Good communication helps you to get your message across and to deliver information about a project or task.

Data modellers collect and interpret complex information. Good communication skills help you to effectively translate this data into a format that others can understand. Being able to speak clearly, either to individuals or in a group, aids communication and leaves less room for misunderstanding. Equally, listening attentively allows for much greater understanding and leads to better comprehension.

2. Skills with SQL

SQL (Structured Query Language) is one of the main technical skills that dimensional modellers use. It's the recognised primary programming language for working in this industry and helps data modellers to gather, manage, manipulate and store information that is held in databases. Employers typically expect a basic understanding of SQL and as you progress through your career, you can gain a more advanced understanding of this programme.

Related: 7 Data Analytics Certification Options (With Benefits)

3. Computer architecture knowledge

A good understanding of computer architecture helps data modellers in their work. Computer architecture is the set of rules that enable hardware and software to integrate with one another. This creates processes and outputs and helps data modellers effectively manage and build data models with proprietary software. This architecture also allows for troubleshooting or other challenges you may find as you work with hardware or software.

Related: What Is a Data Scientist?

4. Experience with database systems

It's important to learn about Relational Database Management Systems (RDBMS) which provides the ability to manage big data. As a data modeller, you work with databases and use different software programmes and systems to store information in those databases. A good understanding of how these databases work is an essential skill. The capacity to collect necessary data quickly and to find out where to store it is a crucial skill in this career. Knowing how to work effectively with databases is one of the standard industry skills for this type of work.

5. Data representation skills

Data modellers have a good understanding of how to gather, organise and represent data in a way that is easy to comprehend. They use dimensional modelling to analyse complex information and to produce the results in a simpler format that appeals to a wider audience. As a data modeller, your ability to read and translate data can help companies save valuable time and money.

6. Knowledge of modern modelling tools

Data modellers learn to use modern modelling tools and software during their training. In a world where technology evolves rapidly, the ability to quickly learn how to use the latest tools is essential. The tools that the industry worked with just a couple of years ago can go out of date as software companies introduce new updates. Many companies expect their employees to educate themselves about the latest trends and to use modern tools. Staying up to date helps you to work with the most consistent and accurate data.

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7. Mathematical comprehension

Data modellers work with numbers daily and collect figures that they translate into a simpler format. A good understanding of mathematical concepts such as adding and subtracting is essential, as is a more advanced knowledge of formulas and calculations. An understanding of more advanced maths such as statistics and calculus is another benefit of this career.

8. Memory architecture

Memory architecture refers to the programming language that commands how to store and retrieve data. Since data modellers frequently retrieve data from computer systems, a good knowledge of this type of programming is key. Computers store digital information with binary digits and data modellers look for the most efficient way of storing these binary codes. Efficient and comprehensive data storage and handling can help companies save time and money, so a good understanding of memory architecture is important.

9. Teamwork

Being able to contribute and work as part of a team is an important soft skill in this industry. As a data modeller, you may work as part of a team with a manager overseeing the process. Therefore as you work on different projects you may frequently talk with other members of the team and with your supervisors. Good teamwork skills include:

  • problem-solving

  • effectively briefing colleagues

  • working on group presentations

  • cooperative working

10. Adaptability

With changing technology, the tools you use in your work may change frequently. If you can adapt to new situations and learn new ways of working quickly, you can work more effectively. Being adaptable helps you to accept change and adjust your method of working to these changes. You can work with others to identify problems and look for ways to solve issues that arise. Employers favour adaptable employees who look for ways to work through the challenges they face and show an ability to change their outlook when circumstances change. Being adaptable can lead to more career progression.

How to develop your dimensional modelling skills

There are various ways you can boost your skill set to increase your chances of finding a job as a data modeller. These include:

1. Take a professional certificate course

Employers often favour applicants with technical aptitude. To obtain a wider knowledge of database structures, programming, data storage and algorithms, it's a good idea to take certificates in information technology, SQL and other professional computer programming certificates.

2. Find an internship

An excellent way of gaining on-the-job training is through a university placement programme or graduate work experience. You can find computer science or information technology internships at a range of organisations. Some student placements may even lead to an offer of a full-time role.

Please note that none of the companies, institutions or organisations mentioned in this article are affiliated with Indeed.

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