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4 simple tips on how to become a sought-after data analyst

Magnifying glass on computer screen with data charts

Data analysts are needed across almost every industry. Organisations rely on these professionals to help them understand patterns and insights surrounding data which helps them to make crucial decisions.

Data and technology professionals are already so highly sought-after by employers, due to the significant increase in demand over the last few years. However, you may already have the skills needed but just can’t find a workplace that you’re happy in. But not to worry, here are some of our tips on how to become more sought-after so that you have plenty of workplace offers to choose from.

1. Refresh your knowledge on data analysis principles

Whether you’re new to data analysis altogether, or you’ve got some previous experience or training, it’s important to ensure that your knowledge is always up to date and fresh.

Not only is it very easy to forget the basics if you don’t use that knowledge every day, but the technology and data industry advances so rapidly that there’s possibly something new to learn tomorrow. While more and more professionals are noticing the increased demand for data and technology experts, make sure that you’re staying ahead of the competition with your knowledge.

2. Select the right tools

The most critical aspect of any data analysis work is to ensure that you have the right tools to work from. Again, you may not be using these tools everyday currently, or there may be a new ‘trend’ that you’re missing out on. Software such as Power BI, Tableau, and Python are just a few examples of some of the tools that data professionals rely on every day. So, ensure that you have access to what you need and that you spend time practicing and working with them so that you can prove to employers that you’re confident in this area.

3. Remember the importance of soft skills

A lot of focus is usually on the software and programming languages in the data and technology field, but people often forget the importance of soft skills. For example, as a data analyst you need to have excellent communication, organisation, and time management skills. It’s important that you can use an analytical approach to data and communicate your findings effectively.

If you believe that you already have the soft skills needed, ask yourself - is there any way that these can be improved? It’s essential to always be learning and trying to expand your skill set. This can be achieved through further training, and relevant reading papers and books.The more you work to develop your skills, the more confident you’ll be when applying for jobs.

4. Assess your values and goals

You may be struggling to find a job as a data analyst, or having a hard time finding an employer that you’d like to work for. However, it’s also possible that you’re unsure of what exactly you’re looking for. This uncertainty may come across in interviews, and even influence your mindset when you do get offered a job role.

It’s always worth taking the time to reassess your values and goals - both personally and professionally. If you have a solid idea of what you value in the workplace, then you’ll be much more likely to show that passion and energy when applying for specific roles. Employers are only human, and will most likely be able to see when you’re not enthusiastic about working for their company, so set yourself goals and evaluate what you want from your place of work. Then, you can set yourself a plan to reach those aspirations.

Upskill as a data analyst

Of course, to become a great data analyst you need to have a good understanding of data analysis principles and the tools needed to be competent at your role. And we understand that sometimes you may not have your ‘dream job’ when you’re first starting out. Your knowledge and skills in the industry are essential, however your soft skills, passion and determination is what will make you stand out from other candidates.

Most of the requirements to become a sought-after data analyst are gained through experience. Apprenticeship programmes are the ideal way to learn the knowledge, skills and behaviours needed to excel and progress your career - while you’ll also have nationally recognised training behind you.

If you’re looking to upskill, or develop your confidence and experience as a data analyst, browse through our Data Analyst Level 4 apprenticeship programme, or read more to find out how to talk to your current employer about upskilling with an apprenticeship.

Earn while you learn with a Data Analysis apprenticeship

Choose a programme

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4 simple tips on how to become a sought-after data analyst

Magnifying glass on computer screen with data charts

Data analysts are needed across almost every industry. Organisations rely on these professionals to help them understand patterns and insights surrounding data which helps them to make crucial decisions.

Data and technology professionals are already so highly sought-after by employers, due to the significant increase in demand over the last few years. However, you may already have the skills needed but just can’t find a workplace that you’re happy in. But not to worry, here are some of our tips on how to become more sought-after so that you have plenty of workplace offers to choose from.

1. Refresh your knowledge on data analysis principles

Whether you’re new to data analysis altogether, or you’ve got some previous experience or training, it’s important to ensure that your knowledge is always up to date and fresh.

Not only is it very easy to forget the basics if you don’t use that knowledge every day, but the technology and data industry advances so rapidly that there’s possibly something new to learn tomorrow. While more and more professionals are noticing the increased demand for data and technology experts, make sure that you’re staying ahead of the competition with your knowledge.

2. Select the right tools

The most critical aspect of any data analysis work is to ensure that you have the right tools to work from. Again, you may not be using these tools everyday currently, or there may be a new ‘trend’ that you’re missing out on. Software such as Power BI, Tableau, and Python are just a few examples of some of the tools that data professionals rely on every day. So, ensure that you have access to what you need and that you spend time practicing and working with them so that you can prove to employers that you’re confident in this area.

3. Remember the importance of soft skills

A lot of focus is usually on the software and programming languages in the data and technology field, but people often forget the importance of soft skills. For example, as a data analyst you need to have excellent communication, organisation, and time management skills. It’s important that you can use an analytical approach to data and communicate your findings effectively.

If you believe that you already have the soft skills needed, ask yourself - is there any way that these can be improved? It’s essential to always be learning and trying to expand your skill set. This can be achieved through further training, and relevant reading papers and books.The more you work to develop your skills, the more confident you’ll be when applying for jobs.

4. Assess your values and goals

You may be struggling to find a job as a data analyst, or having a hard time finding an employer that you’d like to work for. However, it’s also possible that you’re unsure of what exactly you’re looking for. This uncertainty may come across in interviews, and even influence your mindset when you do get offered a job role.

It’s always worth taking the time to reassess your values and goals - both personally and professionally. If you have a solid idea of what you value in the workplace, then you’ll be much more likely to show that passion and energy when applying for specific roles. Employers are only human, and will most likely be able to see when you’re not enthusiastic about working for their company, so set yourself goals and evaluate what you want from your place of work. Then, you can set yourself a plan to reach those aspirations.

Upskill as a data analyst

Of course, to become a great data analyst you need to have a good understanding of data analysis principles and the tools needed to be competent at your role. And we understand that sometimes you may not have your ‘dream job’ when you’re first starting out. Your knowledge and skills in the industry are essential, however your soft skills, passion and determination is what will make you stand out from other candidates.

Most of the requirements to become a sought-after data analyst are gained through experience. Apprenticeship programmes are the ideal way to learn the knowledge, skills and behaviours needed to excel and progress your career - while you’ll also have nationally recognised training behind you.

If you’re looking to upskill, or develop your confidence and experience as a data analyst, browse through our Data Analyst Level 4 apprenticeship programme, or read more to find out how to talk to your current employer about upskilling with an apprenticeship.

Earn while you learn with a Data Analysis apprenticeship

Choose a programme

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