If you’re part of the non-stop data analytics world, you don’t need us to tell you how fast it’s evolving! And there’s no sign of it slowing any time soon. Last year (2024), the global data analytics market was valued at USD 69.54 billion and is expected to grow at a CAGR of 28.7% between 2025 and 2030. So, get set for even more exciting data analytics opportunities.
If you’re based in Ireland and looking to either break into or advance your data analytics career, the key to succeeding is understanding which skills are going to make you stand out. We’ve tapped into insights from a total of 6,869 data analytics pros in Ireland to identify the most in-demand data analytics skills. So, no matter the stage of your career journey, this guide is for you. As well as sharing the top data analytics skills required, we’ll also provide some practical advice on how to develop them.
Let’s get going…
The Data Analytics Landscape in Ireland
Ireland’s become a bit of a hub for data analytics. It’s all down to the country’s ever-growing tech ecosystem. Plus, high demand for data-driven insights and decision-making across pretty much every industry. Organisations may come in all shapes and sizes – from huge multinationals to more locally-based startups – but what they’re all recognising is that data is key to staying competitive.
In 2025, and in line with the global trajectory, Ireland’s data analytics sector is expected to continue expanding. With advancements in artificial intelligence, machine learning, and data engineering, all on the up, it follows suit that the demand for skilled data analytics professionals will climb too. Great news for those with that much sought-after data analytics skill set!
The Most Common Data Analytics Roles in Ireland
Data analytics is a great career to get into and it can offer a wide range of career prospects. According to real time marketing intelligence data, some of the most common roles we’re seeing in Ireland currently include:
- Data Analyst
These specialists are responsible for interpreting data and delivering intelligent insights for supporting critical business decisions. - Data Specialist
These are the professionals focussed on collecting, organising, and maintaining datasets, ensuring accuracy and reliability for companies. - Data Engineer
Data Engineers oversee the building and maintaining of the architecture required for large-scale data processing and storage. - Senior Data Analyst
These individuals are skilled in overseeing analysis projects and contributing to strategic decision-making. They’ll also supervise and/or mentor junior analysts. - Senior Data Engineer
These are the people who design complex data pipelines, optimise database performance, and stay on top of the latest data technologies.
As you can see, there are several diverse paths you can take, depending on your strengths, interests, and data analytics skills set. Whether coding’s your thing, or problem-solving, or storytelling with data, there’s almost certainly a role for you in data analytics.
Data Analytics Roles – What Do They Actually Involve?
No two days are ever the same for data analytics professionals – like most other tech specialities, the responsibilities are constantly evolving.
Traditionally, the data analysis process, typically looks something like this:
- Define the question
- Collect the data
- Clean the data
- Analyse the data
- Visualise and share findings
But while data analysts have historically focused on collecting, cleaning, and visualising data, today’s analyst roles tend to include advanced analytics, automation, and predictive modelling too.
Tasks carried out by data analytics professionals might include:
- Analysing large datasets – this is essential for pinpointing trends and patterns.
- Creating dashboards and attractive visualisations – really important for clearly communicating insights with others and making complex concepts simpler to understand.
- Collaborating with teams – data specialists are now often seen working across their entire organisation, helping to solve different business problems.
- Using programming languages – tools like SQL, Python, Tableau, and Power BI are no longer just for developers and data analysts often require proficiency too.
- Ensuring data integrity and security – a hot topic as more and more sensitive and/or personal data is collected and held by organisations.
The key to success in any data analytics role is a strong combination of technical know-how and soft skills. No longer do data analytics skills revolve around number crunching – there’s a whole host of additional expertise that will help you advance your career and get where you want to be.
Key Skills for Data Analytics Roles in 2025
‘Data analytics is no longer just a competitive advantage – it’s the backbone of smart decision-making. In Ireland, we’re seeing a huge demand for talent that can not only interpret data but also tell a story with it. The key for anyone in this space is always positioning themselves one step ahead of the others. The right skills will open doors, but the real game-changer is knowing how to apply them in a way that drives real impact.’ – Graham Morris – CEO, Connexus Recruit
We’ve carried out some in-depth analysis of Ireland’s data analytics professionals and are pleased to reveal the top skills required in 2025. Here’s exactly what you need to focus on:
1. Programming Skills
Programming is the backbone of data analytics and learning these programming languages will give you a competitive edge. According to our data, SQL, a programming language essential for querying databases, was the most reported skill (50%). And that was closely followed by Python (41%), known as one of the most versatile languages and commonly used for data analysis, visualisation, and machine learning.
2. Data Analysis
Data analysis is a broad area. It can include statistical analysis, data visualisation, and interpreting complex datasets. Almost half of the professionals we surveyed (47%) stated that tools like Tableau and Power BI make it much easier to uncover insights and present them in an attractive and impactful way. And that’s precisely why being proficient in this area will help you turn data into stories. Key decision makers in lots of different business areas will love you for it!
3. Data Warehousing
Data warehousing, a skill stated as important by 46% of the Irish professionals we questioned, involves storing, organising, and retrieving large datasets as efficiently as possible. This skill is critical for roles with a focus on managing and maintaining large-scale data systems. Tools like Amazon Redshift and Snowflake can help you to develop expertise in this area.
4. Analytical Skills
Analytical skills, cited by 30% of individuals, are about more than just technical ability – think problem-solving, critical thinking, and the ability to connect the dots to name just a few! These kinds of skills often overlap with others, but they’re crucial for breaking down complex problems into manageable solutions.
Soft Skills for Data Analytics Roles
And let’s not forget those all-important soft skills. Yes, technical abilities are vital in data analytics roles, but it’s soft skills that often make the difference between a good analyst and a great one. Some key soft skills to work on include:
- Critical Thinking – When you can think critically, you’re more likely to approach problems logically and come up with innovative solutions.
- Research Skills – If you can research well, you’ll be able to dig deeper into datasets, and that means you can back up your conclusions with more data and hard facts.
- Communication Skills – From presenting findings to writing reports, there’s no point being a great data analyst if you can’t share your findings with others. Making sure you can tell a compelling story with your data is essential.
- Problem-Solving – Data analytics is all about solving real-world challenges with data-driven strategies. Being able to come up with solutions and confidently supporting colleagues to execute them, is key.
- Attention to Detail – Your recommendations are likely to form the basis of business-critical decisions – not to mention your credibility. Ensuring your insights are accurate and reliable is vital.
Fastest Growing Data Analytics Skills in Ireland
We’ve explored the most common roles, but what about the fastest growing? At Connexus Recruit, we’ve noticed that over the past year, certain skills have skyrocketed among Irish professionals. Some of the skills becoming increasingly relevant, and particularly as the data landscape shifts towards automation, include:
- Exploratory Data Analysis (68% growth) – This is about diving deeper into datasets to uncover hidden insights.
- Statistical Analysis (65% growth) – Just behind Exploratory Data Analysis in our list of fast-growing skills is Statistical Analysis, this is an advance method of making precise predictions.
- Microsoft Power Apps (58% growth) – Demand for people with the ability to use these low-code solutions for building custom apps to analyse data is on the rise.
- Technical Data Analysis (57% growth) – Combining technical and analytical abilities to work with complex systems is an increasingly sought-after skill.
How to Improve Your Data Analytics Skills in 2025
No matter where you are in your career, there’s always room to grow. Data analytics is a fast-changing field, so the secret is staying up to date. Whether you’re just starting out or you’ve been in the industry for years, here’s how to remain competitive and stand out to employers:
- Take Online Courses
If you want to learn some new data analytics skills, online courses can be a great place to start. Platforms like Coursera, DataCamp, and edX can provide you with flexible courses on all sorts – from Python and SQL to tools like Tableau and Power BI. Lots of these courses allow you to work at your own pace, so they’re a good solution if you’re juggling a full-time job or other responsibilities.
But if you’re already comfortable with the basics, why not look for more advanced classes? You could hone your skills in building machine learning models, or what about improving your data visualisation skills? To stay on track, it’s a good idea to set a weekly goal for your course work; even an hour or two each week will build up over time. And before you know it, you’ll be adding more key data analytics skills to your CV.
- Earn Certifications
If you want to take things a step further than an online course, why not look at adding a professional certification to your armoury? Certifications can really help you stand out in a crowded job market as they’re a great way to show potential employers that you’re serious about your subject and skills. Well-recognised options include the Microsoft Certified Data Analyst or Google Data Analytics Certification.
- Practice Real-World Projects
Theory’s great, but there’s nothing quite like hands-on experience. If you build a portfolio of real-world projects, you’re not just telling potential employers about your technical knowledge, you’re demonstrating it. And think outside of the box – you don’t have to be limited to working in professional roles – consider making the most of websites like Kaggle too. Kaggle lets you participate in competitions where you work on real-life industry problems using data. Even if you don’t win, you can learn a lot from getting involved.
- Keep Up with Trends
As we’ve stated, the world of data analytics never stands still. New tools and methodologies crop up all the time, so it’s important to keep your knowledge updated. One of the best ways to do this is to follow industry thought leaders on social media platforms. There are experts like Cassie Kozyrkov (Chief Decision Scientist at Google) who often share insights, tips, and the latest developments.
There are webinars and industry conferences too. Many are offered online, so you can attend from the comfort of your sofa! Getting into the habit of regularly catching up on blog posts, podcasts, or YouTube videos on related data trends, can help you stay ahead.
- Network with Professionals
Ever heard the saying, ‘It’s not what you know, it’s who you know?’ Well, it’s certainly true when it comes to furthering your data analytics career. Your network can be just as valuable as your technical skills and building connections with other data professionals – think mentorship, collaborations, and even job referrals – can really help.
There are online communities like Reddit’s r/datascience as well as LinkedIn groups focused on analytics. But don’t forget in-person events, too. Local data meetups or hackathons can help you connect with other professionals who you can learn from directly.
Conclusion
So, what does the future look like for data analytics? It’s certainly both an exciting and challenging career for those who choose this route, and especially in Ireland where the sector continues to grow.
The key to success is perfecting the most in-demand skills we’ve discussed in this article – remembering that the data analytics landscape is not what it once was. Roles are now diverse and all-encompassing, not to mention extremely valuable to companies of every size. From programming to critical thinking, responsibilities span far more than they once did. But by staying updated with new tools and the latest ways of working you’ll be ready to take on any challenges you’re faced with.
If you’re looking to take the next step in your career, Connexus Recruit can help you find a role in data analytics. We’re working with professionals like you, day in, day out, and can help you with career advice and, of course, finding fantastic opportunities that align with your goals.
Contact us today to chat about where you want to take your data analytics career!
