Data Analytics CPD for Accountants: Skills and Courses for 2026

Data analytics has become an increasingly important capability in finance, transforming how financial professionals work with information and add value. For accountants and finance professionals, developing data analytics skills through CPD is increasingly valuable. This guide explains what data analytics means in finance, why it matters, how it's changing the finance role, and how to build these skills. For related material, see our guide on continuing professional development and finance skills.

What is data analytics in finance?

Data analytics refers to the process of examining data to draw out insights that support understanding and decision-making. In finance, this means using data — financial and increasingly non-financial — to analyse performance, identify trends and patterns, support decisions, and provide insight to the business. As organisations generate and hold ever more data, the ability to work with it effectively has become a valuable skill for finance professionals. Data analytics in finance can range from analysing financial information to identify what's driving results, through to more advanced techniques for handling larger and more complex datasets. The core idea is turning data into useful insight. For finance professionals, who have long worked with numbers and analysis, data analytics is in many ways a natural and powerful extension of what they do — helping them provide deeper, more valuable insight to support their organisations.

Why data analytics matters for finance professionals

Data analytics has become important in finance for several reasons. Organisations increasingly hold large amounts of data, and the ability to make sense of it is valuable. There is growing emphasis on finance professionals providing insight and decision support — not just reporting what happened, but helping the business understand why and what to do — which data analytics directly supports. Strong analytical skills can help finance professionals add more value and be more effective in their roles. And as the tools and techniques for working with data develop, those who can use them are well-placed. For these reasons, data analytics is increasingly seen as a valuable capability for finance professionals, complementing their core financial expertise. Developing these skills can enhance your effectiveness and your value, which is why analytics is an increasingly common focus for professional development.

Key aspects of data analytics

Data analytics for finance professionals can encompass a range of aspects, which may include:

• Working with data — gathering, organising and handling data effectively.
• Analysis techniques — methods for examining data to draw out insights.
• Interpreting results — making sense of analysis and drawing sound conclusions.
• Tools and technology — the tools used to work with and analyse data.
• Communicating insights — presenting findings clearly to support decisions.

The mix that's most relevant depends on your role, but together these reflect the journey from data to insight to decision. Importantly, analytics is not just about technical technique — interpreting results sensibly and communicating them clearly are just as important as the analysis itself.

How data analytics is changing the finance role

Data analytics is part of a broader shift in what finance professionals do. Traditionally, much of finance work focused on recording and reporting what had happened. Increasingly, the emphasis has moved towards providing insight and supporting decisions — helping the business understand not just the numbers, but what they mean and what to do about them. Data analytics is central to this shift, since it's the means by which finance professionals turn growing volumes of data into useful, forward-looking insight. As more routine tasks become automated, the value finance professionals add lies increasingly in analysis, interpretation and business partnering — areas where analytics skills are directly relevant. This means developing data analytics capabilities isn't just about learning a tool; it's about being well-positioned for where the finance role is heading. Professionals who build these skills are better placed to provide the insight and decision support that organisations increasingly value, making analytics a genuinely strategic capability to develop.

How to build your data analytics skills

Data analytics skills can be developed deliberately. Build on your existing strengths — finance professionals already have strong analytical foundations, which provide a great starting point. Develop relevant technical skills, including comfort with the tools used to work with and analyse data. Learn analysis techniques appropriate to your needs and role. Focus on interpretation and communication, since drawing sound conclusions and presenting them clearly is where much of the value lies. Undertake relevant CPD and training, as structured learning can help build analytics capabilities efficiently. And practise applying analytics to real situations in your work, since skills develop through use. Building data analytics skills is increasingly worthwhile for finance professionals, enhancing their ability to provide insight and add value. Treating it as a genuine part of your professional development is a wise investment in staying effective and relevant.

Frequently asked questions

What is data analytics in finance?

The process of examining data — financial and increasingly non-financial — to draw out insights that support understanding and decision-making, turning data into useful insight.

Why does it matter for finance professionals?

Because organisations hold more data, there's growing emphasis on insight and decision support, strong analytical skills help add value, and those who can use developing tools are well-placed.

How is analytics changing the finance role?

It's central to the shift from recording and reporting towards providing insight and supporting decisions — where finance professionals increasingly add value as routine tasks become automated.

How do I build data analytics skills?

Build on your existing analytical strengths, develop relevant technical skills and tools, learn analysis techniques, focus on interpretation and communication, undertake relevant CPD, and practise applying analytics.

Develop your skills with Learnsignal

Analytics builds on strong financial foundations. Learnsignal's tutor-led CPD and ACCA courses develop the analytical capabilities finance professionals need — with expert tuition and flexible online study that fits around work.