Why Data Analytics Is A Must-Have Skill For Professionals

Jordy Kingiela is a Senior Data Scientist at one of South Africa’s Big 5 banks, specialising in application and behavioural credit risk modelling.

When people hear the term “data analytics”, they often think of data scientists, analysts, programmers, or highly technical professionals working with complex systems and algorithms.

In reality, a Data Analytics short course is becoming increasingly relevant for professionals across almost every industry. Organisations rely on data to understand performance, solve problems, identify opportunities, and make informed decisions, creating demand for people who can confidently work with information and insights.

Whether you manage a team, run a business, oversee projects, work in administration, or support day-to-day operations, there is a strong chance that data already influences many of the decisions you make.

In my experience as a data scientist, one of the biggest misconceptions is that you need to be highly technical to benefit from understanding data. Some of the most effective professionals are not necessarily the people building complex models. They are the people who know how to ask the right questions, interpret information correctly, and use evidence to support decision-making.

What is data analytics?

Data analytics is the process of collecting, organising, analysing, and interpreting data to uncover useful insights.

At a practical level, it also requires data literacy: the ability to read, understand, interpret, and communicate information using data.

Data analytics is not only about creating reports or building dashboards. It is about understanding what the information is telling you and using that knowledge to make better decisions.

A professional with data analytics skills can:

• Identify patterns and trends
• Interpret business performance
• Support decisions with evidence
• Recognise risks and opportunities
• Communicate insights clearly
• Solve problems using information

These capabilities are becoming increasingly valuable as organisations generate and collect more information than ever before.

Data analytics is constantly evolving

Staying relevant means refusing to rest on your laurels. With technology evolving at a relentless pace, especially as Artificial Intelligence reshapes how we work with data, continuous learning has become essential rather than optional.

Professionals who understand data are better positioned to adapt to new technologies, embrace innovation, and remain valuable in an increasingly data-driven workplace.

Why organisations value data-driven professionals

Businesses today operate in environments where decisions need to be made quickly and accurately.

Data helps organisations understand customers, improve operations, manage risk, identify opportunities, and measure performance. As a result, employers are looking for professionals who can work confidently with information and contribute to data-driven decision-making.

This is not limited to specialist analytics teams.

Managers use data to monitor performance. Human resource professionals use data to understand workforce trends. Marketing teams use data to evaluate campaigns. Operations teams use data to improve efficiency. Government departments use data to guide service delivery.

The ability to understand and interpret information has become a valuable workplace skill regardless of industry or job title.

Data skills are no longer reserved for technical roles

One of the most significant changes I have observed throughout the industry is how widely data skills are being adopted.

A decade ago, many data-related tasks were handled by dedicated specialists. Today, many professionals are expected to work with spreadsheets, reports, dashboards, and performance metrics as part of their day-to-day responsibilities.

This shift has created opportunities for individuals who may not come from traditional technical backgrounds but want to strengthen their analytical capabilities.

Developing foundational data skills can help professionals become more effective in their current roles while also opening doors to future career opportunities.

Understanding the growing demand for Data Analytics jobs

As organisations continue to invest in digital transformation, the demand for analytical skills continues to grow.

Many professionals begin their data journey because they are interested in pursuing Data Analytics jobs. While these roles remain in high demand, the skills developed through data analytics are equally valuable in many adjacent professions.

Roles such as reporting analysts, business intelligence assistants, operations analysts, project coordinators, and business support professionals all require an understanding of how to work with information effectively.

The growing demand for Data Analytics jobs reflects a broader trend: organisations want employees who can use data to solve problems and support better decision-making.

Analytics skills also create opportunities far beyond traditional data roles. From financial services and risk management to retail, healthcare, media, marketing, and entertainment, the ability to interpret and communicate insights from data provides a valuable competitive advantage across a wide range of industries.

The importance of turning data into insight

Collecting data is only one part of the process.

The real value comes from understanding what the information means and what actions should be taken as a result.

This requires critical thinking, context, and communication.

A report may show declining performance, but what is causing the decline? A dashboard may reveal a trend, but what action should follow? A dataset may contain useful information, but how do you communicate the findings to stakeholders who are not data experts?

These are the skills that transform data into meaningful business insight.

Data analytics adds value long before decisions are made. It does not simply answer questions. It helps us identify the right questions to ask in the first place, guiding more strategic thinking and helping organisations focus on what matters most.

In my work, I have often found that the ability to communicate findings clearly can be just as important as the technical analysis itself.

Building practical data analytics skills

For individuals who want to improve their data analytics skills, the good news is that there are many accessible ways to start.

The goal is not necessarily to become an expert immediately. Instead, focus on building a strong foundation.

This includes learning how to:

• Collect and organise data
• Identify patterns and trends
• Analyse information effectively
• Create meaningful visualisations
• Communicate findings clearly
• Apply data ethically and responsibly

As Artificial Intelligence becomes increasingly integrated into the workplace, data ethics is becoming more important than ever. Using data responsibly and engaging with Large Language Models (LLMs) requires careful consideration of privacy, fairness, transparency, and accountability.

It is also essential to understand where your data comes from. Knowing the origins, context, and limitations of collected data helps ensure insights are reliable and reduces the risk of drawing misleading conclusions.

These practical skills can help professionals become more confident and capable when working with information in any workplace setting.

A Data Analytics short course can be a useful starting point for individuals who want structured exposure to these concepts while building confidence with commonly used tools and techniques.

Looking ahead, a Data Analytics short course helps

Data is no longer confined to specialist departments. It influences decisions across organisations, industries, and sectors.

As technology continues to evolve and organisations become increasingly data-driven, the ability to understand and work with information will become even more important.

The rise of Artificial Intelligence is only accelerating this trend. While technology continues to evolve, organisations still need professionals who can understand data, evaluate insights critically, and apply sound judgement when making decisions.

Whether your goal is to improve your current performance, support better decision-making, or explore future opportunities in Data Analytics jobs, developing data analytics skills is one of the most valuable investments you can make in your professional development.

A Data Analytics short course can provide a practical foundation for building these skills, helping professionals gain confidence in working with data, identifying insights, and supporting better business decisions.