5 Data Analyst Career Paths: Your Guide To Levelling Up Your Career In Singapore in 2023

November 08, 2022

5 Data Analyst Career Paths: Your Guide To Levelling Up Your Career In Singapore in 2023

What Do Data Analysts Do? The Work of Data Analysts sift through masses of data to find patterns, predict future outcomes, and glean knowledge that can aid in their companies’ business decisions. Truth be told, your employer has a significant impact on the direction your career as a data analyst will take.

Wanting to rise with and maintain the pace in a highly evolving consumer setting has become the norm for corporations and businesses, which is why big data means so much more these days.

But first, let us discuss what big data means. Simply put, it is a vast compilation of intricate data collections that cannot be processed, examined, or transferred by human computing capability. Big data analytics lets you discover movements and routines and create understandings that affect your marketing tactics.

Getting a data analytics qualification can open up a variety of exciting career paths, including data science, management, consulting, or specialisation.

Big data can conceal different information regarding customer manners, which includes numerical data clusters, contact numbers, email addresses, organic reaches, and the online ads they open.

Collecting data is one thing, but multiple institutions may find it hard to manage and analyse enormous datasets. Big data analytics and information science can supply companies with insightful directions, manners, and projections that can be utilised to aid marketing strategies and the institution as a whole.

The big data rise means a lot of new and exciting career opportunities for data analytics graduates or professionals. This could mean being employed in various enterprises such as in the government or aviation or having the prospect to travel around the globe. This is on top of the financial advantages that the tremendous need for data analytics provides. With numerous businesses hoping to capitalise on data to enhance their operations, it is a fascinating period to begin a profession in data analytics.


3 Skills Data Analysts can Gain with Data Analytics

3 Skills Data Analysts can Gain with Data Analytics
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Businesses that leverage data analytics can significantly improve their performance over time, as you have seen above. Since data analytics can only be collected and reviewed by experienced data analysts, this profession has seen an increased demand around the world. Listed below are ways data analysts can help to maximise decision-making:


1. Better Knowledge of Consumers and Contenders

Comprehending consumers’ demands and understanding what rivals are accomplishing is essential for all businesses. However, your immediate purpose as a data analyst is to learn how to grab the attention of potential consumers and transform them into actual spending consumers.

With each second passing, businesses are vying for the attention of consumers. Utilising big data analytics in the marketing movements can accumulate helpful and applicable understandings regarding the business’ target consumers. For instance, you can decide which advertisements function the most useful in leading them to the business’ social media or website and how much organic engagement it will take before they convert.

It is best to utilise Google Analytics in the email sales campaign to follow the clicks on emails sent and explore the significance of newsletters or sales emails. This is because if you have better insight, it will lead to better leads and a higher ROI.


2. Enhance Consumer Engagement and Understanding

Numerous brands utilise big data analytics to promote consumer engagement and cultivate their commitment to the business. By boosting their digital marketing campaigns by utilising big data, businesses can react quickly to consumers’ demands, and consumers gain a more reasonable understanding of authority over their shopping venture.

For instance, assume you can use big data to decide which items or services are most prevalent in a particular market. If that is the case, you can create email campaigns about that specific product and transmit it to a segmented checklist that suits that particular market. This indicates to consumers that the business is thinking about their desires and demands and provides them with a more enjoyable, customised experience.

At its core, data analytics is everything about problem-solving. The issues occur much more than what many of us are used to – impacting whole companies, the team, and the consumers they have. The capability to think analytically and solve issues accurately is a talent that is always helpful both in the professional and personal sense.


3. Improve Conversion Rates

Now that you have the appropriate consumer data, the business can finally decide where to concentrate its marketing techniques.

If a specific channel is not supplying the desired ROI, it does not matter how a business changes it, but it may be advisable to put its focus on different, better-effective channels. Big data analytics lets a business recognise possibilities it may have forgotten and decide which guides to promote and renounce.


Levelling up: 5 career paths for a data analyst

Levelling up: 5 career paths for a data analyst

You might find opportunities to improve your career in a few different directions as you gain expertise as a data analyst. You might advance into data science, management, consultancy, or a more specialised data career, depending on your objectives and interests.


Financial Analyst, Credit Analyst, Business Analyst

The most common classification for data analysts is typically the financial analyst category. Business analysts, management analysts, and a wide range of various kinds of investment analysts can all play a part in this kind of function.


Big Data Specialist

The uses of data are changing along with the corporate world, with machine learning, big data analysis, and big data technologies displaying some of the top growth sectors. These big data technologies are increasingly being incorporated into data analysis programmes at prestigious universities in the United States and around the globe.


Business Analyst

Management reporting: Provides management with data analytics on operational business processes. Corporate strategy analyst: this kind of position will prioritise data analysis across the entire organisation and provide management with strategic direction. The focus of this position might also include mergers and acquisitions. Analysts that study employee compensation and benefit data are typically employed by human resources departments. Budget analyst: specialises on reporting and analysis of a certain budget. Analyses data from individuals, businesses, and industries to make recommendations about insurance plans. In order to generate probability tables, risk forecasts, and liability plans for insurance companies, actuaries study mortality, accident, sickness, disability, and retirement rates.


Social Media Data Analyst & Digital Web Analytics

These roles thoroughly examine a dashboard of analytics related to a certain website, topic, or page. Sales data that supports, enhances, or optimises the sales process is the focus of sales analytics.


Fraud & Credit Analyst

Fraud and credit analyst analyses fraud data, monitors credit risk, approves loans, and analyses loans. The credit market has a wide range of needs for analytics and information science. Data is essential to the development, monitoring, and advancement of the technologies and services that social media platforms rely on.


Machine learning & Data scientist

A newer approach called machine learning involves teaching computers to make cognitive judgments. Data preparation, data feeds, result analysis, and other tasks are just a few of the things that machine learning analysts may work on. Data analysts are the first step for many data scientists. Typically, making this shift entails developing your programming abilities and studying more difficult maths.


Consultant and Management

Going into management is another typical job route for data analysts. Before becoming a senior-level analyst, analytics manager, director of analytics, or even chief data officer, you might begin as a data analyst (CDO).

After working for a company (or several different companies) for a number of years, you might think about becoming a data analytics consultant. As a freelance contractor or for a consulting company, you would carry out analysis for many clients rather than working directly for a company.

If you’re interested in pursuing this path, you’ll want to focus on developing your leadership skills alongside your data skills. In some companies, a master’s degree in data analytics or business administration with a focus on data analytics might be required to attain these higher-level positions. Working as a consultant often means more variety in the type of analysis you’re performing, as well as greater flexibility (particularly if you’re self-employed).




In recent years, there has been a rise in the demand for analytics. With the surplus of data available nowadays, the possibility of leveraging understanding from that data has never been more critical. This means that now is an excellent period to start your sojourn into big data analytics, with multiple education specialists driving the subject’s significance as essential that it must be conducted in secondary and higher education organisations. In fact, more and more Master’s Degree courses in Singapore are dedicated to data analytics. This will result in data analysts‘ value to significantly increase, developing more suitable career prospects and advancement opportunities.

You can count on Aventis to kick-start your career as a data analyst today. Our Master of Science in Data Analytics is awarded by the London Metropolitan University, ranked 13th by The Guardian University League Tables 2021 for Computer Science & Information Systems. You can look forward to learning in-depth skills in the data analytics field, from data mining and statistical modelling to data visualisation and general business knowledge. Alumnus have gone to become data scientists, cyber security specialists, and UX designers, to name a few. Find out more about our programmes, including part-time MBAs in Singapore, here.

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