Data Analyst

Data Analysts use data to help companies make better business decisions. They specialise in collecting, processing, and performing statistical analyses on large datasets.

Data Analyst Job Description

Collect data from different sources.
Clean and remove irrelevant information from raw data.
Identify patterns and trends in data.
Document results of analysis.
Create and maintain databases and data systems.

Note

As Data Analysts are in demand in almost every industry, you will be able to work in a variety of industries such as Market Research, Finance and Healthcare!

A day in the life

Data & Analytics Consultant

As a Data & Analytics Consultant, Joey takes chaotic data and organising it in a way that makes sense for her clients make decisions more effectively.

What you should know about Data Analyst jobs in Singapore

Nature of Work

There will be lots of learning on the job as Data Analysts. You will have to deal with changing trends and technologies.

Key advice

You will need to present results from your analysis using data visualisation and analytic tools.

Entry Requirements

Entry Requirements
A bachelor's degree in Computer Science or related fields is usually preferred.

If you have some experience working with data, try to download public data sets from data.gov.sg and draw insights from them. It would certainly set you apart from the competition!
Possible Pathway

Possible Pathway

Skills you need to pursue a Data Analyst career in Singapore

Hard Skills

Analytics Software

Proficiency in software tools used for data analysis, such as Excel, SAS, SPSS, R and Python libraries.

Programming Languages

Use Python, R, or SQL for data manipulation, statistical analysis, and automation of tasks.

Machine Learning Skills

Use machine learning concepts and algorithms to analyse complex datasets and make predictive models.

Business Innovation

Understand business processes and objectives and use data to drive innovation and business growth.

Data Visualisation

Present data in a visually compelling way using tools like Tableau or Power BI.

Soft Skills

Communication

Strong verbal and written communication skills to articulate data insights and recommendations effectively.

Problem-Solving

Ability to approach complex data challenges methodically and develop effective solutions.

Critical Thinking

The capacity to critically assess data, identify patterns, and question assumptions.

Creative Thinking

Creativity in exploring new ways to analyse data, present insights, and solve problems.

Adaptability

Adjust to new technologies, methodologies, and shifts in business strategies or data trends.

“I transform data into a clean visible dashboard, allowing clients to make decisions fast and easily. ”

Joey Tay, Data and Analytics Consultant

Frequently asked questions (FAQs)

Do Data Analysts have to be good with numbers?

Being proficient in statistics and identifying trends in data is essential in certain fields where quantitative analysis and data-driven decision-making play a crucial role.
Are specific coding languages required for Data Analysts?

Yes. Data Analysts frequently use programming languages like Python and SQL for data manipulation.
What do Data Analysts do when there is missing data?

Analysts either predict or remove the data depending on the amount of data available, analysing the impact of the missing data, before documenting it.
What tools do Data Analysts use to analyse data?

Data Analysts use various tools to analyse data, including spreadsheet applications, particularly Microsoft Excel and Google Sheets.
How do Data Analysts ensure that the results obtained are accurate?

They verify by cross-referencing the data with multiple reliable sources to ensure consistency and accuracy.