What does a data analyst do?

What does a data analyst do?

Every digital system that surrounds us is constantly being bombarded with more and more data every second. Whether you are browsing for something new using the internet search bar or have simply left your gadget on the table (with the internet on) your phone or laptop is constantly generating and consuming data. The quantity of the data we are indicating here becomes infinite when multiplied by the global population count.

But what is the ultimate purpose of all this data transfer and how can we be more aware of our actions in our data-driven era?

Well, as long as we have experts who can analyse this data or potential candidates willing to take the step of learning data analysis, we've got nothing to worry about!

If you are curious to know who data analysts are and what they spend their crucial hours doing, then keep reading this blog to satisfy that curiosity.

Defining the term ‘data analyst’

Professionals who implement data analytics tools to identify trends within the international markets and provide a competitive analysis are generally referred to as data analysts.

With organisations across the world starting to rely on data, to make all types of critical business decisions, more and more recruiters continue their hunt for building an efficient team of data analysts to determine inefficiencies within the company and resolve business problems.

According to IBM, the number of job openings for data professionals within the United States alone has increased by 364,000 to 27,200,00 in the last year!

Individuals holding a good grounding in analytics can offer data-driven insights to managers, executives, and stakeholders in an organisation, allowing them to get in tune with the several internal and external factors that can affect business data outcomes.

Roles and responsibilities of a data analyst

Earning a professional degree in data analytics will allow you to master the concepts of statistical modelling, predictive analytics, probability theory, data visualisation, and risk management, all that is vital for a company to gain popularity among its audience.

You may choose to work in any of the four areas within the umbrella sector of data analytics ꟷ descriptive, diagnostic, predictive, or prescriptive.

No matter the type of job profile you land upon, a typical business day when working as a data analyst will include the following tasks:

  • Determining organisational goals

This involves working in liaison with the IT and management team to fix coding errors and data associated problems, and design and maintain databases and systems.

  • Data mining

This process aids in the generation of new information and unlocking various insights, by formulating different patterns within the data by the implementation of computational algorithms.

  • Data cleansing

This is a stage integrated within the data preparation process, which makes room for identifying, analysing, and correcting raw data to standardise it into a single format.

  • Data evaluation

This task is all about exploring innovative facts that a data set has to offer, moving on to answer specific questions with the help of logical reasoning and interpretation.

  • Focusing on patterns and trends

As a data analyst, you are expected to be proficient at unfolding complicated data sets through correlation techniques, pushing the overall business in the right direction.

  • Presenting reports with clear visualisation

Studying data analytics in Singapore will allow you to gain data analysis experience at reporting raw data into translated information, required for better monitoring of online businesses, as well as keeping the audience engaged.

  • Maintaining data systems and databases

This is the most common task that all data analysts share that involves appropriate coherence, storage and availability of electronic data, to meet an organisation’s needs at any point in time.

Top skills required for a data analyst career

To make business information more flexible and scalable across data sets, data analysts are often called on to leverage tools and use relevant skills to make strategic business decisions.

Let’s dive into a few of them!

Project management techniques

Data analysts are expected to possess a rudimentary understanding of project management life cycles, in order to help a project move from the level of ideations to completion. Some of the relevant data analyst skills include:

  • Translating data into real and actionable insights by asking the right questions.
  • Collecting and interpreting data to conduct a preliminary benefit realisation analysis.
  • Leveraging interpretations to communicate analysis results to the key stakeholders.
  • Offering guidance to the organisation and recommendations to the sponsors.
  • Using key performance indicators (KPIs), videos and dashboards to monitor the success and progress of a project.
  • Strategizing upcoming steps on what actions should be taken moving forward, lessons learned and things that should be done differently next time. 

Technical skills

Corporations have started to realise the value of data-driven business strategies and are in constant need of talented data analysts who possess a specialised combination of technical data analytical skills, such as:

  • Structured query language SQL
  • Microsoft Excel
  • R or Python statistical programming
  • Machine learning
  • Data visualisation
  • Critical thinking and presentation

Leadership qualities

Being a successful leader in the field of data analytics requires you to inspire others to take action, as well as set a course for future success. Some of the leadership skills that the data analysis job calls for include:

  • Focusing on self-awareness and personal development.
  • Building on the principles of situational leadership theory.
  • Encouraging innovation by charting out product road maps and staffing needs.
  • Being ethical and civic-minded, for both their teams and customers.
  • Practising effective cross-cultural communication, with the stakeholders, co-workers, business units, and the entire company.

How much do data analysts earn?

The benefits of hiring a data analyst come along with the hefty price range companies must pay to employ them, ranging from $10,5000 to $11,7000 per annum.

With all the unique data analyst roles and responsibilities springing up each day, the world is observing an accelerated rate of salary increase, for deserving candidates.

If you intend to become a data analyst, then you must check out the Diploma in Data Analytics and the Higher Diploma in Data Science Analytics courses offered by the London School of Business and Finance Singapore (LSBF SG).

The programmes have a structured learning path that ensures your transformation into an expert data analytics professional, closely guided by leading industry experts.

Apply to the programme now, and let us assist you in following the correct path towards becoming a data analyst!


Suggested Programmes

Foundation Diploma

This foundation diploma has been developed as an initial qualification for students who have completed their O-Level and/or high school education, and are aiming to embark on a career in the business & IT industry.

Diploma in Information Technology

The Diploma in Information Technology (IT) provides students with the necessary theoretical knowledge and practical skills to meet career opportunities in the IT industry.

Diploma in Data Analytics

The Diploma in Data Analytics has been developed to provide a qualification for students who are seeking to work in the Business Analytics Industry or in occupations where Big Data management will be of utility.

Higher Diploma in Computer Science

The Higher Diploma in Computer Science aims to achieve an international standard of high-quality training which will lead to a universally recognised qualification, enabling graduates to pursue a career in computer science or enrol in undergraduate programmes at a university.

Recommended Blogs for You

4 types of data analytics to improve decision making

When executed effectively, data-driven decision-making can have a tremendous impact on the long-term success of a business. Business intelligence and…

Data analytics application: Effective use in different industries

Big data has become a necessity for any modern industry to survive. As AI continues to infiltrate our everyday lives,…

Top 10 tools & programming language used for data analytics

Are you tired of your digital gadgets knowing things about you that you haven’t even shared with your friends and…

Request More Information

Contact a programme advisor by calling
+65 6580 7700

Back to top