Datareportal’s report states that as of mid-2024, two-thirds of the world’s population should be online. These users sent and received approximately 306.4 billion emails every day in the year 2020. If the trend continues by 2025, the amount of data generated each day is expected to be around 463 exabytes globally. Now, that’s a lot of data! So if there’s an increase in data, it creates a need for someone to analyze the data for the benefit of someone. This denotes the ever-increasing need for data analysts. In this blog, we will take a look at the following:
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What is data analytics?
Data analytics is the science of analyzing raw and uncleaned data to make clear insights and reports. Data Analytics is essential since it helps companies to optimize their performance. Adding the analysis to the existing business models helps companies cut off some expenses and do more efficient business. A company that is using Data Analytics is more likely to make better decisions and analyze customer satisfaction and trends, ultimately leading to a better product.
Who is a data analysts and what do they do?
To be short and precise, data analysts are the ones who translate the raw data of numbers, figures, and statistics into layperson terms so that everyone could comprehend what is inside the data. Adding on, we produce around 2.5 quintillion bytes of data and these numbers will eventually blow up. So, the demand for data analysts is always going to be there.
Skills needed as a Data Analyst
Every field requires some skills for a successful career. The same rule applies to data analytics. Let us take a look at the skills that you need as a data analyst for a successful career.
Business Knowledge
In the field of data analytics, you, as a data analyst, will have to make decisions that could affect the company’s process. So, you will need to go through all business variables and be able to make better business decisions. In order to make a decision like that you should have complete knowledge of the business and its process. This is a vital skill when it comes to survival and success in the industry.
Mathematics and Statistics
A data analyst primarily works with numbers and statistics, so having strong knowledge of those is a mandatory skill. This will help your analysis and you will be able to understand what data you are working with. Adding on that, understanding the statistics will help you to identify whether the analysis is valid or not.
Technical Knowledge
The primary role of a data analyst is to extract data from the given data sets. So, in order to extract the data, you will need to know some technology and programming languages. Python, R, and SQL are the most common programming languages that are used in the field. In some cases, you probably would need to extract data from complex data sets; so, knowing these languages will help you by making the extracting process a bit easier.
Data visualization
The ultimate goal after gathering and analyzing the data is to produce the final insights for other colleagues or even higher officials. Most people will not be able to get meaningful insights while seeing large spreadsheets of numbers. So, as a data analyst, you will be able to create data visualizations to have a clearer picture of the data. Most data analysts use charts and graphs as their way of communicating data to their fellow colleagues.
Writing and Communication
One of the important goals of a data analyst is to make colleagues understand the data; effective communication is needed in order to do that. Creating a written report is the primary job in the field of data analytics. So, better communication and written skills are undoubtedly the most important skill that every data analyst should possess.
Salary of a Data Analyst
Like every other field, the salary of a data analyst is also affected by multiple factors, which include experience, company, location, and skill. The salary of a data analyst is the main focus of this blog. We are going to go through the salary of data analysts in top countries.
Data Analyst Salary in India
The average salary after data analytics course in India is around ₹440,769.
Salary by experience
| Title | Experience | Pay |
| Entry-level (Fresher) | 0-1 year | ₹342,850 |
| Early career | 1-4 years | ₹425,661 |
| Mid-career | 5-9 years | ₹691,717 |
| Experienced | 10+ years | ₹942,653 |
Salary by city
- Data analyst in Bangalore earns 17.4% more than the national average salary.
- The same data analyst in Gurgaon earns 5.2% more than the national average.
- In Pune, he would earn 4.8% more than the average salary.
- On the contrary, a data analyst in Mumbai and Delhi would earn 7.5% less than the national average.
- In Chennai, these professionals would earn 6.8% less than the average salary.
Data Analyst Salary in the US
The average salary after data analytics course in United States is $70,015 per year in the United States
Salary by experience
| Title | Experience | Salary |
| Entry-level (Fresher) | <1 year | US$66,860 |
| Mid-career | 3-5 years | US$74,152 |
| Experienced | 10+ year | US$82,881 |
Salary by city
- Washington DC US$ 82,789 / year
- California US$ 66,774 / year
- New York NY US$ 73,809 / year
- San Francisco US$ 103,250 / year
- Seattle US$ 70,630 / year
- Texas US$ 68,213 / year
- Los Angeles US$ 70,289 / year
- Chicago US$ 69,848 / year
Data Analyst Salary in the UK
The average salary for a Data Analyst in the United Kingdom is approximately £27,722.
Salary by experience
| Title | Experience | Pay |
| Entry-level (Fresher) | 0-1 year | £24,629 |
| Early career | 1-4 years | £27,283 |
| Mid-career | 5-9 years | £32,244 |
| Experienced | 10+ years | £34,103 |
Salary by city
- Data analyst in London earns 13% more than the national average salary.
- The same data analyst in Edinburgh earns 4% more than the national average.
- On the contrary, a data analyst in Manchester would earn 9% less than the national average.
- In Glasgow, these professionals would earn 12% less than the average salary.
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Data Analyst Salary in Canada
The average salary after completing data analytics course in Canada is approximately CA$57,615
Salary by experience
| Title | Experience | Pay |
| Entry-level (Fresher) | 0-1 year | CA$50,477 |
| Early career | 1-4 years | CA$56,938 |
| Mid-career | 5-9 years | CA$65,934 |
| Experienced | 10+ years | CA$71,653 |
Salary by city
Now let’s see how data analysts paid across the cities.
- Data analyst in Toronto earns 1% more than the national average salary.
- The same data analyst in Calgary earns 6.2% more than the national average.
- In Vancouver, these professionals would earn 5.6% less than the average salary.
- On the contrary, a data analyst in Montréal would earn 4.3% less than the national average.
- In Mississauga, these professionals would earn 2% less than the average salary.
Data Analyst Salary in UAE
The average salary for a Data Analyst in the United Arab Emirates is approximately AED 116,187.
Salary by experience
| Title | Experience | Pay |
| Entry-level (Fresher) | 0-1 year | AED 100,000 |
| Early career | 1-4 years | AED 115,420 |
| Mid-career | 5-9 years | AED 129,600 |
| Experienced | 10+ years | AED 175,000 |
Salary by city
- The average salary for a data analyst is AED 131,721 per year in Abu Dhabi.
- The average salary for a data analyst is AED 72,962 per year in Dubai.
Data Analyst Salary in Australia
The average salary for a Data Analyst in Australia is approximately AU$71,992
Salary by experience
| Title | Experience | Pay |
| Entry-level (Fresher) | 0-1 year | AU$60,740 |
| Early career | 1-4 years | AU$70,435 |
| Mid-career | 5-9 years | AU$86,236 |
| Experienced | 10+ years | AU$96,222 |
Salary by city
- Data analyst in Canberra earns 28.4% more than the national average salary.
- The same data analyst in Perth earns 8.7% more than the national average.
- In Newcastle, these professionals would earn 1.9% less than the average salary.
- On the contrary, a data analyst in Brisbane would earn 9.6% less than the national average.
- In Melbourne, these professionals would earn 1.5% less than the average salary.
- In Adelaide, these professionals would earn 1.2% less than the average salary.
Data Analyst Salary in Singapore
The average salary for a Data Analyst in Singapore is approximately S$49,983
Salary by experience
| Title | Experience | Pay |
| Entry-level (Fresher) | 0-1 year | S$42,580 |
| Early career | 1-4 years | S$50,515 |
| Mid-career | 5-9 years | S$64,329 |
| Experienced | 10+ years | S$77,754 |
Data Analyst Salary in Germany
The average salary for a Data Analyst in Germany is approximately €45,682
Salary by experience
| Title | Experience | Pay |
| Entry-level (Fresher) | 0-1 year | €40,854 |
| Early career | 1-4 years | €45,512 |
| Mid-career | 5-9 years | €55,956 |
| Experienced | 10+ years | €58,175 |
Salary by city
- Data analyst in Munich earns 18.3% more than the national average salary.
- The same data analyst in Stuttgart earns 18.2% more than the national average.
- On the contrary, a data analyst in Bremen would earn 14% less than the national average.
- In Berlin, these professionals would earn 3.2% less than the average salary.
- In Frankfurt am Main, these professionals would earn 2.4% less than the average salary.
Data Analyst Salary in Malaysia
The average salary for a Data Analyst in Malaysia is approximately RM 44,669
Salary by experience
Now we can see the salary range by experience
| Title | Experience | Pay |
| Entry-level (Fresher) | 0-1 year | RM 37,353 |
| Early career | 1-4 years | RM 44,625 |
| Mid-career | 5-9 years | RM 64,464 |
| Experienced | 10+ years | RM 80,400 |
Data Analyst Salary in Switzerland
The average salary for a Data Analyst in Malaysia is approximately 91,000 Fr.
Salary by experience
| Title | Experience | Pay |
| Entry-level (Fresher) | 0-1 year | 61,042 Fr |
| Early career | 1-4 years | 87,270 Fr |
| Mid-career | 5-9 years | 101,736 Fr |
| Experienced | 10+ years | 101,470 Fr |
Conclusion
I hope this blog will help you to understand what data analytics is and also give you a glimpse of salaries in different countries and in different cities. The salary or the figure which are provided above are just the average figures of the reported salaries.
So you may get a better salary even at the start of your career. But in order to get that you should have skills or you should be able to enhance your skill frequently. So to become a professional data analyst, you can join our master training course on data analytics. It is beginner-friendly so you can start learning even if don’t know anything about it.