Data Analyst Salary Entry Level:- It’s evident that there is a growing need for data analysts. The US Bureau of Labour Statistics projects a 23% increase in these positions over the next several years. However, it’s unclear how much money data analysts could anticipate making, particularly in their early careers. It’s not always obvious why some entry-level data analysts make twice as much as others when seen from the outside.
Bewildered? If so, you’re in the proper location. We’ll go over every aspect of what determines an entry-level data analyst’s pay below so you can select a career path that aligns with your objectives and wage range.
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What is the Average Salary of an Entry-Level Data Analyst?
There is a great demand for and high pay for data analyst professions; many entry-level analysts make more than six figures. However, these pay scales might differ significantly according on the position, sector, and region. Let’s dissect each of those elements.
Entry-level data analyst salary based on location
The strong worldwide currency of data analytics is one of the main reasons why so many people decide to pursue training in the field.
Companies and organizations all across the world are looking for qualified analysts who can give them reliable, data-driven insights as big data grows in importance. Additionally, data analytics positions frequently allow for remote work, which makes them somewhat of a traveler’s ideal job.
We’ve included entry-level data analytics salaries for many nations in this area. This time, SalaryExpert provided the data. Remember that SalaryExpert offers estimates that are higher than average. The approximate spread is often accurate, even though actual salaries may naturally differ depending on the particular employment. So let’s examine this:
- Germany: $70,980 (65.110 €)
- United States: $73,820
- Australia: $91,460 ($140,541)
- United Kingdom: $44,970(£55,959)
- New Zealand: $53,830 (NZD 86,451)
- United Arab Emirates: $53,460 (196,360 AED)
- South Africa: $21,433 (R393,521)
- India: $19,701 (16,24,419INR)
It is important to investigate salary disparities across various job titles if you intend to move. Not to add to the confusion, but not every person who works with data can call themselves a data analyst! This is what the next section will address.
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Entry-level data analyst salary based on job title
Data analytics expertise is evolving into new business domains as a result of the digital economy, which means that it is increasingly essential to a wide range of professional functions.
For you, what does this mean? In summary, data analytics is increasingly becoming a fundamental talent rather than a separate career role, even though the title “data analyst” is still frequently used on job sites.
Here, we’ll contrast the starting pay ranges for several positions requiring expertise in data analytics. Although it’s not a comprehensive list, it ought to give you an idea of the variations.
These salaries differ greatly because they necessitate specialized knowledge and abilities in a particular industry or field of business. Thus, try to keep this in mind while you’re looking for work; even if you’re brand-new to the field of data analytics, any prior industry expertise you have should boost your earning potential for positions as a data analyst.
Payscale provided the following information:
- Entry-level healthcare consultant salary: $71,706
- Entry-level business intelligence (BI) analyst salary: $63,032
- Entry-level marketing analyst salary: $55,791
- Entry-level systems analyst salary: $59,522
- Entry-level data engineer salary: $78,387
- Entry-level operations analyst salary: $56,515
- Entry-level machine learning engineer salary: $96,953
As we can see, there is quite a bit of spread. It’s also important to note that positions labeled as “entry-level” typically indicate that the candidate is new to the position but has held a data-related post in the past; this is why these positions pay more! Examples of these positions include data or machine learning engineering.
Average data analyst salary based on experience
All levels of data analyst salaries are commensurate with the particular abilities and aptitudes needed for the positions. The majority of data analytics entry-level positions have competitive starting salaries.
Payscale provides a decent representation of the average projected pay for data analysts, providing an example of what an analyst with that level of expertise may typically anticipate making.
Data analyst salary based on experience in the U.S.
- Early career (1-4 years experience): $65,400
- Mid-career (5-9 years experience): $73,424
- Experienced (10-20 years experience): $74,329
- Late career (20+ years experience): $77,085
Based on experience in Germany
- Entry level (<1 years experience): €43,152
- Early career (1-4 years experience): €48,471
- Mid-career (5-9 years experience): €56,832
- Late career (20+ years experience): €58,000
Based on experience in Australia
- Entry level (<1 years experience): AUD$65,000
- Early career (1-4 years experience): AUD$72,000
- Mid-career (5-9 years experience): AUD$89,000
- Experienced (10-20 years experience): AUD$99,000
Data analyst salary based on experience in New Zealand
- Entry level (<1 years experience): NZ$58,000
- Early career (1-4 years experience): NZ$63,000
- Mid-career (5-9 years experience): NZ$73,000
- Late career (20+ years experience): NZ$76,000
Based on experience in the United Kingdom
- Entry level (<1 years experience): £25,000
- Early career (1-4 years experience): £29,000
- Mid-career (5-9 years experience): £33,000
- Experienced (10-20 years experience): £35,000
- Late career (20+ years experience): £37,000
Based on experience in India
- Entry level (<1 years experience): ₹400,000
- Early career (1-4 years experience): ₹489,000
- Mid-career (5-9 years experience): ₹764,000
- Experienced (10-20 years experience): ₹1,017,000
- Late career (20+ years experience): ₹1,500,000
It’s critical to recognize that there is some wiggle room in data analyst pay; those with more specialized skill sets or a deeper comprehension of programming languages may see a pay increase.
Payscale states that employees with Tableau working experience should expect to make 8% more than those without. Similarly, proficiency in the computer language SQL can lead to a 5% increase in pay.
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Entry-level data analyst salary based on industry/company
Lastly, your earning potential will depend on the organization and sector of the market you operate in.
One of the great things about working as a data analyst is that you can find positions in nearly every industry. The majority of businesses rely on their data to make decisions, and to do this, they will require a data analyst.
In this area, we’ve compiled a list of entry-level salaries from a few well-known companies in big tech and accounting, the two industries where data analysts are now in high demand.
Entry-level data analyst salaries in big tech
Big Tech employs a lot of data analysts.
An entry-level data analyst in any of the following companies will typically work on dashboard creation to visualize the complex streams of data that these online corporations continuously gather.
They will also work on developing data storage and enhancing goods and services.
- Amazon: $63,938
- Apple: $76,841
- Google: $108,992
- Microsoft: $65,000
Entry-level data analyst salaries in finance and accounting
Anybody hoping to start a career in data analytics and earn a respectable income can’t go wrong by applying to one of the “big four” accounting firms.
Accounting data analysts use their expertise in risk management and find ways to streamline operations and increase productivity. They’re also an excellent starting point should you decide to change course later in your career.
- EY (Ernst and Young): $55,000
- KPMG: $62,250
- Deloitte: $64,685
- PwC (PricewaterhouseCoopers): $63,658
How to Increase the Pay of an Entry-Level Data Analyst
The following are some of the greatest strategies to increase the pay for entry-level data analysts:
- Choose the Right Industry
- Develop and Polish Your Skills
- Negotiation Is Key
- Ask for a Salary Review
- Gain More Experience
Choose the Right Industry
As you’ve seen, depending on the field you work in, entry-level compensation for data analysts can differ. It’s crucial to take into account your interests and skills in addition to pay. Selecting a field of work in which you may advance your career is crucial. You can make the greatest choice regarding the entry-level data analyst jobs you will apply for by matching your hobbies with the pay you are searching for.
Develop and Polish Your Skills
A proficient data analyst possesses the ability to transform data into meaningful insights. You must possess more than just the fundamental programming and data visualization abilities needed for the basic data analyst job description to accomplish this.
Specialization is one technique to guarantee the proper development of your skills. One excellent strategy to maximize your interests and experience is to specialize and take a deep dive into particular areas of the analytics industry. Your experience can set you apart as a data analyst and bring you a special perspective on the topic of data analytics, regardless of whether you have a background in science, writing, or academics.
Negotiation Is Key
Spend some time studying the best ways to negotiate, and then walk into job offers with the assurance that you can get the pay you deserve. You can estimate how much your employment offers and how much you should anticipate negotiating for based on your understanding of the average remuneration for a person with your skills. Additionally, if you have a career mentor, now is a perfect time to speak with them.
Ask For a Salary Review
In the context of data analytics, requesting a pay review is standard procedure. You can demonstrate that your role’s compensation may not be commensurate with the industry average for entry-level data analyst salaries by asking a manager or supervisor to examine your pay.
Gain More Experience
In the field of analytics, experience is not hard to come by. There are lots of courses, certification programs, and data analysis projects you may take to advance your knowledge and raise your starting pay. The secret is to keep evolving.
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FAQs
Q.) Is It Stressful to Work as a Data Analyst?
Ans. That’s possible. Whether or not a career as a data analyst is stressful depends on whether or not you thrive in that type of setting. Data analysts have clear data points and results to demonstrate their skills.
Q.) Can Someone Without a Degree Work as a Data Analyst?
Ans. Indeed! Without a degree, it is highly feasible to work as a data analyst. Consider enrolling in a data analytics boot camp if you lack a degree to acquire the essential information and abilities. To get a job as a data analyst, combine this with your experience, portfolio, and soft skills.
Q.) Does Coding Needed for Data Analytics?
Ans. Proficiency in Python, R, and SQL can significantly increase your chances of securing a job in data analytics. Employers will look for several essential talents in applicants. The main skills that you should possess while looking for a data analyst career are a working knowledge of Excel, a basic understanding of these three programming languages, and an understanding of several important ideas in mathematics.
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