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Data Analyst Salary: Average Salary Revealed

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data analyst salary

How much can a Data Analyst earn, and how can you train to pursue this profession? The salary of a Data Analyst can vary depending on several factors, such as the country, industry, and professional experience. Discover everything you need to know in this article about data analyst salary

What does a Data Analyst do?

Data Analysts now play a crucial role in many companies. Executives rely on their analyses to make critical decisions. Additionally, analysts provide valuable insights to developers or engineers to support them.

The question to ask is: does the Data Analyst salary match their role within the organization? We will answer this question in detail.

First and foremost, it’s important to distinguish between Data Analysts, Data Scientists, and Data Engineers. These professions are often mistakenly confused due to their similarities.

Indeed, the Data Analyst uses the same tools as the Data Scientist to analyze data and deliver reports and visualizations to their organization’s teams.

However, in general, the Data Scientist has more responsibilities and possesses superior Machine Learning skills. That’s why their compensation is higher.

What is the average Data Analyst salary in France and abroad?

According to our own salary survey in Data Science, conducted with thirty CAC40 companies, it reaches €41,309 per year for a beginner and €51,547 after three years of experience. The range extends from €35,000 to €60,000 per year.

In the United States, compensation increases significantly. On average, a Data Analyst earns $78,676 per year according to Burning Glass, $75,022 according to Indeed, and $61,122 according to PayScale.

In the United Kingdom, a Data Analyst can earn between £20,000 and £41,000 according to PayScale, and from £38,000 to £78,000 according to CWJobs. In Germany, just like in France, PayScale estimates that the annual salary ranges from €35,000 to €60,000 per year.

What skills will boost a Data Analyst salary?

The Data Analyst salary typically increases with experience. According to PayScale, an additional 10 years of experience can lead to an annual salary increase of $20,000 in the United States.

Similarly, 10 to 20 years of experience result in a salary increase of up to $30,000. Finally, over 20 years of experience lead to a growth of $55,000.

Besides experience, certain skills can also boost compensation. According to a survey conducted by O’Reilly, mastering Spark and Scala can result in a $15,000 salary increase. Similarly, proficiency in D3 can further increase one’s pay by $15,000.

Among other highly valued skills, we can mention MapReduce, Apache Hive, Apache Hadoop, as well as Machine Learning and Cloud service platforms like Amazon Web Services or Microsoft Azure.

Which Data Analyst specialisation offers the best Data Analyst Salary?

There are different specializations within Data Analysis. A ‘Business Analyst,’ who uses tools like Excel, Tableau, and SQL to transform data into actionable insights, can earn between $54,700 and $69,000.

A financial analyst can earn between $52,700 and $66,000, according to the Robert Half Salary Guide 2017. Market analysts, on the other hand, can make between $51,000 and $65,000.

In the healthcare sector, according to PayScale, a data analyst can receive between $46,000 and $80,000 for helping hospitals and other institutions optimize their operations through data. Consultants in this field can earn between $58,000 and $112,000.”

What factors influence a Data Analyst's salary?

A senior data analyst typically earns an average gross salary of €7,000 per month in the technology sector. In other industries, this amount may be slightly different.

Generally, a senior data analyst can expect significantly higher compensation than a junior data analyst, who earns an average gross salary of €3,000 per month.

The annual gross salary of a data analyst can vary based on numerous factors, such as experience, skills, industry, and geographical region. However, this amount can vary considerably depending on each individual’s personal circumstances.

In which industry is the Data Analyst salary the highest?

Data Analysts are in demand across all industries. However, they are in higher demand in certain sectors, which makes salaries more attractive.

Data Analysts can expect the highest compensation in the fields of finance, manufacturing, Software as a Service (SaaS) companies, and healthcare.

How do I take a Data Analyst course?

According to Burning Glass, the number of Data Analyst positions is expected to increase by 14.3% annually over the next ten years. Data analysts are in high demand, and it takes an average of 34 days for a company to find a qualified candidate.

As a result, undergoing Data Analyst training makes it easy to find employment and enjoy a high salary. Even if you are already in this profession, acquiring new, highly sought-after skills offers the opportunity to increase your earnings.

To develop your skills and join the elite group of data analysts, you can choose the Data Analyst training offered by DataScientest.

This training teaches you how to identify problems, analyze data using spreadsheets or SQL, and create reports, dashboards, or visualizations.

The program is divided into several modules: programming, Machine Learning, databases and Big Data, Dataviz, text data extraction and management, and Business Intelligence. Through this program, you will learn to use various data analysis tools like Python, SQL, Matplotlib, Seaborn, or Power BI.

This training is accessible from a Bachelor’s degree level.

Upon completion of the program, learners receive a diploma certified by the University of Sorbonne. Among the alumni, 93% find employment immediately after graduation.

Like all our training programs, this Data Analyst training adopts an innovative Blended Learning approach, combining online coaching platforms and in-person Masterclasses. It can be completed in six months in Continuing Education at a pace of 10 hours per week or in a nine-week BootCamp at a pace of 35 hours per week.

When it comes to funding, our Data Science training programs are recognized by the State and eligible for CPF (Compte Personnel de Formation) funding in France.

In Spain, individuals can explore funding options through Fundae, Pledg, and Quotanda, while in Germany, there’s the option of Bildungsgutschein.

Additionally, Pôle Emploi, the French public employment agency, can provide funding through AIF (Aide Individuelle à la Formation). Don’t wait any longer; discover our Data Analyst program today.

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