Data Analyst Job in Brazil

The need for data analysts is growing in Brazil as businesses want to use data-driven insights to make more strategic decisions. This article examines the qualifications and career chances of some Brazilian organizations that are currently hiring data analysts.

Roles and Responsibilities :

• Utilize machine learning algorithms and statistical techniques to analyze data.
• Make reports and visuals to effectively convey insights.
• Keep an eye on performance indicators and refine analytical models.
• Verify the accuracy, consistency, and legal compliance of the data.
• Work together across functional boundaries to facilitate data-driven decision-making.
• Gather and prepare data for analysis from a variety of sources.

Companies Hiring Data Analysts in Brazil

Vale

Requirements:

• Bachelor’s degree in Computer Science, Engineering, or related field
• Proficiency in data analysis tools such as Excel, Python, or R
• Strong analytical and problem-solving skills

Career Link: Careers

Banco Bradesco

Requirements:

• Bachelor’s degree in Mathematics, Statistics, or Computer Science
• Experience with data analysis and visualization tools like Tableau or Power BI
• Knowledge of SQL and database management systems

Career Link: Careers

Petrobras

Requirements:

• Master’s degree in Data Science, Statistics, or related field
• Proficiency in programming languages such as Python, R, or Scala
• Experience with big data technologies like Hadoop or Spark

Career Link: Careers

Ambev

Requirements:

• Bachelor’s degree in Economics, Mathematics, or related field
• Experience with statistical analysis tools and techniques
• Ability to work with large datasets and perform predictive modeling

Career Link: Careers

Oi Telecom

Requirements:

• Bachelor’s degree in Computer Science, Engineering, or related field
• Proficiency in data analysis tools such as Python, R, or SAS
• Experience with data visualization and reporting tools

Career Link: Careers

Braskem

Requirements:

• Bachelor’s degree in Mathematics, Statistics, or Computer Science
• Knowledge of machine learning algorithms and techniques
• Experience with data manipulation and analysis tools

Career Link: Careers

Globo

Requirements:

• Bachelor’s degree in Computer Science, Mathematics, or related field
• Proficiency in programming languages such as Python, Java, or Scala
• Experience with data analysis and visualization tools

Career Link: Careers

Telefônica Brasil (Vivo)

Requirements:

• Bachelor’s degree in Statistics, Mathematics, or related field
• Experience with data mining and predictive modeling
• Strong communication skills and ability to present insights to stakeholders

Career Link: Careers

Cielo

Requirements:

• Bachelor’s degree in Computer Science, Economics, or related field
• Proficiency in statistical analysis tools such as SAS or SPSS
• Experience with data warehousing and business intelligence solutions

Career Link: Careers

IBM Brazil

Requirements:

• Bachelor’s degree in Computer Science, Statistics, Mathematics, or related field
• Proficiency in programming languages such as Python, R, or SQL
• Strong analytical and problem-solving skills

Career Link: Careers

Nubank

Requirements:

• Experience with data manipulation and analysis tools like Excel, Tableau, or Power BI
• Knowledge of statistical methods and machine learning techniques
• Ability to communicate complex findings to non-technical stakeholders

Career Link: Careers

Itaú Unibanco

Requirements:

• Master’s degree in Data Science, Statistics, or related field
• Proficiency in data mining and data visualization techniques
• Experience with big data technologies like Hadoop or Spark

Career Link: Itaú Unibanco Jobs

Accenture Brazil

Requirements:

• Strong analytical and quantitative skills
• Experience with data analysis and visualization tools such as Tableau or Power BI
• Ability to work effectively in a team environment

Career Link: Careers

Amazon Brazil

Requirements:

• Bachelor’s degree in Computer Science, Mathematics, or related field
• Proficiency in programming languages such as Python or Java
• Experience with data querying languages like SQL

Career Link: Careers

MercadoLibre Brazil

Requirements:

• Knowledge of statistical analysis tools like R or SAS
• Experience with data warehousing and business intelligence platforms
• Strong problem-solving skills and attention to detail

Career Link: Careers

Job Portals

• LinkedIn
• Glassdoor
• Indeed

Salary of a Data Analysts in Brazil

The salary of a data analyst in Brazil varies depending on factors such as experience, location, and industry. On average, a data analyst can expect to earn between BRL 4,000 to BRL 10,000 per month. However, salaries can exceed this range for experienced professionals in high-demand industries or specialized roles.

Experience Wise Salary Trend

• Entry-level (0-2 years of experience): R$50,000 – R$70,000 per year
• Mid-level (3-5 years of experience): R$70,000 – R$90,000 per year
• Senior-level (5+ years of experience): R$90,000 – R$120,000+ per year

Data Analyst Job in Brazil – FAQs

What skills are essential for a data analyst role?

For a data analyst position, proficiency in computer languages and data analysis tools is essential. Large datasets are frequently worked with by data analysts, who must efficiently extract, clean, and analyze data using programs like SQL, Python, R, or Excel. In order to extract relevant insights from complicated data sets, data analysts must possess strong analytical and problem-solving skills.

Is a degree in data science necessary for a data analyst position?

For a data analyst employment, a degree in data science or a similar discipline can be helpful, but it is not usually required. Data analyst positions might also benefit from those with backgrounds in economics, statistics, computer science, or mathematics.

How can I improve my chances of getting hired as a data analyst?

People can increase their chances of being hired as data analysts by gaining real-world experience through side projects or internships. Candidates can exhibit their abilities and their capacity to work with real-world data by demonstrating their capabilities through practical experience. Additionally, staying updated on industry trends and advancements in data analytics is important to remain competitive in the job market.