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
- 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.