Data Analytics Jobs in Brazil: Opportunities, Salaries, and How to Land One

Why data analytics jobs are booming in Brazil

Brazilian businesses are increasingly data-driven: e-commerce growth, fintech innovation, and digital transformation across healthcare and retail have created sustained demand for analytics talent. Local startups and global firms alike need people who can analyze customer behavior, optimize operations, and build predictive models. Government and academic initiatives to promote data science education are also expanding the talent pool, while investments in cloud and BI platforms make analytics projects more scalable and visible to leadership. This combination of market need and infrastructure investment explains why more roles—ranging from junior data analyst to senior data scientist and ML engineer—are opening every year.

Top skills, tools, and qualifications employers seek

Employers hiring for data analytics jobs in Brazil typically look for a mix of technical and business skills. Core technical requirements include SQL, Python or R, data visualization tools like Tableau or Power BI, and familiarity with cloud platforms (AWS, GCP, or Azure). Knowledge of statistics, A/B testing, and machine learning fundamentals boosts your profile for advanced roles. Soft skills such as communication, problem framing, and domain knowledge (finance, retail, healthcare) are equally important because analysts must translate data into actionable recommendations. Certifications and bootcamps—Google Data Analytics, AWS data certifications, or specialized courses in Python and SQL—can help candidates stand out, especially when combined with a strong portfolio of projects or case studies.

Where to find jobs and how to stand out (São Paulo focus)

São Paulo is Brazil’s largest tech hub and a focal point for data analytics hiring, but opportunities exist across the country and remotely. Top channels to find openings include LinkedIn, Glassdoor, local sites like Vagas.com.br, and specialized communities on GitHub and Kaggle. To stand out, tailor your resume to highlight measurable outcomes (e.g., increased conversion by X% via a recommendation model), maintain an up-to-date portfolio or GitHub with notebooks and dashboards, and network at local meetups or virtual events. For international or remote roles, emphasize English proficiency and experience with distributed teams. Salary expectations vary by city and experience—entry-level analysts often start lower, while senior data scientists and engineers command significantly higher salaries, especially in São Paulo where demand and compensation tend to be strongest.