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2,853

Data Scientist jobs in Brazil

Data Analyst

Pride Global

Lagoa Santa
Remote
BRL 331,000 - 442,000
Yesterday
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Engenheiro De Dados Iii

Dataex

Teresina
On-site
BRL 20,000 - 80,000
Yesterday
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Analista De Ti / Infraestrutura

Grupo Cometa

Cáceres
On-site
BRL 20,000 - 80,000
Yesterday
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Analista De Dados, Processos E Orçamento De Saúde Pl

Rumo Logística

Itu
Hybrid
BRL 80,000 - 120,000
Yesterday
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Data Analyst

Pride Global

Luís Eduardo Magalhães
Remote
BRL 80,000 - 120,000
Yesterday
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Engenheiro De Dados Pleno

Atos

Cabo Frio
Remote
BRL 20,000 - 80,000
Yesterday
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Data Analyst

Net2Source (N2S)

Agudos
On-site
BRL 120,000 - 160,000
Yesterday
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Engenheiro De Dados Pleno

Atos

Nova Iguaçu
Remote
BRL 20,000 - 80,000
Yesterday
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Data Analyst

Pride Global

Marília
Remote
BRL 386,000 - 497,000
Yesterday
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Data Analyst

Net2Source (N2S)

Porto Velho
On-site
BRL 120,000 - 160,000
Yesterday
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Engenheiro(A) De Dados Pl/Sr

Foursys

Arapongas
Remote
BRL 20,000 - 80,000
Yesterday
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Engenheiro(A) De Dados Pl/Sr

Foursys

Ipojuca
Remote
BRL 20,000 - 80,000
Yesterday
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Engenheiro(A) De Dados Pl/Sr

Foursys

Brazil
Remote
BRL 20,000 - 80,000
Yesterday
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Data Analyst

Net2Source (N2S)

Navegantes
On-site
BRL 120,000 - 160,000
Yesterday
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Data Analyst

Net2Source (N2S)

Campina Grande do Sul
On-site
BRL 120,000 - 160,000
Yesterday
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Engenheiro De Dados Pleno

Atos

Itatiba
Remote
BRL 20,000 - 80,000
Yesterday
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Engenheiro De Dados Pleno

Atos

Lages
Remote
BRL 20,000 - 80,000
Yesterday
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Engenheiro(A) De Dados Pl/Sr

Foursys

Bauru
Remote
BRL 20,000 - 80,000
Yesterday
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Engenheiro De Dados Pleno

Atos

Rio das Ostras
Remote
BRL 20,000 - 80,000
Yesterday
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Engenheiro(A) De Dados Pl/Sr

Foursys

Guaramirim
Remote
BRL 20,000 - 80,000
Yesterday
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Engenheiro De Dados Pleno

Atos

Vitória
Remote
BRL 20,000 - 80,000
Yesterday
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Engenheiro De Dados Pleno

Atos

Itajaí
Remote
BRL 20,000 - 80,000
Yesterday
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Engenheiro de Dados III

DataEX

Cachoeirinha
On-site
BRL 20,000 - 80,000
Yesterday
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Engenheiro(A) De Dados Pl/Sr

Foursys

Lavras
Remote
BRL 20,000 - 80,000
Yesterday
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Engenheiro De Dados Pleno

Atos

Lagoa Santa
Remote
BRL 20,000 - 80,000
Yesterday
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Top job titles:

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Top companies:

Jobs at BradescoJobs at LiderJobs at UnileverJobs at Casa E VideoJobs at Grupo BoticarioJobs at Via VarejoJobs at Dia SupermercadoJobs at Freitas VarejoJobs at Postal SaudeJobs at Telemont

Top cities:

Jobs in Sao PauloJobs in Rio De JaneiroJobs in BrasiliaJobs in SalvadorJobs in Belo HorizonteJobs in FortalezaJobs in CuritibaJobs in Porto AlegreJobs in CampinasJobs in Campo Grande
Data Analyst
Pride Global
Remote
BRL 331,000 - 442,000
Full time
Yesterday
Be an early applicant

Job summary

A leading data solutions provider is seeking a Data Analytics & Engineering Specialist for a remote position based in Brazil. The role involves bridging analytics and engineering, designing and maintaining data pipelines, and driving the BI vision across business lines. Ideal candidates will have 2+ years in analytics/data engineering, SQL proficiency, and experience with big data technologies. A Bachelor's degree in a STEM field is preferred.

Qualifications

  • 2+ years of experience in analytics and data engineering.
  • 1+ year of hands-on experience with big data processing systems.
  • Proven ability to lead strategic projects involving methodology development.

Responsibilities

  • Rationalize and prioritize data requests for scalable solutions.
  • Execute new data flows and maintain existing pipelines.
  • Drive the vision for Business Intelligence and Data Warehousing.

Skills

Analytical problem solving
SQL proficiency
Data engineering
Big data processing

Education

Bachelor’s degree in STEM (Engineering, Computer Science, Mathematics)

Tools

Hadoop
Spark
Tableau
Python
Job description

We're looking for a Data Analytics & Engineering Specialist in Brazil!!

Location: Remote (Brazil)

Employment Type: PJ - Open Ended

About the Role

We are looking for a gritty problem solver and self-starter who will serve as a key interface between the Analytics and Engineering teams. In this role, you will deeply understand the needs of analytics stakeholders, anticipate future requirements, and partner closely with Data Engineers to identify, vet, and prioritize upstream data. Your mission is to enable strong analytical capabilities, drive operational excellence, and improve efficiency across data partnerships.

What You’ll Do
  • Rationalize and prioritize data requests, designing ideal and scalable solutions.
  • Execute new data flows and maintain existing pipelines on a daily basis.
  • Design, develop, and maintain robust, efficient data pipelines that support multiple use cases with minimal incremental effort.
  • Drive the vision for Business Intelligence (BI) and Data Warehousing across all business lines, defining and executing a roadmap to achieve that vision.
  • Evolve analytical data ecosystems to support advanced analytics and big data use cases.
Minimum Qualifications
  • 2+ years of experience in analytics and data engineering.
  • 1+ year of hands-on experience with big data processing systems such as Hadoop, Hive, Spark, or similar technologies.
  • Expert-level proficiency in SQL.
  • Proven ability to design and lead time-sensitive, strategic projects involving methodology development, analysis, and presentation of insights and recommendations.
Preferred Qualifications
  • Degree in a STEM field (Engineering, Computer Science, Mathematics, or related area).
  • Experience with BI and data visualization tools such as MicroStrategy, Tableau, Looker, or similar platforms.
  • Experience with Unix / Linux shell scripting and Python.
  • Strong database performance tuning and optimization skills.
Education
  • Bachelor’s degree in engineering, computer science, mathematics, or related field preferred.
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* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.

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