Ciandt

At CI&amp;T, we help large enterprises transform the potential of AI into real business impact with AI Deployment, AI-native execution, and tech-integrated business solutions.
With 30 years of experience in technological transformation, we accelerate innovation with expertise in Agentic SDLC, Application modernization, Data &amp; AI, Martech and Business strategy.
We are 8,000 CI&amp;Ters across more than 25 countries, collaborating to build solutions with real impact. AI is already part of how we work, evolve, and innovate every day.<div> </div><div>==&gt; Remote position</div>
<div>==&gt; Advanced English </div>
<div> </div>
<div>
<h3>About the Role</h3>
CI&amp;T is looking for a Data Analyst to join our team and help transform data into actionable insights that support business decisions. In this role, you will work closely with cross-functional teams, analyzing data, building dashboards, ensuring data quality, and delivering meaningful recommendations that drive business value.
<h3>Responsibilities</h3>
<ul>
<li>
Perform exploratory data analysis (EDA) to identify trends, patterns, and opportunities.
</li>
<li>
Develop and maintain interactive dashboards and reports, primarily using Power BI.
</li>
<li>
Create clear data visualizations and present insights to business stakeholders.
</li>
<li>
Ensure data quality through validation, cleansing, and integrity checks.
</li>
<li>
Collaborate with business, engineering, and data teams to understand requirements and deliver data-driven solutions.
</li>
<li>
Document analytical processes, methodologies, and data assets, including data dictionaries and catalogs.
</li>
</ul>
<h3>Required Qualifications</h3>
<ul>
<li>
Experience as a Data Analyst or in a similar analytics role.
</li>
<li>
Strong knowledge of SQL and Python for data analysis and manipulation.
</li>
<li>
Experience building dashboards and reports using Power BI.
</li>
<li>
Knowledge of other BI tools such as Tableau or Amazon QuickSight is a plus.
</li>
<li>
Experience with data cleansing, transformation, and integration.
</li>
<li>
Understanding of databases, data warehousing, and data modeling concepts.
</li>
<li>
Strong analytical thinking, problem-solving skills, and attention to detail.
</li>
<li>
Excellent communication skills, with the ability to present technical findings to non-technical audiences
</li>
<li>English communication skills</li>
<li>
Nice to Have: 
<ul>
<li>Experience with statistical analysis techniques.</li>
<li>Familiarity with data modeling best practices.</li>
</ul>
<div> </div>
<div> </div>
Why Join CI&amp;T?
 
</li>
</ul>
You'll work on impactful data initiatives, collaborating with multidisciplinary teams to transform data into strategic insights that support business growth and decision-making in a collaborative and innovative environment.
 
 
#LI-LL1
</div>

[Job-30038] MidLevel Data Analyst, Brazil

At CI&amp;T, we help large enterprises transform the potential of AI into real business impact with AI Deployment, AI-native execution, and tech-integrated business solutions.
With 30 years of experience in technological transformation, we accelerate innovation with expertise in Agentic SDLC, Application modernization, Data &amp; AI, Martech and Business strategy.
We are 8,000 CI&amp;Ters across more than 25 countries, collaborating to build solutions with real impact. AI is already part of how we work, evolve, and innovate every day.<div> </div><div>
We are seeking a highly motivated Senior Data Developer (Analytics Engineer) who serves as a bridge between business and technology — someone who not only masters the technical stack but also brings strategic vision, deep understanding of business logic, and a proactive approach to solution design.
This professional will own the complete lifecycle of data products — from ingestion and modeling through final delivery — ensuring that data is structured, validated, and ready for consumption in AI and analytics environments. We need someone who communicates confidently with business stakeholders (both technical and non-technical), deeply understands the requirements behind requests, and translates them into robust, scalable technical solutions.
 
<hr />
 
<h3>Responsibilities:</h3>
<ul>
<li>
Business Translation &amp; Requirements Definition: Actively engage with business stakeholders to understand context, challenges, and underlying needs; translate complex requirements into clear, detailed technical specifications that enable effective use of AI and analytics platforms.
</li>
<li>
End-to-End Product Ownership: Take full responsibility for the data products you build — from ingestion through modeling, transformation, validation, to final delivery and ongoing monitoring.
</li>
<li>
Data Quality Assurance &amp; Validation: Implement and maintain rigorous validation processes, automated testing, and quality checks; act as guardian of data accuracy and integrity, ensuring metrics and KPIs accurately reflect business reality.
</li>
<li>
Data Modeling &amp; Transformation: Design and implement data transformation layers that pre-aggregate business information, apply consistent business rules, and deliver datasets ready for consumption in dashboards and AI applications.
</li>
<li>
AI Enablement &amp; Data Structuring: Collaborate with AI teams to specify and prepare structured data, data dictionaries, and models that enable AI platforms and intelligent reporting capabilities.
</li>
<li>
Full-Stack Data Development: Build and maintain data ingestion pipelines from multiple sources, implement transformations in SQL and Python, and ensure performance and scalability of solutions.
</li>
<li>
Proactive Problem Solving: Go beyond fulfilling requirements — proactively identify improvement opportunities, anticipate internal customer needs, propose innovative solutions, and challenge approaches when necessary.
</li>
<li>
Agile &amp; High-Quality Delivery: Deliver reliable data solutions with speed and precision, balancing the need for rapid iteration with the highest quality standards.
</li>
<li>
Stakeholder Communication: Articulate technical concepts clearly to non-technical audiences; facilitate alignments, present solution proposals, and document modeling and architecture decisions.
</li>
</ul>
 
<hr />
 
<h3>Requirements:</h3>
<ul>
<li>
Proven experience in a Data Engineering or Analytics Engineering role at senior level
</li>
<li>
Advanced proficiency in SQL and Python for data analysis, transformation, and validation
</li>
<li>
Solid experience in data modeling and data warehouse design
</li>
<li>
Hands-on experience working with BigQuery (or other cloud-based data warehouse platform)
</li>
<li>
Demonstrated ability to understand complex business logic and validate results from a business perspective, not just technical
</li>
<li>
Strong sense of ownership and proactive mindset — a professional who proposes improvements, challenges requirements when necessary, and doesn't wait to be asked to act
</li>
<li>
Experience specifying and preparing data requirements for AI or machine learning applications
</li>
<li>
Advanced/fluent English (reading, writing, and conversation) — constant communication with international stakeholders is required
</li>
<li>
Track record of delivering high-impact projects quickly and with quality
</li>
</ul>
 
<hr />
 
<h3>Nice to Have:</h3>
<ul>
<li>
Experience with dbt (data build tool) for transformation and orchestration of analytical pipelines
</li>
<li>
Familiarity with data ingestion tools such as Airbyte or Airflow
</li>
<li>
Knowledge of automated testing best practices and CI/CD for data pipelines
</li>
<li>
Prior experience in Supply Chain, Retail, or Consumer Goods industries
</li>
<li>
Experience in projects involving data preparation for consumption via generative AI or conversational analytics platforms
</li>
<li>
Experience building business-oriented analytical reports (web reporting, custom visualizations) #LI-JP3
</li>
</ul>
</div>

[Job - 30340] Senior Data Developer (Analytics Engineer), Colombia

At CI&amp;T, we help large enterprises transform the potential of AI into real business impact with AI Deployment, AI-native execution, and tech-integrated business solutions.
With 30 years of experience in technological transformation, we accelerate innovation with expertise in Agentic SDLC, Application modernization, Data &amp; AI, Martech and Business strategy.
We are 8,000 CI&amp;Ters across more than 25 countries, collaborating to build solutions with real impact. AI is already part of how we work, evolve, and innovate every day.<div> </div><div>
<h2>Senior Data Developer (Analytics Engineer)</h2>
We are seeking a highly motivated Senior Data Developer (Analytics Engineer) who serves as a bridge between business and technology — someone who not only masters the technical stack but also brings strategic vision, deep understanding of business logic, and a proactive approach to solution design.
This professional will own the complete lifecycle of data products — from ingestion and modeling through final delivery — ensuring that data is structured, validated, and ready for consumption in AI and analytics environments. We need someone who communicates confidently with business stakeholders (both technical and non-technical), deeply understands the requirements behind requests, and translates them into robust, scalable technical solutions.
 
<hr />
 
<h3>Responsibilities:</h3>
<ul>
<li>
Business Translation &amp; Requirements Definition: Actively engage with business stakeholders to understand context, challenges, and underlying needs; translate complex requirements into clear, detailed technical specifications that enable effective use of AI and analytics platforms.
</li>
<li>
End-to-End Product Ownership: Take full responsibility for the data products you build — from ingestion through modeling, transformation, validation, to final delivery and ongoing monitoring.
</li>
<li>
Data Quality Assurance &amp; Validation: Implement and maintain rigorous validation processes, automated testing, and quality checks; act as guardian of data accuracy and integrity, ensuring metrics and KPIs accurately reflect business reality.
</li>
<li>
Data Modeling &amp; Transformation: Design and implement data transformation layers that pre-aggregate business information, apply consistent business rules, and deliver datasets ready for consumption in dashboards and AI applications.
</li>
<li>
AI Enablement &amp; Data Structuring: Collaborate with AI teams to specify and prepare structured data, data dictionaries, and models that enable AI platforms and intelligent reporting capabilities.
</li>
<li>
Full-Stack Data Development: Build and maintain data ingestion pipelines from multiple sources, implement transformations in SQL and Python, and ensure performance and scalability of solutions.
</li>
<li>
Proactive Problem Solving: Go beyond fulfilling requirements — proactively identify improvement opportunities, anticipate internal customer needs, propose innovative solutions, and challenge approaches when necessary.
</li>
<li>
Agile &amp; High-Quality Delivery: Deliver reliable data solutions with speed and precision, balancing the need for rapid iteration with the highest quality standards.
</li>
<li>
Stakeholder Communication: Articulate technical concepts clearly to non-technical audiences; facilitate alignments, present solution proposals, and document modeling and architecture decisions.
</li>
</ul>
 
<hr />
 
<h3>Requirements:</h3>
<ul>
<li>
Proven experience in a Data Engineering or Analytics Engineering role at senior level
</li>
<li>
Advanced proficiency in SQL and Python for data analysis, transformation, and validation
</li>
<li>
Solid experience in data modeling and data warehouse design
</li>
<li>
Hands-on experience working with BigQuery (or other cloud-based data warehouse platform)
</li>
<li>
Demonstrated ability to understand complex business logic and validate results from a business perspective, not just technical
</li>
<li>
Strong sense of ownership and proactive mindset — a professional who proposes improvements, challenges requirements when necessary, and doesn't wait to be asked to act
</li>
<li>
Experience specifying and preparing data requirements for AI or machine learning applications
</li>
<li>
Advanced/fluent English (reading, writing, and conversation) — constant communication with international stakeholders is required
</li>
<li>
Track record of delivering high-impact projects quickly and with quality
</li>
</ul>
 
<hr />
 
<h3>Nice to Have:</h3>
<ul>
<li>
Experience with dbt (data build tool) for transformation and orchestration of analytical pipelines
</li>
<li>
Familiarity with data ingestion tools such as Airbyte or Airflow
</li>
<li>
Knowledge of automated testing best practices and CI/CD for data pipelines
</li>
<li>
Prior experience in Supply Chain, Retail, or Consumer Goods industries
</li>
<li>
Experience in projects involving data preparation for consumption via generative AI or conversational analytics platforms
</li>
<li>
Experience building business-oriented analytical reports (web reporting, custom visualizations) #LI-JP3
</li>
</ul>
</div>

[Job - 30340] Senior Data Developer (Analytics Engineer), Brazil

<div>
Na CI&amp;T , ajudamos grandes empresas a transformar o potencial da AI em impacto real nos negócios com AI Deployment, execução AI-native e tech-integrated business solutions.
Com 30 anos de experiência em transformação tecnológica, aceleramos inovação com expertise em agentic SDLC, application modernization, Data &amp; AI, martech e business strategy. 
Somos 8.000 CI&amp;Ters em mais de 25 países, colaborando para construir soluções com impacto real. AI já faz parte da forma como trabalhamos, evoluímos e inovamos todos os dias.
</div>
<div>Importante: se você reside na Região Metropolitana de Campinas, sua presença nos escritórios da cidade será obrigatória, conforme a política de frequencia vigente.</div><div> </div><div>
Estamos em busca de um AI Data Engineer (PL/SR) para se juntar a um time de dados que opera com inteligência artificial de forma nativa. A pessoa combina sólida engenharia de dados, modelagem, camadas analíticas, governança — com o uso de IA como parte central do fluxo de trabalho, não como apoio pontual.
Missão Transformar dados brutos em produtos de dados confiáveis, documentados e reutilizáveis, garantindo uma fonte única e consistente de informação para o negócio, operando o ciclo de desenvolvimento de forma assistida por IA, com qualidade e segurança em produção.
Responsabilidades Principais - Desenvolver transformações e modelos analíticos em Azure Databricks, ADF, Fabric e Power BI. - Construir e manter camadas analíticas (Bronze, Silver, Gold) e Modelos Semânticos orientados ao negócio. - Traduzir regras de negócio em modelos de dados escaláveis; definir, documentar e padronizar métricas corporativas. - Garantir qualidade, testes e observabilidade dos dados. - Apoiar a construção de datasets para Analytics e Agents. - Operar o SDLC com IA: codagen, testes, refactor e debugging assistidos. - Estruturar especificações que alimentam a IA (spec-driven development) e manter controle de qualidade sobre os outputs. - Construir e orquestrar agentes (multi-step, tool usage, planning + execution) integrados a repos, pipelines e APIs. - Promover boas práticas de modelagem, governança e documentação.
Conhecimentos Necessários — Dados - SQL avançado - Modelagem de dados, Data Warehousing / Lakehouse - Databricks e Python - Boas práticas de qualidade, governança e documentação - Versionamento / GitHub
Conhecimentos Necessários — IA &amp; SDLC - Spec-driven development (especificação como input primário da IA) - Domínio sólido de SDLC (design → build → test → deploy → operate) - Uso avançado de IA no desenvolvimento (codegen, testes, refactor, debugging) - Construção de agentes (multi-step, tool usage, planning + execution) - Criação de skills reutilizáveis e composição de capacidades - Integração via MCP (Model Context Protocol) ou equivalente - Criação de slash-commands / interfaces operacionais baseadas em prompt estruturado - Orquestração de workflows (multi-agente ou humano + agente) - Integração com ferramentas (Git, CI/CD, issue tracking, observabilidade) - Avaliação crítica de outputs de IA (qualidade, segurança, consistência)
</div>

[Job - 30169] AI Data Engineer Mid/Senior

At CI&amp;T, we help large enterprises transform the potential of AI into real business impact with AI Deployment, AI-native execution, and tech-integrated business solutions.
With 30 years of experience in technological transformation, we accelerate innovation with expertise in Agentic SDLC, Application modernization, Data &amp; AI, Martech and Business strategy.
We are 8,000 CI&amp;Ters across more than 25 countries, collaborating to build solutions with real impact. AI is already part of how we work, evolve, and innovate every day.<div> </div><div>
<div>Olá, aqui é a Bia da CI&amp;T!</div>
<div> </div>
<div>Sou Analista de Atração de Talentos e procuro pessoas Cientista de Dados que utilizam IA e localizadas no Brasil para atuar em um dos clientes da CI&amp;T.  </div>
Principais Responsabilidades Traduzir dados de eventos digitais (web/app) em modelos de comportamento do usuário Desenvolver análises exploratórias e avançadas para identificação de padrões, jornadas e fricções Gerar insights acionáveis que influenciem decisões de produto, marketing e experiência do cliente Estruturar e conduzir hipóteses analíticas, garantindo sua validação através de testes e experimentação Projetar, desenvolver e escalar modelos de Machine Learning e IA, com foco em comportamento e personalização Implementar estratégias de experimentação (A/B testing, causal inference, uplift modeling) Trabalhar em conjunto com squads de produto, engenharia e analytics para garantir a correta instrumentação e qualidade dos dados Evoluir frameworks e metodologias de mensuração de comportamento e impacto de iniciativas Apoiar a democratização de dados, garantindo clareza e entendimento dos insights gerados</div>
<div> </div>
<div>Requisitos Técnicos Experiência sólida como Cientista de Dados (nível sênior) Forte domínio de análise de dados comportamentais digitais (eventos de front-end, tracking, jornada do usuário)</div>
<div> Experiência avançada em: Python (pandas, numpy, scikit-learn, pytorch/tensorflow) SQL (performance e modelagem analítica)</div>
<div>Machine Learning supervisionado e não supervisionado Modelos preditivos e de segmentação comportamental Séries temporais e análise de jornada Experiência com ferramentas de tracking e analytics (ex: GA, Adobe, Tealium, Snowplow, etc.) Domínio em técnicas de experimentação e inferência causal Familiaridade com ambientes de dados em cloud (AWS, GCP ou Azure)</div>
<div> Diferenciais (Altamente Relevantes) Experiência com Inteligência Artificial aplicada a comportamento do usuário Recomendação Personalização em escala Modelos preditivos de churn, conversão e engajamento Experiência com deep learning ou modelos generativos Atuação em times de produto digital ou growth Conhecimento em arquitetura de dados orientada a eventos (event-driven) Competências Comportamentais Forte pensamento analítico e crítico Capacidade de transformar dados complexos em narrativas claras e executivas Perfil investigativo, orientado à formulação de hipóteses. </div>
<div> </div>
<div>#LI-BA1</div>

Ciandt

Open jobs at Ciandt

[Job-30038] MidLevel Data Analyst, Brazil

[Job - 30340] Senior Data Developer (Analytics Engineer), Colombia

[Job - 30340] Senior Data Developer (Analytics Engineer), Brazil

[Job - 30169] AI Data Engineer Mid/Senior

[Job-30192] Senior Data Science, Brazil

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