Data Analyst

• Irá auxiliar na arquitetura de banco de dados em projetos de IA;
• Irá auxiliar na implementação e manutenção de pipelines de dados para ingestão, armazenamento e processamento de grandes volumes de dados;
• Garantirá que os dados estejam disponíveis, acessíveis e prontos para serem utilizados por cientistas de dados e outras partes interessadas dentro dos projetos de IA
• Auxiliará na prototipagem e testes de modelos de IAs Generativas para resolver problemas específicos de negócios.
• Participará das análises de logs e métricas de uso dos modelos de IA para identificar falhas, comportamentos inesperados ou oportunidades de melhoria na experiência do usuário.
• Documentará os processos, metodologias e resultados dos projetos de IA de maneira clara e acessível.
• Participará no desenho de soluções de processos de negócio utilizando IA.

Analista de IA e Dados Júnior

• Projetar, implementar e evoluir arquiteturas de dados em ambiente Azure, garantindo escalabilidade, segurança e alta disponibilidade.
• Desenvolver e manter pipelines de ingestão, transformação e processamento de dados utilizando Azure Data Factory, Databricks e tecnologias correlatas.
• Atuar na implementação e evolução de práticas de DataOps e MLOps, promovendo automação, governança e eficiência operacional.
• Desenvolver soluções analíticas e modelos de dados que suportem iniciativas de Business Intelligence e Inteligência Artificial.
• Garantir a qualidade, integridade e governança dos dados, apoiando a definição de padrões e políticas corporativas.
• Otimizar processos de processamento e armazenamento de dados utilizando PySpark, Spark SQL e demais tecnologias de Big Data.
• Apoiar a construção e evolução de dashboards, indicadores e soluções analíticas utilizando Power BI.
• Trabalhar em conjunto com equipes de Tecnologia, Dados, Analytics e Negócio para apoiar decisões estratégicas baseadas em dados.
• Atuar na identificação de oportunidades de melhoria contínua dos ambientes analíticos e plataformas de dados da organização.

Analista Sênior de Dados e IA – Azure

• Build machine learning models to help forecast business trends;
• Design and optimize data pipelines and workflows that transform raw data into actionable information;
• Use generative AI tools to accelerate prototyping, analysis, and documentation;
• Build clear dashboards and reports in Power BI;
• Ensure data and processes are well documented and easy for others to understand;
• Collaborate with cross-functional teams to align technical and business requirements.

Senior Data Analyst

• Construção de pipeline de dados em Cloud e Bancos Relacionais
• Desenvolvimento e sustentação de relatórios estratégicos através de ferramentas de Data Visualization
• Interação e alinhamento entre clientes internos

Analista de Dados, Pleno

• Support exploratory and descriptive analyses of large volumes of user feedback;
• Analyze reviews related to image and video quality, camera performance and photographic experience;
• Perform manual analyses of user comments to build and validate ground-truth datasets (Ground Truth);
• Support validation of classification model quality and summaries generated by LLMs by comparing automated outputs with human evaluations;
• Identify patterns, trends and opportunities for improvement based on collected data;
• Assist in creating reports, dashboards and executive presentations;
• Contribute to automation initiatives and the application of AI in feedback-analysis processes; participate in tests and experiments involving LLMs, prompting, RAG and intelligent agents;
• Collaborate with global teams to consolidate and interpret results;
• Present analyses and results to national and international stakeholders in Portuguese and English.

Data Analysis Intern, Applied AI

• Develop and optimize complex queries using SQL Server
• Create and maintain stored procedures, functions, triggers, views and packages
• Design and model relational databases, defining table structures, indexes and relationships
• Perform query tuning and optimizations to improve performance
• Implement indexing strategies and table partitioning
• Develop PL/SQL scripts for process automation and data integration
• Implement and manage jobs and schedulers for batch data processing
• Ensure data consistency, integrity and security
• Create and maintain technical documentation for implemented structures and processes
• Monitor and troubleshoot database performance and concurrency issues
• Collaborate with development teams to ensure efficient integration between databases and applications

Database Analyst – Mid-level

• Lead the evolution of business processes, identifying improvement opportunities and proposing scalable, sustainable solutions
• Structure and detail functional requirements with a high level of clarity, supporting technical teams in building solutions
• Support the development of data-driven solutions, ensuring correct interpretation, use, and traceability of information
• Assess systemic impacts and dependencies across different platforms (CRM, ERP, Data Lake, etc.)
• Participate in the prioritization of initiatives, considering business value and technical feasibility
• Ensure alignment of deliveries with the project's functional requirements.

Senior Functional Data Analyst

• Collecting and validating marketing and communications data
• Processing and organizing data in collaboration with the Data Solutions team
• Assisting with automation processes and marketing campaign reporting
• Supporting presentations and internal and client meetings

Data Analytics Intern

• Assess and prioritize requests together with the Data Analysts team, considering complexity, effort and business impact.
• Support communication between PMs and the data team, ensuring clarity on deadlines, scope and technical feasibility.
• Guide and provide technical support to the Data Analysts team, contributing to the development of dashboards, analyses and data layers in Looqbox.
• Conduct regular 1:1s with Data Analysts to monitor technical development and performance.
• Work alongside Data Analysts and PMs on a daily basis, serving as the senior technical reference for the data team.
• Ensure that clients' objectives and needs are correctly translated into metrics, KPIs and data requirements by the team.
• Guide and review more complex exploratory and ad hoc analyses (cohorts, funnel, segmentations, performance variations, root-cause), acting directly on the most critical cases.
• Define guidelines and ensure consistency of the semantic metrics layer (definitions, business rules, dimensions) and the team's documentation.
• Establish and review data visualization standards and the quality of the team's deliverables.

Data Analytics Tech Lead

• Technical leadership: provide technical leadership for the team, overseeing control, administration, and the definition of data methods and models.
• Data management: support the management of databases, contributing to the definition of attributes, naming standards, and operational procedures.
• Projects and automation: lead the technical development of data manipulation and automation projects, focusing on insight extraction and operational efficiency.
• Security and integrity: ensure the security, integrity, and reliability of databases, maintaining compliance with policies and best practices.
• Migration and modernization: migrate existing data pipelines to new pipelines on Google Cloud Platform (GCP), ensuring scalability and performance.
• Automation and scripting: develop and maintain Python scripts to automate ETL/ELT processes.
• Cloud infrastructure: manage and monitor data infrastructure in cloud environments, using tools such as Terraform.
• Architecture and performance: design and implement scalable, high-performance data storage, processing, and analytics solutions.
• Best practices and collaboration: collaborate with the Data Engineering team to define and apply best practices in architecture, governance, and observability.
• Quality and documentation: ensure data quality, security, and integrity, and document implemented processes and solutions.

Senior Data Engineering Analyst

• Develop scalable analytical solutions using Power BI, Azure Databricks, SQL, and Python.
• Design and maintain dashboards, KPI frameworks, semantic models, and self-service analytics solutions.
• Transform data into actionable insights that support strategic business decisions.
• Apply statistical and analytical techniques to identify trends, opportunities, and business impacts.
• Perform exploratory analysis, ad hoc studies, and support experimentation initiatives.
• Partner with Product, Commercial and Technology teams to solve business problems through data.
• Ensure data quality, consistency, governance, and reliability across analytical products.
• Follow software engineering best practices, including Git-based development, version control, testing, and CI/CD processes.
• Communicate insights through effective data storytelling, visualizations, and executive presentations.

• Will take a leading role in preparing, cleaning, sanitizing and organizing data for analytical use.
• Will lead the development and maintenance of robust data pipelines using PySpark, Scala Spark and Apache NiFi.
• Will ensure consistency, governance and reliability of information through the implementation of validation techniques and data quality tools.
• Will work closely with the development team and the Product Owner.

Mid-level Data Analyst

• Responsible for supporting the development and maintenance of SQL queries for extracting, transforming, and manipulating data.
• Contribute to the preparation, cleansing, and organization of data for analytical use.
• Support the development and maintenance of data pipelines using PySpark.
• Assist in organizing and structuring data within Data Warehouse environments.
• Apply basic data quality validations to ensure information consistency and reliability.
• Collaborate with the development team and the Product Owner to understand business rules.

Junior Data Analyst

• Develop analyses of financial, operational and corporate indicators;
• Build, enhance and maintain dashboards, reports and management panels;
• Create, validate and monitor indicators (KPIs), ensuring consistency and adherence to business rules;
• Structure and monitor metrics such as EBITDA, Working Capital, Opex, Capex, Headcount, Turnover, Attrition and other strategic indicators;
• Perform SQL queries for data investigation, validation and analysis;
• Identify inconsistencies in databases, investigate root causes and propose analytical solutions;
• Partner with business areas to support decision-making through data;
• Document queries, indicators, metrics and business rules;
• Collaborate with the CRM Analyst to respond to analytical requests;
• Identify needs for database evolution and route them to Data Engineering;
• Participate in AI initiatives, predictive analyses and analytical modeling to generate insights;
• Drive continuous improvements in indicators, dashboards and analytical processes.

Mid-level Data Analyst – Finance and Operations

• Atuar na análise, modelagem e integração de dados estruturando relatórios e dashboards que apoiem a tomada de decisão gerencial.
• Contribuir para a criação de processos de automação e boas práticas em gestão de dados além de gerar analises aprofundadas que tragam insights relevantes para as áreas de negócio.
• Estruturar e automatizar processos de coleta e tratamento de dados.
• Desenvolver dashboards e relatórios utilizando boas práticas de análise visual e performance
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Analista de Dados – Pleno

• Monitor and analyze performance indicators of operational workflows.
• Develop structured analyses to support leadership strategic decisions.
• Build segmentation studies and portfolio prioritization frameworks.
• Prepare forecasts for collections, recoveries, and portfolio evolution.
• Develop executive dashboards and high-impact presentations.

Senior Data Analyst – Ombudsman

• Requirements Gathering and Documentation: Translate business needs into functional requirements for data projects, focusing on mapping business metrics and customer master data integrity rules.
• Master Data Cleansing Strategy: Diagnose the current state of databases (data cleaning) and propose conceptual solutions to improve record quality without relying on pre-existing tools at the bank.
• Bureau Mapping: Identify and evaluate external databases and market bureaus for procurement, aiming to enrich and validate customer/master data.
• Bridge between Business and IT: Collaborate with stakeholders and developers to ensure technical solutions accurately reflect business rules and established governance standards.
• Modeling and Governance: Create and maintain conceptual and logical data models, ensuring documentation of metrics and quality processes remains up to date.
• Validation and Quality: Test and validate implemented solutions to ensure metrics are accurate and that data cleansing processes operate as intended.
• Governance Gatekeeper: Act as a facilitator with the Data Governance area, applying necessary standards to ensure speed and compliance in projects.

Functional Data Analyst

• Apoiar na administração do Power BI Service (workspaces, acessos)
• Auxiliar na organização e governança de relatórios e datasets
• Monitorar uso básico da plataforma e apoiar na identificação de problemas
• Dar suporte a usuários na publicação e compartilhamento de relatórios
• Apoiar na documentação de padrões e boas práticas
• Trabalhar em conjunto com times de dados e TI

Analista de Visualização de Dados - Junior

• Plan, execute and optimize digital acquisition campaigns across major paid media channels, including Google Ads, Meta Ads, programmatic, app channels and other platforms.
• Manage and monitor media investments, ensuring optimal budget allocation and maximizing ROI, CPA, CAC and other business metrics.
• Monitor performance indicators daily, identifying optimization and growth opportunities.
• Develop in-depth analyses of results, delivering diagnoses, recommendations and action plans focused on business generation.
• Track and analyze the entire digital acquisition funnel, from traffic generation to conversion and account openings.
• Ensure the quality of digital channel measurement by validating tagging, events, conversions and integrations between platforms.
• Implement and govern tracking for web and mobile apps using tools such as Google Tag Manager and mobile measurement platforms.
• Build dashboards and management reports to monitor results and support decision-making.
• Collaborate with CRM, Product, Technology, BI and Analytics teams to identify continuous improvement opportunities across the customer journey.
• Run tests and experiments (A/B tests, audience tests, creative and bidding strategies) to continuously improve performance.

Senior Paid Media, Data Analyst

• Lead critical analyses of inventory results, identifying trends, risks, and opportunities
• Conduct in-depth root cause investigations, ensuring consistent diagnoses and effective actions
• Develop loss analyses and projections (short-, medium-, and long-term) to support strategic decisions
• Build, consolidate, and present metrics (KPIs) in management forums
• Work directly with leaders across different areas, influencing decisions and direction
• Manage engagements with regional teams and stakeholders, including mediation and conflict resolution
• Serve as the team's technical reference, supporting the development of analysts and assistants
• Structure and evolve reports, analyses, and operational monitoring models
• Identify and implement structural improvements and opportunities for efficiency gains
• Promote automation, standardization, and innovation in the use of data and processes
• Operate with a systemic view, connecting operational, financial, and strategic impacts

Data Analyst jobs in Brazil

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Analista de IA e Dados Júnior

Analista Sênior de Dados e IA – Azure

Senior Data Analyst

Analista de Dados, Pleno

Data Analysis Intern, Applied AI

Database Analyst – Mid-level

Senior Functional Data Analyst

Data Analytics Intern

Data Analytics Tech Lead

Senior Data Engineering Analyst

Senior Data Analyst

Mid-level Data Analyst

Junior Data Analyst

Mid-level Data Analyst – Finance and Operations

Analista de Dados – Pleno

Senior Data Analyst – Ombudsman

Functional Data Analyst

Analista de Visualização de Dados - Junior

Senior Paid Media, Data Analyst

Senior Data Analyst – Loss Prevention Focus