Business Intelligence Developer

• You will build metrics to quantify customer experience and analyze performance to identify opportunities and resolve issues.
• You will be responsible for the results and incentives reporting process for RC through defining targets, building and maintaining dashboards, and preparing indicator cards.

BI Analyst – Mid Level

• Develop, maintain and optimize dashboards, reports and data models using Power BI.
• Translate business requirements into scalable, decision-oriented analytical solutions.
• Build metrics, KPIs and advanced calculations using DAX.
• Perform data integration, transformation and modeling using Power Query, SQL and ETL/ELT processes.
• Ensure the quality, governance and performance of datasets, reports and refresh processes.
• Collaborate with business areas and global teams to gather requirements and define solutions.
• Participate in technical and functional meetings in an international environment.
• Document solutions and processes in English.
• Promote best practices for development, documentation and governance in Power BI.

Data Analyst, Power BI, Senior

• Generate and maintain customer service and Supply Chain KPI reports
• Develop and maintain databases, queries, and processes in Microsoft Access
• Perform SQL analyses to identify root causes, trends, and opportunities for improvement
• Create and maintain Power BI dashboards
• Develop automations using Python and VBA to reduce manual tasks
• Use generative AI to accelerate analyses, documentation, testing, and prototyping
• Collaborate with operations, IT, data engineering, and customer service

Business Intelligence Analyst – Warehousing and Distribution

• Desenvolver e manter processos de ETL/ELT para integração de dados provenientes de diferentes sistemas.
• Estruturar bases analíticas para consumo em Power BI e outras ferramentas de Analytics.
• Desenvolver modelos de dados escaláveis, performáticos e de fácil manutenção.
• Criar dashboards executivos, indicadores e frameworks de KPIs.
• Trabalhar com grandes volumes de dados, relacionamentos complexos e otimização de performance.
• Desenvolver transformações utilizando SQL, Power Query e Python quando necessário.
• Documentar processos, regras de negócio, fluxos de dados e modelos analíticos.
• Colaborar com equipes multidisciplinares em projetos estratégicos de Analytics e Business Intelligence.

Analista de Dados – Engenharia, BI

• Construir análises e indicadores para suporte à tomada de decisão;
• Monitorar dashboards, processos e ferramentas de negócio;
• Identificar oportunidades de melhoria operacional;
• Apoiar a evolução de indicadores estratégicos;
• Atuar como interface entre as áreas de negócio e Plataforma & Dados;
• Validar informações e garantir a confiabilidade dos dados;
• Elaborar materiais gerenciais para liderança;
• Aplicar soluções de Inteligência Artificial e automação para ganho de eficiência.

Analista de Inteligência de Negócios – Pleno

• Modelar e tratar dados: Extrair, tratar e integrar dados de múltiplas fontes garantindo a confiabilidade da informação;
• Desenvolver ferramentas para coletar e integrar dados de diversas plataformas e fontes da empresa;
• Utilizar softwares especializados para processar e visualizar dados de forma inteligente e acessível;
• Implementar ajustes em processos internos de TI que impactem a qualidade dos dados e eficiência das análises.

Analista de BI Pleno

• Continuously monitor the capacity of the Microsoft Fabric environment, tracking consumption and performance metrics to prevent bottlenecks, degradations, and throttling.
• Investigate performance issues in reports, semantic models, and analytical processes, performing troubleshooting and identifying root cause.
• Perform optimizations on data models, queries, and DAX expressions to ensure greater efficiency and an improved user experience.
• Manage platform administration and governance, including: organizing Workspaces; access and security management (RLS/OLS); version control with Git; deployment pipelines; and artifact lifecycle governance.
• Work consultatively with business stakeholders and development teams, promoting best practices for Power BI and Microsoft Fabric.
• Support architectural decisions involving Lakehouse, Data Warehouse, Direct Lake, and semantic models.
• Proactively monitor logs, metrics, and platform usage to anticipate incidents before they impact production.
• Support legacy analytical solutions in on-premises environments, ensuring stability and operational continuity of existing integrations and models using SSIS and SSAS.

Senior BI & Data Governance Analyst – Microsoft Fabric

• Garantir a confiabilidade dos dados coletados pela área e interpretar o mercado, vendas e concorrência para criar relatórios detalhados sobre tendências de consumo e movimentações do setor.
• Identificar e analisar fatores que influenciam a demanda por carne bovina, incluindo condições econômicas, preferências do consumidor e políticas regulamentares.
• Manter-se atualizado sobre as atividades e estratégias dos concorrentes, incluindo novas ofertas de produtos e movimentos de mercado.
• Preparar relatórios regulares e apresentações claras e impactantes para a alta gestão e outras partes interessadas, destacando insights críticos e recomendações.
• Trabalhar em conjunto com o BI para garantir que as estratégias de mercado estejam alinhadas com os objetivos globais da empresa.

Analista BI Sr

• Strong experience developing reports and dashboards in Tableau, Power BI, Looker, and with DAX, M, and Power Query.
• Experience in report/dashboard design (screen layouts).
• Implementation and administration of BI tools.
• Strong experience with relational databases (SQL and MariaDB); PostgreSQL is desirable.
• Good knowledge of NoSQL databases (MongoDB).
• Capable of performing data ETL.

BI Analyst, Data Visualization

• Realizar as análises e desenvolvimento de oportunidades de negócios para a organização.
• Avaliar o potencial de novos mercados, parcerias, produtos ou serviços.
• Apoiar decisões de precificação com base em dados e visão de negócio.
• Conduzir análises de formação, revisão e otimização de preços com base em dados internos e externos.
• Realizar e apoiar a manutenção e gestão de listas de preços nos sistemas.
• Atuar na governança de preços, incluindo controle de descontos, exceções e aderência à política comercial.
• Apoiar a construção e evolução de modelos analíticos, cenários e simulações de impacto em volume, receita, margem e rentabilidade.
• Construir e manter indicadores e dashboards de performance.

Analista de Pricing e Inteligência de Negócios - SR

• Apoiar a extração, tratamento, consolidação e análise de dados provenientes dos sistemas corporativos, garantindo a qualidade e a confiabilidade das informações.
• Desenvolver e manter relatórios operacionais, gerenciais e dashboards em ferramentas de Business Intelligence, apoiando a tomada de decisão das áreas de negócio.
• Realizar consultas em bancos de dados utilizando SQL para atendimento das demandas analíticas e operacionais.
• Organizar, estruturar e transformar bases de dados para geração de indicadores e estudos analíticos.
• Apoiar a construção e manutenção de dashboards no Power BI, garantindo atualização, performance e usabilidade.
• Validar a consistência das informações apresentadas nos relatórios, identificando inconsistências e propondo melhorias na qualidade dos dados.
• Atuar no suporte às áreas clientes, entendendo necessidades de negócio e traduzindo-as em soluções analíticas.
• Contribuir para projetos de melhoria contínua, automação de processos e evolução das soluções de BI.
• Cumprir os prazos acordados para entrega das demandas, garantindo qualidade técnica e alinhamento com as necessidades das áreas internas.

Analista de BI – Junior

• Lead technical projects end-to-end
• Own systems and data domains
• Design and evolve data architecture and the corporate dimensional model
• Build and optimize Microsoft Fabric and Data Lake pipelines
• Lead Data Science, Machine Learning, and AI/automation initiatives
• Define and advocate data quality, governance, and security standards
• Conduct code reviews and technical planning
• Act as the architect for integrations (SAP, Zendesk)

Senior BI Analyst

• Develop automations for data collection, processing, and provisioning.
• Create and maintain dashboards and management reports.
• Support internal teams in automating databases and processes.
• Develop and maintain the calculations for the company's key KPIs.
• Ensure the quality and consistency of information used in analyses.
• Identify process improvement opportunities through data and automations.

Junior BI Analyst

• Manipulação e Extração de Dados (SQL): Escrever, otimizar e manter queries complexas em SQL para extrair, tratar e consolidar dados de múltiplos ambientes (Bancos de Dados, Cloud, Data Warehouses e Data Marts).
• Construção de Dashboards (Power BI): Desenhar, desenvolver e publicar relatórios e dashboards avançados em Power BI (utilizando DAX e Power Query de forma eficiente), garantindo usabilidade, performance visual e atualização automatizada.
• Arquitetura e ETL: Mapear os processos das áreas de negócio para desenhar e implementar fluxos de ETL/ELT, estruturando bases analíticas sólidas e aplicando técnicas de mineração de dados.
• Garantia de Qualidade e Saneamento: Investigar ativamente divergências de dados e quebras de indicadores, aplicando correções na origem das bases, ajustando regras de negócio no código e garantindo a acurácia dos dashboards.
• Modelagem Focada em Negócios: Atuar como a ponte técnica junto à área Comercial, traduzindo as necessidades e KPIs de negócio deles em requisitos técnicos de dados, tabelas fato/dimensão e soluções analíticas escaláveis.
• Governança de Dados: Monitorar a integridade, consistência e qualidade dos dados consumidos nas plataformas analíticas (Power BI, Metabase, Looker), garantindo que as regras de negócio estejam unificadas.

Analista de Dados/BI Pl.

• Develop, update and optimize dashboards and reports using tools such as Power BI and Looker Studio;
• Perform data analysis using SQL, Excel and other supporting tools, transforming raw data into actionable insights;
• Support extraction, cleaning, organization and validation of data from different sources;
• Monitor and analyze business-relevant KPIs, identifying variations, trends and opportunities;
• Ensure the quality, consistency and integrity of the information used in deliverables;
• Build recurring and ad-hoc analyses to support business, marketing, product and media decisions;
• Support the creation and maintenance of ETL processes and data modeling;
• Work with data from platforms such as AppsFlyer, Firebase, GA4 and media platforms, supporting performance, behavior and conversion analyses.

Business Intelligence Analyst

• Join our Data team as a Mid-level Data Analyst
• Work on Business Intelligence and Data Engineering projects
• Develop, optimize, and troubleshoot complex SQL queries
• Build tables and data pipelines using GCP and Power BI
• Collaborate with other departments to gather requirements and develop analytical solutions

Mid-level Data Analyst – Power BI, GCP

• Develop dashboards, management reports and performance indicators by gathering requirements from business areas, modeling data and building panels in BI tools to provide reliable information that supports decision-making.
• Perform data and performance indicator analyses by collecting, consolidating and interpreting information from multiple sources to identify opportunities, deviations and support the company’s strategic actions.
• Maintain and enhance Business Intelligence solutions by implementing fixes, continuous improvements and adjustments to business needs to ensure availability, quality and relevance of the provided information.
• Validate and monitor the quality of corporate data by performing consistency analyses, validations and monitoring data load processes to ensure the reliability of information used by the organization.
• Support data and analytics-related projects and requests by interacting with business areas and technical teams to promote the development of an analytical culture and increase operational efficiency.
• Elicit and document information requirements and indicators by conducting meetings and alignments with internal stakeholders to ensure analytical solutions meet business needs.
• Extract and process data from relational databases by creating and optimizing SQL queries and integration processes to provide structured data suitable for corporate analyses.
• Contribute to the governance and standardization of corporate information by applying best practices in modeling, documentation and data quality to strengthen the reliability and strategic use of information in the organization.
• Perform other related duties inherent to the role as required by the area, under leadership guidance and continuous professional development, to contribute to the efficiency of the company’s financial operations.

BI Analyst

• Act as the company’s demand-generation engine, responsible for active prospecting and technical qualification of leads.
• Analyze the commercial lead database on a daily basis.
• Organize, clean and classify leads according to potential and profile.
• Distribute leads to consultants based on defined strategic criteria.
• Monitor response times and lead utilization.
• Identify bottlenecks and opportunities in the commercial conversion process.
• Request quotes for SME health insurance plans from carriers and partner platforms.
• Support the commercial team in preparing commercial proposals.
• Conduct multi-channel active prospecting (cold calls, emails and professional networks) to generate new business opportunities.
• Qualify leads from both inbound and outbound sources by applying the technical criteria defined in the commercial strategy.
• Map key decision-makers and influencers within the client’s organization, identifying pains and needs before scheduling meetings.
• Ensure data governance in the CRM by keeping interaction histories and each lead’s information rigorously up to date.
• Execute the handoff process to the sales team, providing detailed context on qualified opportunities.
• Monitor performance indicators and funnel metrics to continuously optimize prospecting efficiency.
• Provide strategic feedback to the Marketing team on lead quality and alignment with the Ideal Customer Profile (ICP).
• Master sales automation tools and consultative approach techniques to ensure pipeline health and progression.
• Actively collaborate with marketing and sales teams to ensure alignment with the company’s growth goals.
• Identify interest triggers and address initial objections to increase top-of-funnel conversion rates.

BI Analyst – Commercial Support

• Measure and monitor: Build and maintain dashboards and agent performance indicators.
• Track metrics such as containment/resolution rate, abandonment, fallback, escalation to human, latency, and response quality.
• Analyze conversations and interactions (voice and text) to identify patterns, recurring errors, and bottlenecks.
• Work on labeling and categorizing conversations (structured and unstructured data). Investigate root causes behind performance drops.
• Propose and prioritize: Generate actionable insights to evolve prompts, context, and the agents' knowledge base. Propose and prioritize improvement initiatives based on data, in collaboration with AI and Product teams.
• Validate impact: Monitor and measure the results of implemented changes, closing the loop between hypothesis and real impact.

Junior Data Analyst – BI

• Support the development of data-driven solutions, connecting business needs with insights
• Collect and incorporate feedback from users and stakeholders to improve deliverables
• Track defined priorities and maintain organization of the workflow
• Contribute to the continuous improvement of the department's processes and routines
• Ensure responsible and ethical use of data, following standards and best practices
• Create custom data analyses to meet the team's specific needs
• Collaborate with the team to identify opportunities for improvement and process optimization.

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