Is the Senior Data Analyst position at Keyrus Brazil fully remote?

Yes, this Senior Data Analyst position at Keyrus Brazil is a remote position. The role is available for candidates in Brazil.

Is this a full-time or part-time Senior Data Analyst role?

This is a full-time Senior Data Analyst position at Keyrus Brazil.

What are the main requirements for the Senior Data Analyst role?

Key requirements include: Conduct data engineering for projects, creating functional and technical specifications with a focus on business value, transformation rules, acceptance criteria, and data traceability., Act on the collection and mapping of complex processes with business areas, identifying flows, exceptions, dependencies, and opportunities for improvement using frameworks such as BPMN, SIPOC, and UML., Translate business needs into scalable technical solutions for engineering and analytics teams, ensuring alignment between functional and technical stakeholders., and more.

How do I apply for the Senior Data Analyst position at Keyrus Brazil?

You can apply for this Senior Data Analyst position by clicking the "Apply Now" button on this page, which will take you to Keyrus Brazil's application portal.

Remote Opportunity

Senior Data Analyst

Join Keyrus Brazil as a senior professional working remotely from Brazil. Explore the role, benefits, and apply in one place.

Senior Data Analyst

Keyrus Brazil

Full Time

$120,000 - $180,000*

4 months ago

Brazil

Data

Senior

Requirements Engineering

Data Modeling

Data Warehousing

+5 more

Job Description

A Keyrus acredita na diversidade e na inclusão. Encorajamos a todos a participarem em nosso processo de contratação, não importando o gênero, idade, raça, religião. Não permitimos nenhum tipo de discriminação. Isto é reforçado no processo de contratação e vivido dessa forma na empresa. Sabemos que grandes resultados só são alcançados com uma grande equipe, por isso procuramos pessoas talentosas e apaixonadas, com desejo de crescer profissionalmente e criar uma trajetória de carreira conosco. Papéis e

Responsabilidades: Conduzir a engenharia de requisitos para projetos de dados, elaborando Especificações Funcionais e Técnicas com foco em valor de negócio, regras de transformação, critérios de aceite e rastreabilidade das informações. Atuar no levantamento e mapeamento de processos complexos junto às áreas de negócio, identificando fluxos, exceções, dependências e oportunidades de melhoria por meio de frameworks como BPMN, SIPOC e UML. Traduzir necessidades de negócio em soluções técnicas escaláveis para times de engenharia e analytics, garantindo alinhamento entre stakeholders funcionais e técnicos. Definir e documentar arquiteturas de consumo de dados, incluindo modelagem dimensional, definição de grão, tabelas fato e dimensões em estruturas Star Schema e Snowflake. Apoiar iniciativas de BI e DataViz, estruturando frameworks de consumo e visualização de dados em ferramentas corporativas como Power BI. Realizar análises e validações de dados utilizando SQL para exploração, homologação, cruzamento de informações e validação de hipóteses. Atuar em ambientes ágeis, participando da quebra de Features em User Stories, refinamentos, planejamento de entregas e acompanhamento contínuo entre negócio e engenharia. Facilitar discussões entre diferentes áreas da empresa para alinhamento conceitual de indicadores, métricas e regras de negócio. Assumir postura consultiva, questionando demandas e propondo soluções que atendam ao problema raiz do negócio, garantindo entregas com impacto e valor agregado. Liderar processos de descoberta de informação em ambientes complexos, incluindo sistemas legados e cenários com pouca documentação. Qualificações

Essenciais: Experiência sólida em Engenharia de Requisitos para Dados, incluindo elaboração de Especificações Funcionais e Técnicas. Conhecimento avançado em modelagem de dados e conceitos de Data Warehousing, utilizando metodologias Kimball e Inmon. Vivência com modelagem dimensional e construção de arquiteturas analíticas (Star Schema e Snowflake). Experiência em mapeamento de processos e levantamento de requisitos utilizando BPMN, SIPOC, UML ou frameworks similares. Conhecimento em ecossistemas Big Data e plataformas de processamento de dados, como Databricks. Experiência com ferramentas de BI e visualização de dados, especialmente Power BI. Conhecimento em SQL para análise, validação e homologação de dados. Vivência em metodologias ágeis (Scrum) e integração contínua dentro de ambientes DevOps. Excelente capacidade de comunicação para interação com públicos executivos, áreas de negócio e times técnicos. Habilidade de negociação, gestão de conflitos e alinhamento entre múltiplos stakeholders.

Nossa missão é Auxiliar as empresas a extrair todo o potencial de Dados e Digital objetivando aumentar seu desempenho, ajudando na transformação, gerando novas alavancas de crescimento e competitividade. Vem fazer parte do Time Keyrus! Se você quiser saber mais sobre nós, convidamos você a visitar nosso site: http://www.keyrus.com/br/

Desejamos boa sorte! 😊🚀

Requirements

Conduct data engineering for projects, creating functional and technical specifications with a focus on business value, transformation rules, acceptance criteria, and data traceability.
Act on the collection and mapping of complex processes with business areas, identifying flows, exceptions, dependencies, and opportunities for improvement using frameworks such as BPMN, SIPOC, and UML.
Translate business needs into scalable technical solutions for engineering and analytics teams, ensuring alignment between functional and technical stakeholders.
Define and document data consumption architectures, including dimensional modeling, grain definition, fact tables, and dimensions in Star Schema and Snowflake structures.
Support BI and DataViz initiatives, structuring data consumption and visualization frameworks in corporate tools like Power BI.
Perform data analysis and validation using SQL for exploration, homologation, information crossing, and hypothesis validation.
Act in agile environments, participating in feature breaking into user stories, refinements, delivery planning, and continuous follow-up between business and engineering.
Facilitate discussions between different areas of the company to align conceptual indicators, metrics, and business rules.

Skills

Requirements Engineering

Data Modeling

Data Warehousing

SQL

Power BI

Databricks

BPMN

SIPOC

About AI-Estimated Salary

The salary range shown was not provided by the employer. Our AI has estimated it based on the job title, required experience, location, and industry standards (confidence: 80%). This estimate should be used as a general guide only and may not reflect the actual compensation. Always confirm salary details directly with the employer during the application process.

Ready to Apply?

Join Keyrus Brazil today

Salary Range (AI-Estimated)*

$120,000 - $180,000

80% confidence

Posted 4 months ago

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