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Senior Data Analyst (remote) | Analista de Dados Sênior (remoto)

Role overview

Qualifications

  • Bachelor's degree in Computer Science, Information Systems, Engineering, Statistics, Data Science, or related fields.
  • 4+ years of experience working with data analytics, Business Intelligence, or related areas.
  • Strong experience with SQL and relational databases.
  • Knowledge of Python, R, or another programming language for data analysis and automation.

Responsibilities

  • Collect, process, consolidate, model, and analyze data from different sources.
  • Develop, maintain, and continuously improve dashboards, management reports, and Business Intelligence solutions.
  • Define, structure, monitor, and improve KPIs and performance indicators.
  • Integrate and validate data from multiple sources, ensuring data quality, consistency, and governance.

About the company

Dadosfera logo

Dadosfera

Data Analytics & Business Intelligence

A Dadosfera está transformando a forma como médias e grandes empresas lidam com dados, Inteligência Artificial e Analytics. Nossa plataforma entrega capacidades avançadas — antes restritas a grandes empresas de tecnologia — para organizações que precisam tomar decisões mais rápidas, seguras e orientadas ao negócio. Ao democratizar o acesso a dados confiáveis e IA aplicada, ajudamos nossos clientes a acelerar oportunidades de crescimento por meio de Dashboards, Data Apps e análises acionáveis, com impacto direto em áreas como marketing, finanças e operações. Nossa plataforma reduz significativamente o tempo e a complexidade envolvidos na gestão de dados e de nuvem, organizando todo o ciclo de vida dos dados — da coleta e integração à análise e interação — para que os times possam focar no que realmente importa: gerar valor para o negócio.

Company details

IndustryData Analytics & Business Intelligence
Company size51-200

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Job description

Company Overview


Dadosfera is transforming the data landscape with a platform that delivers advanced Data, AI, and Analytics capabilities—previously available only to tech giants like Meta, Amazon, Alphabet, and Microsoft—into the hands of small and medium-sized businesses. By democratizing access to these technologies, we empower our clients to accelerate business opportunities through AI-powered Data Apps.


Our platform minimizes the time spent on cloud management and streamlines the entire data lifecycle—from collection and exploration to processing and interaction—allowing clients to focus on their business goals. Built on a high-growth SaaS model, Dadosfera offers tailored solutions that meet real business needs.


What sets Dadosfera apart is our innovative focus on speed, scalability, and flexibility, combining big data storage with advanced analytics to drive strategic decision-making. Leveraging years of experience with data platform implementations on foreign public clouds, we now deliver a cost-effective, locally adapted solution tailored for both Brazilian and global markets. By blending deep expertise with localized infrastructure, Dadosfera provides a powerful, efficient tool that optimizes corporate data management and drives data-driven transformation.



About the Job

We are looking for a Senior Data Analyst to join our team and turn data into insights that support strategic and operational decision-making.
In this role, you will be responsible for the collection, processing, modeling, analysis, and visualization of data, working with different sources and business areas. You will help build and evolve dashboards, reports, KPIs, and analytical solutions, while contributing to data quality, governance, and process automation.
We are looking for someone with strong analytical and technical skills, who can work independently on complex problems, understand business needs, and translate them into scalable and reliable data solutions.

Responsibilities

  • Collect, process, consolidate, model, and analyze data from different sources.
  • Develop, maintain, and continuously improve dashboards, management reports, and Business Intelligence solutions.
  • Define, structure, monitor, and improve KPIs and performance indicators.
  • Develop and maintain data solutions, tools, and applications that support business and operational needs.
  • Automate and optimize recurring analytical and operational processes.
  • Integrate and validate data from multiple sources, ensuring data quality, consistency, and governance.
  • Conduct studies and analyses to generate strategic insights and support business decision-making.
  • Identify trends, opportunities, and potential improvements based on data.
  • Translate business requirements into analytical solutions and actionable recommendations.
  • Create and maintain technical documentation, methodologies, procedures, and documentation related to developed solutions.
  • Support and share knowledge with other users and teams working with data solutions.
  • Identify and propose improvements to processes, systems, and information flows.
  • Collaborate with Engineering, Data, Product, and Business teams to ensure data solutions meet organizational needs.

Minimum Qualifications

  • Bachelor's degree in Computer Science, Information Systems, Engineering, Statistics, Data Science, or related fields.
  • 4+ years of experience working with data analytics, Business Intelligence, or related areas.
  • Strong experience with SQL and relational databases.
  • Experience with data modeling, data transformation, and analytical processes.
  • Experience developing dashboards and reports using tools such as Power BI, Tableau, Looker, or similar.
  • Experience working with Excel and data analysis tools.
  • Knowledge of Python, R, or another programming language for data analysis and automation.
  • Experience working with data from multiple sources and integrating different datasets.
  • Knowledge of data quality, governance, and validation practices.
  • Ability to translate business requirements into data-driven solutions.
  • Strong analytical, problem-solving, and critical-thinking skills.
  • Ability to communicate complex data concepts and insights clearly to technical and non-technical audiences.
  • Proactive profile, with autonomy and strong attention to detail.


At Dadosfera, we celebrate diversity in all its forms and are committed to fostering an inclusive environment every day. We have zero tolerance for any form of discrimination. Do you share our values? Then don’t wait—apply today!

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Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
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