Senior Data Analyst, Analista de Dados Sênior
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Job Description
Senior Data Analyst transforming data into dashboards, KPIs, and strategic insights. Supporting Dadosfera’s SaaS data platform serving Brazilian and global businesses.
Responsibilities:
- Collect, process, consolidate, model, and analyze data from different sources
- Develop, maintain, and 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 supporting 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 solution documentation
- Support and share knowledge with 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 solutions meet organizational needs
Requirements:
- 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 Power BI, Tableau, Looker, or similar tools
- 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, autonomy, and strong attention to detail
Benefits:
- Inclusive environment committed to diversity
- Zero tolerance for discrimination
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