Analista de Dados Pleno (Vaga Afirmativa para Pessoas Com Deficiência)
J
JobgetherData Analytics
BrazilFull-TimeMiddle
Salary not disclosed
Apply NowOpens the employer's application page
Job Details
- Required Skills
- PythonSQLData AnalysisMachine LearningMicrosoft Power BITableauMicrosoft ExcelA/B testingR
Requirements
- Bachelor's degree completed in a relevant field such as Data, Technology, Statistics, Economics, Engineering, Business, or related areas.
- Professional experience in data analysis and KPI management, preferably within digital products or data-intensive environments.
- Strong analytical and problem-solving skills.
- Advanced SQL knowledge and hands-on experience developing queries and extracting data.
- Experience with data visualization tools such as Tableau, Power BI, or similar platforms.
- Experience using Excel for data analysis and manipulation.
- Knowledge of Python and/or R for analytical and data-related activities.
- Knowledge of experimentation methodologies, including A/B testing.
- Interest in Machine Learning, including supervised and unsupervised models.
- Ability to communicate insights clearly and collaborate effectively with business and technical teams.
Responsibilities
- Identify new business opportunities by analyzing user behavior patterns, system efficiency, product performance, and feature usage.
- Lead quantitative investigations alongside business teams, validating problems through data and providing insights to support prioritization and resolution.
- Support business teams in defining and managing KPIs, including automating calculations, developing visualizations, and monitoring performance across relevant dimensions.
- Collect and analyze market intelligence, including industry trends and competitor activity.
- Develop and evolve the area's testing and experimentation framework, including the design and analysis of A/B tests.
- Structure and disseminate data foundations that enable business teams to consume information independently, efficiently, and securely.
- Translate analytical findings into clear insights and recommendations that support business and product decisions.
- Collaborate with multidisciplinary stakeholders to strengthen data-driven practices.
View Full Description & ApplyYou'll be redirected to the employer's site
