As a Junior MIS Analyst, you will extract, organize, and analyze data, support report creation, and contribute to performance indicator consolidation.
Analista de Dados Júnior
📜 Description
- Analyze user behavior, business performance, and system efficiency to identify opportunities and insights.
- Conduct quantitative investigations with business teams to validate problems and support decision-making.
- Help define and automate relevant KPIs for business teams.
- Monitor key metrics and investigate trends using appropriate analytical approaches.
- Collect and analyze market data to support strategic decisions.
- Contribute to the development of testing frameworks, including A/B testing.
🛠️ Requirements
- Bachelor's degree completed in a relevant field.
- Previous experience in data analysis and KPI management, preferably in digital businesses.
- Strong analytical skills with the ability to use quantitative data.
- Advanced SQL knowledge for data extraction and analysis.
- Experience with data visualization tools like Tableau or Power BI.
- Proficiency in Excel for data analysis and reporting.
- Knowledge of Python and/or R for data analysis.
- Familiarity with experimentation methodologies, including A/B testing.
✨ Benefits
- Competitive compensation.
- Health insurance.
- Dental insurance.
- Private pension plan.
- Flexible benefits designed to adapt to individual needs.
- Meal and food allowance.
- Financial guidance and counseling.
- Employee benefits and discount club.
Full job description
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for an Analista de Dados Júnior based in Brazil.
Join a data-driven environment where insights help shape products, customer experiences, and business decisions.
In this role, you will work closely with business teams to investigate opportunities, understand user behavior, and solve complex problems through data.
You will contribute to KPI management, reporting automation, experimentation, and quantitative analysis.
Your work will help teams make more informed decisions and identify opportunities for improvement and growth.
You will also support the development of a strong data foundation, enabling teams to access and use information independently and responsibly.
The role combines technical analysis with close collaboration across multidisciplinary teams.
It is an opportunity to strengthen your data skills while contributing to a large-scale digital business and a culture of autonomy, inclusion, and continuous learning.
Accountabilities
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Analyze user behavior, business performance, and system or feature efficiency to identify new opportunities and actionable insights.
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Conduct quantitative investigations alongside business teams, validating problems and providing evidence to support prioritization and decision-making.
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Help business teams define and structure relevant KPIs, including automating their calculation and visualization.
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Monitor key metrics, investigate variations and trends, and apply the appropriate dimensions and analytical approaches to each indicator.
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Collect and analyze market data, including industry trends and competitor information, to support strategic and operational decisions.
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Contribute to the development and evolution of the team's testing and experimentation framework, including A/B testing initiatives.
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Help establish and disseminate data foundations, enabling business teams to consume information independently, securely, and effectively.
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Communicate findings clearly to technical and non-technical stakeholders and translate analysis into practical recommendations.
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Bachelor's degree completed in a relevant field.
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Previous experience in data analysis and KPI management, preferably within digital businesses or technology-driven environments.
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Strong analytical skills and the ability to investigate business questions using quantitative data.
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Advanced SQL knowledge and experience extracting, transforming, and analyzing data.
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Experience with data visualization tools such as Tableau, Power BI, or similar platforms.
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Practical proficiency with Excel for data analysis and reporting.
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Knowledge of Python and/or R for data analysis and exploration.
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Familiarity with experimentation methodologies, including A/B testing.
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Interest in Machine Learning, including supervised and unsupervised models.
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Ability to work collaboratively with business and technical teams and communicate analytical findings clearly.
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Curiosity, willingness to learn, and a structured approach to solving problems.
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Competitive compensation.
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Health insurance.
-
Dental insurance.
-
Private pension plan.
-
Flexible benefits designed to adapt to individual needs.
-
Meal and food allowance.
-
Financial guidance and counseling.
-
Employee benefits and discount club.
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Home-office allowance.
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Mobility allowance.
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Childcare allowance.
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Life insurance.
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Extended parental and family-related leave policies.
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Incentives focused on sports, quality of life, and well-being.
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Payroll-deducted loan options with reduced rates.
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Flexible and predominantly remote working model, with occasional in-person gatherings according to team needs.
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An inclusive environment focused on diversity, equity, collaboration, autonomy, and professional development.
Requirements
Benefits
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