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Analista de Dados Júnior

icon building Empresa : Jobgether
icon briefcase Tipo de Emprego : Periodo Integral
icon remote-alt Remote / Work from Home

Descrição do Emprego - Analista de Dados Júnior


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




  • Analyze user behavior, business performance, and system or feature efficiency to identify new opportunities and actionable insights.




  • Conduct quantitative investigations alongside business teams, validating problems and providing evidence to support prioritization and decision-making.




  • Help business teams define and structure relevant KPIs, including automating their calculation and visualization.




  • Monitor key metrics, investigate variations and trends, and apply the appropriate dimensions and analytical approaches to each indicator.




  • Collect and analyze market data, including industry trends and competitor information, to support strategic and operational decisions.




  • Contribute to the development and evolution of the team's testing and experimentation framework, including A/B testing initiatives.




  • Help establish and disseminate data foundations, enabling business teams to consume information independently, securely, and effectively.




  • Communicate findings clearly to technical and non-technical stakeholders and translate analysis into practical recommendations.




Requirements




  • Bachelor's degree completed in a relevant field.




  • Previous experience in data analysis and KPI management, preferably within digital businesses or technology-driven environments.




  • Strong analytical skills and the ability to investigate business questions using quantitative data.




  • Advanced SQL knowledge and experience extracting, transforming, and analyzing data.




  • Experience with data visualization tools such as Tableau, Power BI, or similar platforms.




  • Practical proficiency with Excel for data analysis and reporting.




  • Knowledge of Python and/or R for data analysis and exploration.




  • Familiarity with experimentation methodologies, including A/B testing.




  • Interest in Machine Learning, including supervised and unsupervised models.




  • Ability to work collaboratively with business and technical teams and communicate analytical findings clearly.




  • Curiosity, willingness to learn, and a structured approach to solving problems.




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.




  • Home-office allowance.




  • Mobility allowance.




  • Childcare allowance.




  • Life insurance.




  • Extended parental and family-related leave policies.




  • Incentives focused on sports, quality of life, and well-being.




  • Payroll-deducted loan options with reduced rates.




  • Flexible and predominantly remote working model, with occasional in-person gatherings according to team needs.




  • An inclusive environment focused on diversity, equity, collaboration, autonomy, and professional development.




How Jobgether works:

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!


 

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

 

 

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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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