This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Analista de Dados Pleno in Brazil.
This role sits at the core of a data-driven culture, where insights and analytics directly shape product decisions and business strategy. You will work closely with cross-functional teams to transform complex datasets into clear, actionable insights that support growth and operational efficiency. The position involves building scalable data pipelines, developing dashboards, and supporting predictive and analytical models that empower decision-making. You will contribute to the evolution of self-service analytics, enabling stakeholders to independently access and interpret data. The environment is collaborative, fast-paced, and highly focused on innovation and continuous improvement. This is an opportunity to make a tangible impact by turning data into strategic value across the organization.
Accountabilities:
- Build, maintain, and evolve scalable data pipelines and robust data architectures to support business analytics needs.
- Develop predictive models and data-driven solutions to support business decision-making processes.
- Create, optimize, and maintain dashboards and reports in Looker and other BI tools, ensuring usability and performance.
- Support business teams with ad hoc analyses and ensure the effectiveness of a self-service data culture.
- Collaborate with stakeholders to translate business questions into analytical solutions and actionable insights.
- Contribute to ongoing AI and advanced analytics initiatives, supporting early-stage development efforts.
- Ensure documentation, optimization, and continuous improvement of data models, reports, and pipelines.
- Share knowledge and support the technical development of the analytics team.
Requirements:
- Bachelor’s degree in a relevant field such as Computer Science, Engineering, Statistics, or related areas.
- Strong experience with AWS data ecosystem (S3, EMR, Spark, Redshift).
- Solid hands-on experience building and maintaining data pipelines.
- Advanced proficiency in Python for data analysis and engineering tasks.
- Experience creating dashboards and reports using Looker or similar BI tools (Tableau, Power BI, etc.).
- Strong communication skills with the ability to collaborate effectively with business stakeholders.
- Proactive, collaborative mindset with strong ownership and problem-solving skills.
- Nice to have: experience with LLMs, RAG, AI agents, or applied machine learning techniques.
- Experience in e-commerce or marketplace environments is a plus.
Benefits:
- Comprehensive health and dental plan with no employee cost or co-participation for the employee.
- Meal allowance (R$46/day via Flash card).
- Profit-sharing program (PLR).
- Emotional and mental health support platform (therapy, coaching, nutrition services).
- Gym and wellness access through Wellhub.
- Monthly remote work allowance.
- Flexible working hours and birthday day off.
- Childcare assistance and education support (MBA, languages, postgraduate studies, and courses).
- Cashback benefits and exclusive employee discounts.
- Life insurance coverage and SESC partnership benefits.
- Referral bonus program for successful hires.
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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