Nava Technology for Business
Cientista de Dados Pleno | Crédito e Analytics
Hybrid
São Paulo, SP, Brazil
Salary Range
Full Time Employee
Experience Level
Mid level
Requirements
Desired Skills
Tasks and Responsibilities
Show originalAt Nava, we believe in the power of technology to transform businesses — and we have a challenging and strategic opportunity waiting for you.
Come write code with us! 🚀
You will work on data analysis and development of analytical solutions focused on strategies and policies, supporting business decision-making through studies, indicators, segmentations, and low to medium complexity analytical models.
Key Responsibilities
- Develop business analyses to support decision-making in processes and policies involving business decisions.
- Build and monitor performance, risk, and outcome indicators of implemented strategies.
- Conduct exploratory analyses, segmentations, and ad hoc studies to identify opportunities and mitigate risks.
- Develop and maintain analytical and predictive models of simple to intermediate complexity.
- Evaluate impacts and measure results of implemented policies, strategies, and tests.
- Translate business demands into data-driven solutions.
- Prepare executive presentations with recommendations and insights for technical and non-technical audiences.
Requirements and Knowledge
- Experience with Python for data analysis and manipulation.
- Experience with SQL for extraction, treatment, and analysis of large data volumes.
- Knowledge of AWS Cloud environments.
- Experience building dashboards, indicators, and performance analyses.
- Experience with statistical and predictive models, including:
- Linear and logistic regressions;
- Decision trees and tree-based models;
- Segmentation and classification techniques.
- Ability to understand business problems and transform them into actionable analyses and recommendations.
- Experience in presentations and communication of results for technical and non-technical audiences.
Preferred Qualifications
- Experience in credit, risk, collections, or financial products.
- Knowledge of prompt engineering and use of Generative AI tools.
- Experience with Power BI, Tableau, or similar tools.
- Knowledge of experimentation, A/B testing, and impact measurement.
Soft Skills
- Profile with interest in continuous learning.
- Autonomy to conduct analyses and studies end-to-end.
- Critical vision and ability to transform data into business recommendations.
- Good verbal and written communication.
- Proactive, collaborative, and problem-solving oriented profile.
Interested? Apply for the position and take your technical interview with SophIA:
Code: NAVA-CIENTISTAPL
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