Decision Scientist (Estratégia de Portfólio)
Job Description
Team: Analyst
This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Decision Scientist (Estratégia de Portfólio) in Brazil.
This role sits at the intersection of data, strategy, and business decision-making, with a strong focus on portfolio performance and financial sustainability. You will work in a highly analytical environment, transforming complex business challenges into structured problems that can be solved with data. The position plays a key role in shaping decisions that directly impact profitability and long-term growth. You will collaborate with cross-functional teams across different areas of the business, translating insights into clear, actionable recommendations. The environment is dynamic, fast-paced, and highly collaborative, requiring strong critical thinking and communication skills. Your work will also support leadership with reports, analyses, and strategic perspectives that guide high-level decisions.
Accountabilities:
- Identify, structure, and break down complex business problems into analytical frameworks
- Develop and validate hypotheses using data analysis to support decision-making
- Build and monitor experiments, ensuring accurate measurement of outcomes and impact
- Support the design of policies and strategies to improve portfolio performance and profitability
- Analyze and project portfolio risk, contributing to financial sustainability and scalable growth
- Produce insights, reports, and presentations for leadership and cross-functional stakeholders
- Challenge assumptions, ensuring decisions are grounded in data and sound reasoning
- Collaborate with multiple teams, translating analytical findings into actionable business decisions
- Strong ability to structure and solve complex and ambiguous problems
- High analytical thinking and comfort working with data-driven environments
- Solid understanding of business dynamics and decision-making processes
- Curiosity and continuous learning mindset, with openness to new tools and methods
- Strong communication skills, able to explain complex insights clearly to different audiences
- Ability to work collaboratively in diverse, cross-functional teams
- Familiarity with data manipulation tools (not mandatory, but essential for effectiveness)
- Nice to have: experience with Python or other data science languages
- Nice to have: knowledge of statistics (hypothesis testing, sample sizing, etc.)
- Nice to have: experience with data visualization tools (Metabase, Looker, Superset, etc.)
- Competitive salary package (to be discussed during the hiring process)
- Health and dental insurance
- Meal and/or food allowance
- Transportation assistance
- Extended maternity and paternity leave
- Childcare assistance
- Wellness benefits through health and therapy partners
- Education incentives and support for continuous learning
- Discounts on airfare
- Pet health plan partnerships
- Access to educational materials for employees’ children
- Partnerships for MBA and postgraduate programs
- Inclusive and diverse work environment focused on equal opportunity.
Requirements:
Benefits:
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Date Posted
05/20/2026
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