Grupo QuintoAndar | Planning & Insights Specialist

About the role

You will architect and lead the diagnostic intelligence framework for the Pay In portfolio, consolidating fragmented data streams into a single source of truth that clarifies performance across all critical dimensions. You will own the end-to-end analytical lifecycle, from problem definition through insight generation to recommendation implementation, ensuring rigor and clarity in every output. You will act as the primary analytical partner for cross-functional stakeholders, challenging assumptions and translating complex data narratives into actionable strategies that drive recovery and efficiency. You will leverage advanced data modeling techniques to segment the portfolio and uncover non-linear patterns that traditional reporting would obscure. You will define and monitor a comprehensive set of metrics and KPIs that reflect the health and trajectory of the portfolio on a daily and monthly basis. You will foster a culture of evidence-based decision making by building reusable analytical assets and transparent methodologies that teams can trust and rely upon. You will communicate directly with senior leadership to align analytical priorities with business strategy, ensuring that insights directly influence resource allocation and execution.

Key facts

What you'll do

Analyze portfolio performance across multiple dimensions to identify root causes of losses and prioritize high-impact recovery initiatives.

Develop and maintain a robust data model that structures the Pay In portfolio by segment, contract, aging, and channel to enable precise diagnostic insights.

Partner with Operations, Credit, and Product teams to build and refine financial forecasts, ensuring alignment on loss budgets and recovery assumptions.

Translate business questions into analytical frameworks, designing experiments and dashboards that measure the effectiveness of strategic initiatives.

Lead the annual and quarterly planning cycles, transforming loss budgets into concrete recovery targets grounded in operational reality.

Validate key assumptions and drivers within the portfolio model, assessing the technical feasibility and reliability of recovery projections.

Establish a governance rhythm for performance review, synthesizing daily and monthly performance data into clear narratives for decision forums.

Identify gaps and opportunities in existing data pipelines, collaborating with technical partners to improve data quality and accessibility for analytical use.

Champion the use of data visualization tools to communicate complex findings to non-technical stakeholders in a concise and compelling manner.

Define and track a prioritized set of metrics that reflect the success of recovery efforts and the overall health of the portfolio.

Act as a subject matter expert on portfolio performance, providing training and guidance to internal teams on analytical best practices.

Challenge existing paradigms by questioning foundational premises and exploring alternative hypotheses that could unlock new recovery pathways.

Synthesize insights from disparate sources into cohesive recommendations that balance financial impact with operational feasibility.

Represent the Planning & Insights function in cross-departmental initiatives, ensuring that analytical considerations are integrated into product and operational roadmaps.

Requirements

You hold a Bachelor's or Master's degree in Economics, Finance, Mathematics, Statistics, Data Science, or a related quantitative field.

You possess 3 or more years of professional experience in analytics, portfolio management, or a related field within the financial or technology sector.

You demonstrate advanced proficiency in data analysis tools, including SQL for data extraction and manipulation and a programming language such as Python or R.

You have hands-on experience with data visualization platforms such as Tableau, Looker, or Power BI to build and deploy analytical dashboards.

You show a strong command of statistical methods and modeling techniques, enabling you to analyze complex datasets and derive reliable conclusions.

You are highly adept at managing multiple analytical projects simultaneously, prioritizing tasks, and meeting strict deadlines in a fast-paced environment.

You communicate complex analytical concepts clearly and effectively to both technical and non-technical audiences, adapting your style to the audience.

You are fluent in Portuguese and English, with strong written and verbal skills in both languages to ensure precise communication across teams.

Nice to have

Experience working within the financial services or fintech sectors, with a proven track record in portfolio management or credit risk analytics.

Familiarity with machine learning techniques and their application to forecasting and classification problems in financial contexts.

Previous experience collaborating with cross-functional product and operations teams in a matrixed environment.

Practical notes

This role operates under a hybrid work model, combining remote work flexibility with periodic in-person collaboration at our São Paulo office. There are no specified travel requirements, visa sponsorships, or publication constraints for this position.