FP&A and Data Analyst III

Responsibilities

• Profitability Book Management: Take ownership and daily management of the B2B channel profitability book — a central tool for all tactical decision-making by the executive team.
• Short- and Medium‑Term Planning: Work with a focus on the 2026 and 2027 horizons, performing budget simulations, trend analysis and closely monitoring the monthly closings of the B2B FP&A vertical.
• Automation and Operational Efficiency: Identify operational bottlenecks and implement daily automated routines for data extraction and processing using programming, maintaining the team’s automations to enable focus on strategic analysis.
• Data Handling and Governance: Build queries and cross-reference highly complex datasets (financial, sales, market) to refine information and ensure consistency and data governance within the system.
• Financial Analytics: Perform predictive analyses, trend studies and deep diagnostics of budget variances, providing the planning team with intelligent data‑driven inputs.
• Business Partnering: Act as a multifunctional connector, continuously aligning information with Consumer Financial Planning, Credit, and internal FP&A and Sales Finance teams.
• Storytelling and Executive Presentations: Translate complex technical metrics and large volumes of data into simple, visual executive presentations to support leadership decision-making.

Requirements

• Education: Bachelor’s degree in Engineering, Data Science, Economics, Business Administration, Accounting or related fields with a strong analytical orientation.
• Corporate Experience (Hybrid Profile): Extensive prior experience in traditional FP&A or finance is not required.
• Profile Fit: We are looking for a data/technology‑focused professional who wants to migrate to finance and get closer to the business, or a finance professional with a strong technology orientation.
• Innovative Mindset: Active curiosity about Artificial Intelligence (AI) and a drive for continuous improvement with new tools.
• Databases and Automation: Practical experience with SQL for data extraction and processing, and programming logic for automation (Python or R is a plus).
• Business Intelligence and Productivity: Advanced Excel skills, proficiency in the Google ecosystem (Sheets and Slides) and experience developing dashboards/reports in BI tools (such as Looker Studio, Apps Script, among others).
• Soft Skills: Sharp logical reasoning, strong analytical capability, proactivity and autonomy to operate in discovery scenarios.
• Communication: Excellent communication and the ability to synthesize technical concepts into simple explanations.
• Market Differentiator: Prior experience in consumer goods companies or large retail chains working with consumer behavior data.