Serve as a core analytical partner to the CFO, Head of Strategy, and commercial leadership, helping define analytical priorities and shaping strategic decision-making.
Translate evolving business needs into robust analytical plans, ensuring clarity around objectives, data requirements, and expected impact.
Develop predictive models, segmentation frameworks and optimization analyses to support financial planning, portfolio strategy, and commercial performance.
Build and refine scalable analytics workflows in SQL and Google BigQuery, ensuring high-quality data pipelines and efficient processing of large datasets.
Apply AI and machine learning techniques to automate processes, enhance decision-making, and unlock new insights across pricing, customer behavior, and product performance.
Conduct deep-dive analyses into revenue drivers, product mix, elasticity, promotions, and customer/segment profitability.
Support revenue management or growth initiatives by identifying leverage points for price optimization, margin enhancement, sales acceleration, and product strategy.
Evaluate performance across complex or configurable product portfolios, ensuring insights account for multivariate product and commercial structures.
Synthesize analytical findings into clear, concise narratives tailored for executives and commercial teams.
Help build a data-driven culture by elevating analytical standards, sharing best practices, and improving access to insights.

Requirements

5+ years in data science, advanced analytics, revenue management, pricing analytics, or growth-focused analytical roles.
Deep expertise in SQL and Google BigQuery, with hands-on experience managing large, complex datasets.
Proven track record partnering with finance leaders, strategy leaders, or senior commercial executives.
Strong business judgment with the ability to proactively identify high-value analytics and AI opportunities.
Experience with complex product portfolios, configurable/custom products, or multi-category commercial environments.
Hands-on experience implementing AI-driven methods within data science workflows.
Excellent communication skills with the ability to align technical insights to business priorities.
Ability to communicate effectively in English, both verbally and in writing (Required)
Previous experience supporting teams globally with a focus on North America (Preferred)
Experience with pricing analytics, elasticity modeling, promotional analysis, or revenue optimization (Preferred)
Prior work in growth, revenue strategy, commercial analytics, or similar functions (Preferred)
Proficiency in Python, R, or comparable languages for advanced modeling (Preferred).

Benefits

Annual base salary range: BRL 235,000 - 319,000
Bonus target range: 25%
Enjoy our Flexible Time Off (FTO) program designed to support work–life balance
Generous benefits package
A company culture that prioritizes internal development and professional growth

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

SQLGoogle BigQuerypredictive modelingsegmentation frameworksoptimization analysesAI techniquesmachine learningdata pipelinesPythonR

Soft Skills

communication skillsbusiness judgmentanalytical thinkingcollaborationproactive identificationnarrative synthesiscultural buildingalignment of insightsclarity in objectivestailoring messages