Staff Data Analyst

Staff Data Analyst

Brazil

Analyst /

Full-time /

Remote

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This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Staff Data Analyst in Brazil.

As a Staff Data Analyst, you will play a pivotal role in transforming data into actionable insights that drive strategic decision-making across the organization. You will lead complex analytical projects, identify trends, and provide recommendations that influence business performance and growth. Working closely with business leaders, you will translate strategic priorities into analytical questions and deliver solutions using advanced statistical methods, predictive modeling, and data visualization. Your work will support a data-driven culture by promoting the adoption of insights across teams and ensuring that decisions are guided by robust, evidence-based analysis. You will operate in a dynamic, high-growth environment where collaboration, innovation, and impact are central to the role. Opportunities to design dashboards, develop predictive models, and work with large datasets will allow you to further expand your technical expertise and business acumen.

Accountabilities:

• Lead end-to-end analytical projects, defining problem statements, hypotheses, and methodology
• Develop and communicate actionable insights and recommendations to business stakeholders
• Collaborate with business partners to align analytics with strategic priorities
• Design and implement advanced analytical models, including predictive modeling and segmentation strategies
• Create compelling dashboards and visualizations to communicate findings effectively
• Promote data literacy and adoption across teams by sharing best practices and analytical knowledge
• Identify opportunities for process improvement and optimization using data-driven approaches

Requirements:

• Proven experience in data analytics with a track record of delivering impactful insights
• Strong understanding of statistical methodologies, including regression, hypothesis testing, and inference
• Proficiency in SQL and programming languages such as Python for data extraction, manipulation, and analysis
• Experience with data visualization tools; familiarity with Amazon QuickSight is a plus
• Excellent communication and presentation skills to convey complex findings to technical and non-technical audiences
• Strong problem-solving, critical thinking skills, and business acumen
• Fluent in English

Benefits:

• Health and dental plans for you and your dependents at no co-payment cost
• Life insurance with comprehensive coverage
• Meal and supermarket vouchers
• Home office allowance and flexible working hours (remote-first culture)
• Access to fitness and educational programs through well-being platforms
• Extended maternity and paternity leave, birthday off, and welcome kit with Apple equipment
• Annual bonus based on company KPIs and individual performance
• Referral program with rewards for successful hires

Why Apply Through Jobgether?

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Why Apply Through Jobgether?

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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