Accountabilities:

Identify business challenges and growth opportunities using data analysis, customer feedback, operational indicators, and market trends, with a focus on improving customer experience and business performance.
Develop strategies, processes, policies, and tools that generate measurable customer value and provide actionable insights for product and operations teams.
Define key performance indicators (KPIs), establish relevant metrics, and build dashboards that enable teams to monitor essential business and operational performance.
Translate complex data into clear, compelling insights, communicating findings and the reasoning behind data-driven recommendations to relevant stakeholders.
Identify and evaluate product features, operational processes, and customer-facing initiatives through quantitative analysis and experimentation.
Develop data-driven policies and decision-making frameworks that support teams across commercial and operational functions.
Design and conduct quantitative and qualitative experiments to identify trends, test hypotheses, and evaluate opportunities related to customer experience, products, and business operations.
Collaborate with cross-functional teams to understand business priorities, identify opportunities for improvement, and support the implementation of data-driven initiatives.
Contribute to strategic planning by assessing operational capacity, defining performance indicators, and helping teams prioritize initiatives that deliver value to customers.
Monitor business results and continuously identify opportunities to improve processes, efficiency, and overall performance.

Requirements

Previous professional experience in Business Analysis, Business Intelligence, business development, business planning, or business operations.
Strong proficiency in SQL and Excel or Google Sheets, with the ability to extract, manipulate, analyze, and interpret business data.
Knowledge and practical experience with Databricks.
Strong data storytelling skills, with the ability to transform analytical findings into clear and compelling business recommendations.
Proven ability to make and support business decisions using data, metrics, and analytical insights.
Experience with data visualization and business intelligence tools such as Metabase, Looker, Tableau, Power BI, or similar platforms.
Strong analytical and problem-solving abilities, with attention to detail and a strategic approach to identifying business opportunities.
Excellent communication skills and the ability to present complex information clearly to both technical and non-technical stakeholders.
Ability to collaborate across multidisciplinary teams, balancing analytical rigor with business priorities and customer needs.
Proactive mindset, adaptability, and a strong interest in continuous learning and process improvement.

Nice to have:

Bachelor's degree in Engineering, Business Administration, Mathematics, Economics, Technology, or a related field.
Knowledge of data architecture and data management principles.
Experience working with payment products, financial technology, or other technology-driven business environments.
Familiarity with experimentation methodologies, business performance metrics, and strategic planning processes.

Benefits

Flexible Caju benefits card, including meal, food, mobility, healthcare, home office, culture, and education allowances.
Health insurance with no copayments.
Zenklub access, including online consultations with therapists and coaches for mental health and well-being.
Gympass membership for fitness and wellness activities.
Language-learning opportunities through a partnership with Rosetta Stone.
Recharge day (day off) to support work-life balance.
Conexa Saúde access to online medical consultations.
Childcare assistance.
Professional development opportunities through a partnership with Alura.
Fully remote work arrangement, with the flexibility to work from anywhere in Brazil.
Company-provided work equipment.
Career growth and professional development opportunities within a growing organization.

How Jobgether works

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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