Accountabilities:

The role is responsible for developing data-driven solutions, improving commercial intelligence processes, and supporting internal stakeholders with meaningful insights.

• Develop and enhance management reports, dashboards, and analytical tools to support business decision-making.
• Analyze market and business data, providing critical insights and translating information into actionable recommendations.
• Maintain and improve processes within the area, ensuring continuous optimization and updated procedures.
• Conduct studies to identify sales growth opportunities across customer distribution channels.
• Ensure the accuracy and consistency of business rules applied to key performance indicators managed by the area.
• Support internal clients by understanding their needs, analyzing requirements, and proposing solutions that generate value.
• Document business rules, data requirements, process flows, acceptance criteria, and improvement opportunities.
• Collaborate with business and technical teams to deliver efficient analytics and automation solutions.

Requirements:

The ideal candidate has a strong analytical mindset, experience working with data and business intelligence tools, and the ability to transform complex information into strategic recommendations.

• Bachelor’s degree completed in Computer Science, Information Systems, Engineering, Business Administration, Statistics, Economics, or related fields.
• Experience with data analysis, KPI development, and identifying opportunities for business process improvement.
• Knowledge of SQL for data querying, analysis, and manipulation.
• Experience with BI and analytics tools such as Power BI or similar platforms.
• Experience with automation and productivity tools, including Power Automate, Python automation, RPA, or equivalent solutions.
• Strong knowledge of tabular cube development.
• Experience organizing, processing, and analyzing structured and unstructured data to generate insights.
• Ability to document business processes, data needs, and improvement opportunities clearly.
• Familiarity with agile methodologies and collaborative work with business areas and technical teams.
• Experience with corporate data platforms such as Data Lake, Databricks, Cloud Azure, or similar solutions is a plus.

Benefits:

• Fully remote work model with planned in-person meetings in São Paulo when required.
• Flexible working hours from Monday to Friday, with adjustable start and end times.
• Meal allowance.
• Food allowance.
• Full coverage for eligible medications.
• Pharmacy benefit program.
• Profit-sharing program based on company results.
• Flexible benefits package including life insurance, private pension plan, healthcare, dental care, and additional food support.
• Transportation support options, including parking, transportation allowance, or company shuttle when applicable.
• Opportunities for professional development in a collaborative and innovation-focused environment.