Conduct data discovery with business areas, identifying pain points, needs, and opportunities
Conduct interviews and meetings with business stakeholders to gather requirements
Map and document business processes and area objectives, and translate them into technical requirements
Create and manage the data product backlog for the technical team (engineers and developers)
Translate unstructured business needs into business questions, data tables, and technical specifications
Act as a bridge between technical and business language, ensuring effective communication across areas
Collaborate with data engineering teams to ensure deliveries align with business needs
Design and validate data visualization solutions (dashboards), reports, and other analytical products
Occasionally perform hands-on development of dashboards and reports as needed
Support cultural change to adopt data-driven solutions in place of spreadsheets

Experience with Business Intelligence (BI) and business requirements gathering
Proficiency in SQL for data analysis and exploration
Experience with ERPs (preferably SAP)
Ability to perform data discovery and exploratory data analysis (EDA)
Data literacy and ability to communicate insights clearly and effectively
Experience working with stakeholders from different areas (business, data, infrastructure)
Ability to translate business problems into technical solutions
Ability to work collaboratively in cross-functional teams

Health and dental insurance
Meal and food allowance
Childcare assistance
Extended parental leave
Partnerships with gyms and health and wellness professionals via Wellhub (Gympass) and TotalPass
Profit sharing (PLR)
Life insurance
Continuous learning platform (CI&T University)
Employee discount club
Free online platform dedicated to promoting physical and mental health and well-being
Pregnancy and responsible parenthood course
Partnerships with online course platforms
Language learning platform
And many more

Mid Level Data Analyst

Key skills