Senior Data Analytics

Role Overview

• Focus on data storytelling.
• Knowledge of Quicksight.
• Mapping of the main available data sources and structures.
• Exploration and assessment of the quality of existing data.

Requirements

• Strong experience in data engineering or analytics engineering.
• Proficiency with data exploration and modeling tools (SQL, Python).
• Ability to interpret data and produce strategic recommendations for product and business.
• Autonomy to explore data and direct your own investigative approach.
• Proactivity in seeking information, accessing data sources, documentation, and stakeholders.
• Ability to conduct interviews with key community/area stakeholders to understand pain points, needs, and opportunities.
• Good communication skills to translate technical findings into clear insights.

Tech Stack

• Python
• SQL

Benefits

• Health and dental insurance;
• Meal and food vouchers;
• Childcare assistance;
• Extended parental leave;
• Partnerships with gyms and health & wellness professionals via Wellhub (Gympass) and TotalPass;
• Profit Sharing (PLR);
• Life insurance;
• Continuous learning platform (CI&T University);
• 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