
51 - 200 employees
Founded 2016
đŒ Consulting
đ„ Healthcare
đĄïž Insurance
Consulting âą Healthcare âą Insurance
iblue is a Brazilian IT consulting firm that accelerates digital transformation for the financial sector, including banks, insurers and other financial services. The company focuses on Data & AI as its core, delivering tailored solutions across Big Data & AI, cloud & security, process integration and automation, and agile squads & engineering to improve efficiency and growth. iblue positions itself as a strategic partner offering deep technology expertise and domain knowledge to convert operational challenges into measurable business results.
đ July 25
đ§đ· Brazil â Remote
â° Full Time
đĄ Mid-level
đ Senior
đ Data Analyst
đ» Ghost score 25%
đŁïžđ§đ·đ”đč Portuguese Required
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51 - 200 employees
Founded 2016
đŒ Consulting
đ„ Healthcare
đĄïž Insurance
Consulting âą Healthcare âą Insurance
iblue is a Brazilian IT consulting firm that accelerates digital transformation for the financial sector, including banks, insurers and other financial services. The company focuses on Data & AI as its core, delivering tailored solutions across Big Data & AI, cloud & security, process integration and automation, and agile squads & engineering to improve efficiency and growth. iblue positions itself as a strategic partner offering deep technology expertise and domain knowledge to convert operational challenges into measurable business results.
âą Analyze data and generate insights to support decision-making. âą Develop and maintain dashboards, reports, and business KPIs. âą Support the maintenance and evolution of AI applications and production environments. âą Identify opportunities for process automation and optimization. âą Collaborate with business areas to turn data into strategic information.
âą Experience in business-oriented data analysis. âą Proficiency in Python, SQL, and Databricks. âą Experience with data visualization tools such as Power BI, Tableau, or similar. âą Knowledge of statistics applied to data analysis. âą Experience with Generative AI and language models (LLMs). âą Analytical skills, business acumen, and a strong interest in continuous learning. âą Hands-on experience with tools like ChatGPT, Copilot, Claude, Gemini, or similar (a plus). âą Knowledge of prompt engineering and applying AI to generate insights (a plus). âą Experience with process automation, API integrations, and RPA (a plus). âą Experience in Cloud environments (a plus). âą Familiarity with agile methodologies and data product management (a plus). âą Experience in the public sector or projects related to public health (a plus).
âą No specific benefits were mentioned.
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