**Description:** At Eduzz, the right information at the right time drives decisions that transform businesses and people. If you are passionate about connecting data, strategies, and impactful research, this position could be your next big challenge. **Your day-to-day responsibilities:** Develop and lead strategic analyses that drive company growth and diverse improvements in areas such as monetization, partnership evaluation, and process performance, organizing and using data (Big Data or other sources) and AI technologies to generate insights for your own analyses, as well as for senior leadership and company clients. Support the regulation and development of data governance, analytical data architecture, and system integration, contributing to ensuring a reliable, complete, and organized data environment. Responsibilities and duties Conduct management and strategic analyses, with or without Big Data, including: **o Internal KPIs:** correlation/causality analyses, proposals for new KPIs **o New businesses / partnerships:** business cases, valuations **o Company products:** pricing \& monetization analyses **o Customer services:** analyses of company customers' interests Structure and implement MLOps pipelines to develop, train, and monitor machine learning models that deliver value to management and customers. Define and regulate analytical data governance, ensuring quality, security, and compliance in the datasets used. Translate complex insights into practical recommendations for internal stakeholders and clients, promoting data\-driven decision-making. Regulate indicator nomenclature and the architecture of data tables at a strategic level, aligning them with the company's management needs and business objectives. Verify, support, and approve system integrations, promoting speed, consistency, and reliability of integrated data. Develop models and processes to efficiently scale community impact, utilizing, when appropriate, tools and automations based on AI to optimize reach and personalization. Requirements and qualifications Bachelor’s degree in Engineering, Mathematics, Statistics, or related fields. Minimum of 4 years of experience in roles related to data science, analytics, or data engineering. **Proficiency in data analysis tools and techniques (e.g.:** Python, R, SQL) and Big Data frameworks, when applicable. Knowledge of machine learning Proficiency in statistics and its application in management. Basic knowledge of data architecture and governance Advanced Excel **Familiarity with strategic frameworks (e.g:** SWOT, NPS, CSAT, Journey Analysis); Experience in data\-driven cultures and cross-functional collaboration across multiple teams; Experience with system integration projects. 2511210202471822606