Data and Analytics Senior Manager
Há 7 dias
At Rooby HR, we are seeking a highly skilled and experienced Senior Manager of Data and Analytics to lead our data and analytics strategy for Brazil, with a focus on scalability across Latin America. As a key member of our team, you will be responsible for developing and executing our data and analytics strategy, ensuring data-driven decision-making across the organization, and driving business growth through advanced analytics and insights.
Key Responsibilities:- Develop and execute the Data and Analytics strategy for Brazil, aligned with the overall business objectives and Rooby HR's global organization.
- Champion the adoption of data-driven decision-making products across all business functions, including sales, finance, marketing, planning, order-to-cash, logistics, and manufacturing.
- Lead, mentor, and develop a high-performing Data and Analytics team, fostering a culture of innovation and continuous improvement.
- Oversee, support, and lead when applicable the construction and management of a robust data lake, ensuring data quality, governance, and security are maintained at the highest standards.
- Develop and enforce comprehensive data governance frameworks, including data stewardship models, data lineage tracking, metadata management, and data quality controls.
- Implement policies and procedures that ensure compliance with local regulations and other relevant privacy and security regulations across Latin America and global standards.
- Lead the development and deployment of advanced analytics initiatives, including predictive modeling, machine learning, and AI-driven solutions.
- Cloud Platforms: Expertise in Google Cloud Platform (GCP), with a deep understanding of its services, including BigQuery, Cloud Storage, and Dataflow.
- Data Engineering: Proficiency in data engineering tools and technologies such as Databricks, Talend, and Aecorsoft, with experience in building and managing data pipelines.
- Programming & Scripting: Strong skills in Python, R, and SQL for data manipulation, analysis, and machine learning model development.
- Data Visualization: Advanced knowledge of data visualization tools such as Power BI, Tableau, or Looker, with the ability to create insightful and interactive dashboards.
- Machine Learning & AI: Hands-on experience with machine learning frameworks and libraries (e.g., TensorFlow, Scikit-learn) and familiarity with deploying AI models into production.
- Data Governance & Compliance: In-depth understanding of data governance frameworks, data privacy regulations, and best practices for ensuring data security and compliance.
- Education: Bachelor's degree in Data Science, Computer Science, Statistics, Business Analytics, or a related field. Master's degree preferred.
- Experience: At least 10-12 years of experience in data and analytics, with a minimum of 5-7 years in a leadership role.
- Proven track record of developing and implementing D&A strategies and leading high-performing teams.
- Experience in managing large-scale data projects and working with cross-functional teams, including working with Regional and Global teams.
- Skills: Strong analytical and problem-solving skills, expertise in advanced analytics, predictive modeling, and AI, with a strong understanding of the tools and technologies in the field.
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