Data & Analytics Senior Manager

2 meses atrás

São Paulo SP, Brasil Rooby HR Tempo inteiro

As Senior Manager of Data & Analytics, you will spearhead the development and execution of our data and analytics strategy for Brazil, with a focus on scalability across Latin America, ensuring data-driven decision-making across the organization, and driving business growth through advanced analytics and insights.

Key Responsibilities:

  • Develop and execute the Data & Analytics strategy for Brazil, aligned with the overall business objectives and MDS D&A 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 & 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.

Technical Competencies:

  • 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.

Qualifications:

  • 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.
  • Experience in Google Cloud, Databricks, Talend, and Aecorsoft or similar tools.
  • Proficiency in data management tools and technologies (e.g., SQL, Python, R, Power BI).
  • Excellent communication and presentation skills, with the ability to convey complex data insights to non-technical stakeholders.
  • Strong leadership and team management skills, with a focus on mentoring and developing talent.
  • Cross-functional experience in key business processes, including sales, marketing, planning, order-to-cash, logistics, and manufacturing.

This position is affirmative for women.

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