Senior Data Analyst at Pernod Ricard

Key Duties and Responsibilities

• Data Quality Assurance: Establish and monitor data quality metrics and standards. Conduct regular audits and assessments to identify data quality issues and recommend corrective actions.
• Governance Framework Development: Collaborate with cross-functional teams to design, implement, and maintain data governance frameworks that ensure compliance with regulatory requirements and industry best practices.
• Data Stewardship: Serve as a point of contact for data stewardship initiatives. Support data owners in defining data definitions, classifications, and ownership responsibilities.
• Policy Implementation: Assist in the development and dissemination of data governance policies and procedures. Ensure alignment with business objectives and regulatory requirements.
• Data Cataloging: Develop and maintain a comprehensive data catalogue that includes metadata management, data lineage, and data lifecycle management.
• Stakeholder Engagement: Work closely with business units to promote data governance best practices and ensure understanding and adherence to data policies. Provide training and support as needed.
• Analytics and Reporting: Analyze data governance metrics, prepare reports and visualization to communicate the effectiveness of data governance initiatives. Provide insights to senior management to drive continuous improvement.
• Collaboration: Partner with Tech and data engineering teams to ensure data governance is integrated into data architecture and development processes.

Key Competencies and Experience

Knowledge:

Data Governance Principles:

• Understanding of data governance frameworks (e.g., DAMA, DCAM), policies, and best practices.
• Familiarity with regulatory requirements (e.g., POPIA, GDPR) and industry standards related to data management.

Data Management Practices:

• Knowledge of data quality management, data lineage, and metadata management.
• Understanding of data architecture and database management systems.

Statistical Analysis:

• Proficient in statistical methods and techniques for analysing data quality and trends.

Data Privacy and Security:

• Awareness of data privacy regulations and security measures to protect sensitive information.

Tools and Technologies:

• Proficiency in data analysis and visualization tools (e.g., Excel, SQL, SASEG, Power BI).
• Experience with data governance tools (e.g., Collibra, Informatica).

Qualifications and Experience:

• Bachelor’s degree in Data Science, Information Management, Computer Science, or a related field. Master’s degree is a plus.
• 5+ years of experience in data analysis or data governance, with a strong understanding of data management principles.
• Proficiency in Advanced Excel, SQL, and experience with data visualization tools (e.g., Tableau, Power BI).
• Familiarity with data governance frameworks and tools, such as Collibra, Informatica, or similar.
• Strong analytical skills with the ability to interpret complex datasets and provide actionable insights.
• Excellent communication and interpersonal skills, with the ability to work effectively with diverse teams and stakeholders.
• Strong attention to detail and a commitment to data integrity and security.
• Big Data, machine learning, GenAI tools would be an advantage.