Manager, Data Analytics and Reporting

• Proficiency in Data Management Tools: Expertise in data warehousing, business intelligence, and data visualization tools.
• Data Architecture: Strong understanding of database architecture and data modeling.
• Data Analytics: Ability to develop and maintain data analytics capabilities, including data visualization, reporting, and dashboards.
• Data Security: Implementing data security measures to protect sensitive data.
• Data Quality: Developing and implementing data quality control processes to ensure data accuracy, completeness, and consistency.
• Programming Skills: Proficiency in programming languages such as Python or R for developing custom visualizations.
• Business Acumen: Understanding of business operations and data-driven decision-making.
• Communication Skills: Ability to communicate complex technical information to non-technical stakeholders.
• Project Management Skills: Ability to manage multiple projects simultaneously, prioritize tasks, and meet deadlines.
• Analytical Skills: Ability to analyze complex data sets, identify trends, and make data-driven recommendations.
• Collaboration: Working closely with various departments to meet their specific data needs.
• Compliance: Ensuring compliance with regulations such as GDPR, HIPAA, or other relevant standards.

• Experience in data reporting and visualization in mining/heavy industry
• 8+ years BI/visualization experience
• Expert knowledge of: Modern BI platforms and tools, Data visualization best practices, SQL and data modeling, Mining operations metrics
• Strong understanding of UX/UI design principles
• Stakeholder management and communication skills
• Change management experience.
• Business process understanding
• Effective communication and presentation skills to effectively convey data-driven insights to stakeholders.
• Understanding of the business domain to provide relevant insights and recommendations.
• Effective communication skills with the ability to convey complex technical concepts to both technical and non-technical stakeholders.
• Analytical and problem-solving skills, with the ability to derive insights and opportunities from data.
• Basic project management skills to plan, execute, and deliver data science projects on time and within scope.
• Ability to deal with ambiguity in an agile way, adjusting to shifting business needs and priorities.