Responsibilities Data Reporting and Analysis: - Design and develop comprehensive MI reports and dashboards to meet business needs. - Conduct advanced data analysis to identify trends and insights that support strategic decision-making. - Collaborate with business units to understand reporting requirements and deliver custom reports. Data Governance and Integrity: - Ensure the accuracy, consistency, and security of all management information. - Support data governance efforts by implementing data quality standards and controls. - Work with data owners to monitor data quality and initiate corrective measures as needed. Advanced Data Visualisation: - Utilise advanced data visualisation tools (e.g., Power BI, Tableau) to create intuitive and insightful reports and dashboards. - Present data findings in a clear and impactful manner, helping to inform key business decisions. Compliance and Data Security: - Ensure all management information complies with relevant data privacy and security regulations (e.g., POPIA). - Support data classification efforts and manage access controls to protect sensitive data. Programming and Data Automation: - Use programming languages such as SQL, Python, and R to automate data extraction, transformation, and reporting processes. - Develop and optimise automated reporting solutions to streamline management information processes. Collaboration and Stakeholder Engagement: - Collaborate with teams across the business to understand their information needs and provide tailored insights. - Act as a subject matter expert in MI, offering training and support to colleagues on reporting tools and data analysis techniques. Continuous Improvement: - Stay updated on industry trends and advancements in data reporting, visualisation, and analytics. - Continuously seek opportunities to enhance reporting processes, tools, and data quality Requirements: - Bachelors degree in a relevant field (e.g., Information Management, Data Science, Business Analytics). - Strong expertise in SQL and advanced proficiency in Microsoft Excel. - Experience with data visualisation tools (e.g., Power BI, Tableau) and creating impactful reports. - Proficiency in Python or R for data analysis and automation. - Excellent analytical and problem-solving skills with a strong attention to detail. - Familiarity with data governance principles and compliance requirements (e.g., POPIA). - Strong communication skills, with the ability to convey complex data insights to non-technical stakeholders. - Experience in Salesforce is an advantage. Should you not receive a response within 10 working days, please consider your application as unsuccessful
