Manager (DMA) (Temp Contract) [POD]

We are looking for a skilled Data Management and Analysis Manager who can transform complex data into actionable insights. This role combines technical expertise with strategic thinking to drive data-informed decision-making across the organisation.

Key Responsibilities: 1) Data Management and Quality • Ensure that data collected is accurate, clean, and well-organised. • Manage all stages of data handling—from collection to validation and preparation for use. • Maintain and update databases to ensure data integrity. • Support data migration and other related projects as needed. 2) Dashboard Development and Maintenance • Develop and maintain user-friendly dashboards and visual reports that clearly present key business information. • Collaborate with various teams to translate data into actionable insights. • Continuously seek and implement innovative ways to enhance dashboard functionality and user experience. 3) Process Improvement and Automation • Identify opportunities to streamline and automate data processes to improve efficiency. • Translate business needs into clear data and reporting requirements. 4) Data Requests and Governance • Assess and respond to data requests from different teams promptly and accurately. • Ensure all data sharing complies with security standards and company policies. • Regularly review and refine data sharing workflows to improve accessibility and compliance. 5) Data Analysis and Reporting • Analyze data to identify trends and patterns relevant to business operations. • Prepare clear, concise reports and share insights to support operational improvements. • Communicate findings effectively to stakeholders to aid informed decision-making.

Job Requirements: Knowledge: • Strong understanding of data management principles and best practices. Proficiency in data analysis tools, especially Microsoft Excel (including advanced functions and pivot tables). • Familiarity with data visualization tools (e.g., Power BI, Tableau) and/or Robotic Process Automation (RPA) is a strong advantage. • Basic knowledge of data governance, security standards, and compliance requirements. Skills: • Excellent analytical and numerical skills, with the ability to interpret complex data sets and extract meaningful insights. • Competent in creating clear, effective dashboards and visual reports that cater to different business users. • Strong written and verbal communication skills to explain data findings to non-technical audiences. • Good collaboration skills, able to work effectively with cross-functional teams and external stakeholders. • Problem-solving skills with a continuous improvement mindset. Aptitudes and Abilities: • Detail-oriented and meticulous in managing and validating data to ensure accuracy and reliability. • Able to work independently, manage priorities, and meet deadlines with minimal supervision. • Demonstrates initiative in identifying opportunities for process automation and improvement. • Comfortable working with large datasets and adapting to changing business requirements. • Willingness to learn and keep updated on emerging data tools and technologies.