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Job Details

“Do it with passion or not at all.” Rosa Nouchette Carey.
 
Sheridan Maine has partnered with an organisation in Edgbaston to recruit a Data Manager for their team. As our client progresses toward a more data-centric approach, necessitating changes to current systems and processes, they seek a data champion. This position calls for a personable individual ready to engage with team members, providing support, encouragement, and assistance as required.

Your responsibilities as the Data Manager will include:

• Manage organisation's data processes and systems
• Develop and enforce data strategies and policies for accuracy, integrity, and security
• Ensure compliance with standards and laws for secure data handling
• Provide internal support for information systems and simplify complex topics
• Improve BI processes and foster a data-driven culture
• Address data and reporting issues promptly
• Develop efficient reports for decision-making
• Identify critical data for cleansing and import into new systems
• Assist in data acquisition and database maintenance
• Support projects and oversee project delivery
• Maintain a responsible approach to health, safety, and environmental risks
• Ensure data protection compliance

• BSc in Data Analytics, Data Science, Statistics, or equivalent
• Experience in roles like Data Manager or Business Data Analyst, implementing efficient data management procedures
• Proficiency in managing data, including knowledge of data security laws and protocols
• Strong understanding of data management and administrative policies
• Experience with data management in Microsoft Dynamics and cloud environments
• Analytical skills for collecting, organising, and analysing large datasets, using statistical methods
• Knowledge of data cleaning and preparation for migration and analysis
• Collaborative work style, understanding and meeting the needs of other departments
• Problem-solving skills with a data-driven approach to business issues
• Awareness of ethical considerations in data usage, storage, and analysis
• Familiarity with AI and machine learning in data analytics