Database Manager (salesforce) - Mat Cover, Fixed Term

Crm Database Manager (Salesforce Implementation Focus)

We are seeking a highly motivated and experienced CRM Database Manager with a Salesforce implementation focus. This role is crucial for maintaining the integrity, accuracy, and consistency of our customer data within our CRM system, with a particular focus on the management of data during our ongoing implementation of Salesforce. The ideal candidate will be a data-driven individual with a strong understanding of CRM principles, data migration best practices, and experience working with both legacy CRM systems and Salesforce. You will play a vital role in ensuring the continued success of our Salesforce implementation by meticulously planning and executing data migration, data cleansing, and data validation processes.

Crm Data Management & Governance

• Establish and maintain data quality standards and procedures within Salesforce.
• Develop and implement data governance policies to ensure data accuracy, consistency, and security.
• Monitor data quality metrics and identify areas for improvement.
• Perform data cleansing and deduplication activities to maintain a clean and accurate database.
• Develop and maintain data dictionaries and data flow diagrams.

Crm System Administration

• Assist with Salesforce configuration and customization to support data management requirements.
• Manage user access and permissions within Salesforce.
• Troubleshoot data-related issues and provide support to users.
• Stay up-to-date on Salesforce best practices and emerging technologies.

Reporting & Analysis

• Develop and maintain reports and dashboards to track data quality and performance metrics.
• Analyze data to identify trends and insights that can inform business decisions.
• Provide data-driven recommendations for improving data quality and efficiency.

Communication & Collaboration

• Demonstrate excellent communication skills, with fluency in English, to facilitate effective collaboration across different teams.
• Build strong relationships with cross-functional teams to ensure project goals are met.
• Lead discussions with other departments on decisions that impact data strategy. Other departments might be sales, marketing, client experience, finance, and internal products.
• Act as a liaison between technical and non-technical teams to ensure a clear understanding of data requirements and processes.