Sales Analyst

We seek an analyst with mandatory expertise in Salesforce (SFDC) plus knowledge management to enhance our pre-sales performance and sales efficiency in the AI and maritime technology sector. This role involves in-depth analysis and reporting on sales activities, integrating CRM with other systems, and contributing to AI solution development through market and customer insights. The ideal candidate will possess analytical, technical, and project management skills, with experience in the technology or maritime industry.

Responsibilities:

1. Key Resp Pre-sales Performance Analysis: Analyse pre-sales activities and performance metrics, identifying areas for improvement and reporting on key findings.
2. Data Analysis and Reporting: Conduct comprehensive sales and pre-sales data analysis within Salesforce and other platforms. Generate insightful reports to guide business decisions. Improve our KPIs for all sales cycle activities.
3. Market and Customer Insights: Use CRM and knowledge management tools to gather and analyse market trends and customer feedback, supporting the development of AI solutions in the maritime sector.
4. Integration and Collaboration: Work with IT and other departments to integrate Salesforce with other business systems and knowledge management platforms.
5. Salesforce Analyst: Manage, customize, and maintain the Salesforce CRM to meet our sales and pre-sales needs.
6. Knowledge Management: Oversee and optimize knowledge management systems, ensuring that relevant information is accessible and updated for sales and pre-sales teams.
7. Project Management: Lead CRM-related projects, knowledge management, and pre-sales analysis, ensuring alignment with our business strategies.

Qualifications:

• Bachelor’s degree in business administration, Computer Science, Information Systems, or related field.
• Proven experience with Salesforce administration and knowledge management systems.
• Experience in analysing sales and pre-sales performance.
• Familiarity with the technology or maritime industry, with a focus on AI applications.

Skills:

• Strong analytical and problem-solving abilities.
• Effective communication and training skills.
• Collaborative mindset with the ability to work across various departments.
• Detail-oriented with a commitment to quality.
• Proficiency in data analysis and reporting tools.