A growing financial and legal services business based in Liverpool is seeking a dynamic and experienced HubSpot CRM Manager & Business Analytics Specialist to optimise their HubSpot CRM platform, automate workflows, and support business performance analysis. You will be an essential part of the team, leveraging HubSpot’s capabilities to refine CRM configurations, design robust automation systems, and drive data-driven insights.
You will work closely with various teams to ensure smooth CRM operations, enable data flows across systems, and continuously improve processes to drive growth and efficiency. Your expertise in HubSpot, coupled with business analytics knowledge, will be key to supporting cross-functional projects and integrating HubSpot with other business tools via APIs.
This role is hybrid (ideally 2 days a week in the Liverpool office) and is paying £70,000-£85,000 DOE plus other good benefits.
Key Responsibilities:
- HubSpot CRM Configuration & Automation
- HubSpot Workflow Creation, Troubleshooting & Optimisation
- Business Analytics & Reporting
- API Integrations & Cross-Functional Collaboration
- User Support & Training
- Stakeholder Engagement & Collaboration
Essential Experience:
- 3+ years of hands-on experience implementing, managing, and optimising HubSpot portals, including HubSpot Marketing Hub, Sales Hub, and integrations. Proven track record of designing and managing HubSpot lifecycle stages, sales pipelines, and workflows to meet evolving business needs.
- Strong ability to design and create dashboards, reports, and attribution models within HubSpot. Proficiency in interpreting data to provide actionable business insights, monitor key performance indicators (KPIs), and measure the effectiveness of workflows and automation.
- Knowledge of HubSpot’s API, with experience implementing integrations between HubSpot and other business systems (CRM, ERP, customer support tools, etc.).
- Basic scripting or coding knowledge, preferably in Python, JavaScript, or R, to support automation and system integration efforts.
- Familiarity with AI-based solutions for data automation and analysis is a plus.