HubSpot CRM & Business Analytics Manager

A growing financial and legal services business based in Liverpool is seeking a dynamic and technically experienced Hub Spot CRM Manager & Business Analytics Specialist to optimise their Hub Spot CRM platform, automate workflows, and support business performance analysis. You will be an essential part of the team, leveraging Hub Spot’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 Hub Spot, coupled with business analytics knowledge, will be key to supporting cross-functional projects and integrating Hub Spot with other business tools via APIs. This role is hybrid (ideally 2 days a week in the Liverpool office, but a more hybrid arrangement i.e. 2 days per month in the office would be considered) and is paying £70,000-£85,000 DOE plus other good benefits.

Key Responsibilities:

Hub Spot CRM Configuration & Automation Hub Spot 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 Hub Spot portals, including Hub Spot Marketing Hub, Sales Hub, and integrations. Proven track record of designing and managing Hub Spot lifecycle stages, sales pipelines, and workflows to meet evolving business needs. Strong ability to design and create dashboards, reports, and attribution models within Hub Spot. Proficiency in interpreting data to provide actionable business insights, monitor key performance indicators (KPIs), and measure the effectiveness of workflows and automation.

Knowledge of Hub Spot’s API, with experience implementing integrations between Hub Spot 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.