Job Title: Business Intelligence Analyst
Location: London (Hybrid working available)
Salary: £50,000

Why Apply?
Are you interested in joining an Insurtech Unicorn Shaping the Future of Insurance?

Our client is a fast scaling Insurtech Unicorn that's revolutionising the insurance space through technology, data, and innovation. With millions in revenue already generated through cutting edge digital products and brand new initiatives in the pipeline, this is the perfect opportunity for a results driven, commercially sharp BI professional ready to take on real impact.

You'll be part of a growing data team and play a crucial role in building out the company's BI capability. Working with modern tooling like Looker, Snowflake, and dbt, you'll help define what great looks like for analytics at scale in a regulated, high growth environment.

Responsibilities:

• Develop, maintain, and optimise self serve dashboards and reports to track core business metrics across teams.
• Conduct ad hoc analysis to support business questions, hypothesis testing, and problem solving, presenting findings in an accessible format.
• Collaborate with analytics engineers and data engineers to ensure data quality, usability, and documentation within data pipelines and modelling tools.
• Partner with stakeholders to understand their data needs, foster trust in analytics outputs, and deliver training or documentation to improve data literacy.
• Identify opportunities to streamline data workflows and reporting processes, implementing automation where possible to reduce manual effort.

Requirements:

• 2+ professional experience in BI, data analytics, or a related analytical role.
• Proficiency in SQL for querying data and experience with BI platforms such as Looker, Tableau, or Power BI.
• Strong curiosity and ability to find patterns and tell stories through data visualisation and clear communication.
• Organised with excellent time management skills, able to handle multiple priorities with accuracy and attention to detail.
• Excellent interpersonal and communication skills, capable of explaining technical concepts to non-technical stakeholders.
• Enthusiastic about leveraging AI and automation technologies to enhance analytical workflows and efficiency.

We are an equal opportunities employer and welcome applications from all suitably qualified persons regardless of their race, sex, disability, religion/belief.