Business Intelligence Analyst - Perm. Location: Liverpool (Hybrid) Role Overview This role is suited to an experienced and high-performing Business Intelligence Analyst with advanced Power BI capability, strong stakeholder engagement skills, and a proven ability to translate complex data into meaningful business insight. The successful individual will play a key role in enabling data-driven decision-making and influencing strategic and operational outcomes across the organisation. Key Responsibilities: Deliver measurable business value through the design and delivery of advanced BI solutions. Lead the development, optimisation, and automation of Power BI dashboards and reports that are scalable, insightful, and user-centric. Partner with stakeholders to understand business requirements and convert them into actionable analytics and data products. Influence senior decision-makers through clear data storytelling, visual narratives, and strategic insight. Act as a subject matter expert in Power BI, including DAX, data modelling, and visualisation best practices. Build strong, trusted relationships with cross-functional teams to ensure BI outputs align with business objectives. Contribute to the continuous improvement of BI standards, governance, tools, and ways of working. Required Experience: Expert-level proficiency in Power BI, including DAX, data modelling, and advanced visualisation techniques. Strong communication and stakeholder management skills, with the ability to influence at all organisational levels. Demonstrated experience mentoring or upskilling others in BI tools and analytical practices. Proven track record of delivering insights that support business performance and transformation initiatives. Technical Skills: Advanced Power BI development skills with clear evidence of DAX and Power Query expertise. Strong dimensional modelling capability, including practical application of Kimball methodologies. High-quality data visualisation and dashboard design skills, demonstrating innovative and effective approaches. Strong data storytelling and presentation skills with a focus on clarity and engagement. PL-300 certification - preferred. Hands-on experience with data manipulation, mining, and validation within Power BI. Proficiency in SQL for querying relational databases. Experience working with cloud platforms such as Azure or AWS. Understanding of data warehousing concepts, with exposure to tools such as Snowflake or Azure Data Factory.