This is a great opportunity as a Digital & Commercial Insight Analyst based in Birmingham with some flexible working. This is a permanent role paying c.£55K with great benefits. Responsibilities Develop, maintain, and improve dashboards, tracking, guest behaviour, performance of e-CRM programmes and the attainment of KPI’s. Apply statistical methods to analyse data, validate assumptions, test hypotheses and communicate the results to stakeholders. Use advanced visualization techniques and tools such as Plotly to create interactive and dynamic data visualizations. Confident in presenting data and being able to tell the story in a way that is easy to understand. Conduct thorough analysis of multi-channel data sources to deepen the understanding of customer behaviour and identify new marketing opportunities. Work alongside the Digital Data Analyst and with Data & Analytics Manager to maintain day-to-day relationship with external agencies. Key skills Experience working within Digital Marketing and to be a strategic and analytical thinker with strong consumer insight skills. Highly numerate and enjoys keeping up with latest digital/data innovation trends. Experienced with Business Intelligence tools and dashboard creation, particularly with Power BI or with alternatives like Tableau, QlikView, or Cognos BI. Experienced in advanced SQL querying (T-SQL) for data extraction, manipulation, and modelling. Experience with SQL-based platforms such as Microsoft SQL Server, MySQL, or PostgreSQL. Familiar with data warehousing solutions like Amazon Redshift, Google BigQuery, or Snowflake. Ability to design and develop interactive dashboards and reports that meet business needs. Experienced with Python or R for data analytics and automation tasks, enhancing data processing and analysis capabilities. Excellent communication skills with the ability to articulate complex data insights and support large-scale projects involving multiple stakeholders. Familiarity with project management tools such as Jira, Trello, or Asana. Familiarity with cloud computing platforms such as AWS, Azure, or Google Cloud Platform. Demonstrated ability to think critically and solve complex problems using data-driven approaches.