Data is at the heart of this client's impactful decisions. They are looking for a Data Analyst who can turn raw data into powerful insights that drive success.If youre passionate about analysis, love to solve complex challenges, and enjoy working in a collaborative, high-energy environment, wed love to meet you The Benefits: Training and carer development Friendly work environment Pension scheme Access to discounts and wellbeing support Opportunity to purchase extra holiday Discounted share scheme Discounted local gym membership Death in service insurance Additional holiday with service About the Role As a Data Analyst within this manufacturing company, you will play a crucial role in transforming data into actionable insights. Youll work closely with cross-functional teams, including Finance, Product, and Operations, to provide analytical support, and influence key production and spend decisions. What Youll Do Data Analysis & Visualization : Draw down data from company systems and analyse within MS Excel to create visualisations that you are then able to translate and communicate to colleagues and leadership. Business Insights : Identify trends, track performance metrics, and provide actionable recommendations to optimise production processes. Data Quality & Maintenance : Ensure data integrity by monitoring and validating data and proactively identifying inconsistencies and anomalies. What Were Looking For Analytical Skills : A knack for diving deep into data to uncover patterns and insights. Experience : experience within an analytical or related SQL, Power BI Technical Proficiency : Experience with SQL, Python, and data visualization tools such as Tableau, Power BI, or Looker. Communication : Strong written and verbal skills; capable of presenting findings to non-technical audiences. Detail : Capable of working to a high degree of accuracy when looking at large volumes of complex data. Why Join? Impactful Work : Your work will directly shape the decision-making of the department and help to drive growth cost savings. Collaborative Environment : Work with a team of passionate, high-performing professionals. Work-Life Balance : Hybrid working model if preferred.