Data Analyst

Castle Employment
Pocklington
1 month ago
Applications closed

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Data Analyst

Data Analyst

Data Analyst

Data Analyst

Data Analyst

Data Analyst

A fantastic opportunity has arisen for a Data Analyst to join a business in Pocklington. In this key role, you will be responsible for capturing, analysing, and reporting data to optimise supply chain efficiency, biological asset management, and commercial decision-making. This position offers the chance to provide valuable insights that drive business performance and strategic growth.  The RoleReporting to the Head of Optimisation, the Data Analyst will generate data-driven insights to enhance performance across the business. This is an excellent opportunity for a data professional to contribute to innovative projects within the food production and agriculture sector. The role is full-time and permanent, offering a salary between £35,000 - £40,000 and exciting opportunities for career development within a dynamic, forward-thinking environment. You will be involved in cutting-edge data projects that are shaping the future of food production.  Key Responsibilities:Ensure accurate and timely data capture across the entire supply chain.Develop and maintain automated data pipelines to improve reporting efficiency.Integrate data from various systems (e.g., Beefherd, HubSpot, CTS, ScotEID, Xero).Identify and resolve data inconsistencies.Develop real-time dashboards and reports to track key performance indicators (KPIs).Provide predictive analytics and forecasting to support supply chain planning.Automate manual data collection and reporting processes to enhance efficiency.Ensure data compliance with regulatory standards and support financial forecasting.Monitor GHG emissions and sustainability metrics in line with company objectives.Key Skills & Experience Required: Essential:Strong analytical skills with experience in data analysis, reporting, and forecasting.Proficiency in Excel, SQL, Power BI, or similar reporting tools.Experience in data automation and system integration.Ability to extract, clean, and interpret data from multiple sources.Strong communication skills to translate data into actionable insights.Desirable:Experience in the food manufacturing sector.Proficiency with ERP systems, CRM (HubSpot), and financial software (Xero)

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