Mon–Fri | Hybrid | Bonus Eligible |

We’re seeking a Data & Automation Analyst to join our Technology and Operations Improvement team. This role combines data analysis, automation development and process improvement to increase efficiency, reduce cost and enhance the customer experience across warehouse, transport and customer service functions.

What you'll get:

• Competitive salary appropriate to role level (£27,851.20 per annum)

• Pension scheme provided by Legal & General

• Life Assurance and access to Medicash for health and wellbeing support

• Employee discounts and product offers

• Learning and development, with clear progression pathways into data engineering, automation or analytics leadership roles

The role:

• Design, develop and maintain data pipelines, dashboards and reports to support operational decision-making and performance measurement

• Develop automation solutions (RPA, scripts, ETL jobs) to remove manual tasks and improve process throughput across warehouse, transport and customer service teams

• Work with cross-functional stakeholders (operations, planning, IT, supply chain) to translate business problems into analytics and automation deliverables

• Analyse operational data (OTIF, throughput, returns, shrinkage, vehicle utilisation) to identify root causes and recommend data-driven improvement actions

• Create and maintain clear technical documentation, data dictionaries and runbooks to ensure solutions are supportable and auditable

• Implement and maintain data quality controls and monitoring to ensure reliable insights and automation outcomes

• Support deployment and change management activities, including testing, user training and post-implementation reviews

• Produce concise management reports and visualisations for senior stakeholders to inform strategy and operational planning

• Champion continuous improvement and best practice in data engineering, analytics and automation across the business

Who we’re looking for:

• Proven experience in data analysis, automation development or business intelligence within operations, logistics or related environments

• Practical skills in SQL and experience with at least one scripting or programming language (Python, R, or similar)

• Experience building dashboards and visualisations using tools such as Power BI, Tableau or Looker

• Familiarity with ETL concepts, data warehouses and cloud data platforms is desirable

• Knowledge of automation technologies (RPA tools, workflow automation, API integration) and a track record of delivering automation projects

• Strong analytical mindset with attention to detail and the ability to present complex information clearly to non-technical stakeholders

• Excellent communication and collaboration skills with a pragmatic, hands-on approach

• Experience of working with operational KPIs (throughput, OTIF, delivery performance) and driving process improvement through data

• Self-motivated, organised and able to manage multiple priorities in a fast-paced environment

Working hours, location and flexibility:

• Full-time role with standard business hours; flexible start/finish times available