Data & Automation Analyst
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