CPM UKData & Analytics Engineer
Stokenchurch, United Kingdom, HP17
Hybrid working (Flexible between CPM Head Office and Home)
We're looking for a commercially minded Data & Analytics Engineer to join our Business Intelligence team. This is a client-facing role delivering high-quality analytics and actionable insight across fast-paced, commercially demanding sectors, including Consumer Electronics.
Combining strong stakeholder engagement with hands-on technical expertise, you'll respond to on-demand analytical requests, uncover trends within complex datasets, and translate data into clear, commercially relevant recommendations.
You'll also play a key role in driving automation, simplification and AI adoption, while maintaining high standards of data quality and governance
Own end-to-end delivery of Analysis & insight outputs, ensuring accuracy, quality and timeliness
Translate business questions into data-led solutions and present clear, commercially relevant recommendations
Extract, manipulate and analyse data using SQL, Excel (Power Query), Power BI and Python where applicable
Build scalable analytics solutions and maintain reliable ETL-style processes
Develop impactful Power BI dashboards and data visualisations of analysis to share with client contacts
Identify trends, risks and performance drivers within complex EPOS and sales datasets
Drive simplification, automation and AI adoption across analytics processes
Strong experience in an analytical or insight role within a fast-paced, client-facing environment
Advanced SQL skills for data extraction and interrogation
Advanced Excel skills, including Power Query and complex data manipulation
Strong experience building Power BI reports end-to-end
Experience in data engineering, ETL processes or data warehousing
Experience working with EPOS and sales data
Ability to manage multiple stakeholders and tight deadlines
Confident communicator, able to present insight to senior stakeholders
Highly organised, detail-focused and commercially aware
Python for analytics or automation
Exposure to Azure data platforms (e.g. Data Factory)
Experience with Power Apps / Power Automate
Practical application of AI within analytics
Experience in Consumer Electronics or FMCG
26 days annual leave + bank holidays, increasing annually up to 31 days (pro rata)
Private Medical Insurance with Bupa
Eyecare scheme (up to £80 per year)
Enhanced maternity and paternity leave
Hours: 9am-5.30pm Mon-Fri. The role requires some activity outside of normal working hours and or weekend working. This may include staying away from home and working unsociable hours occasionally.
We are an accredited Investors in People Gold award company and place great importance on the training and development of our people.
We work in a collaborative environment where great ideas and achievements are shared and celebrated.
CPM are an equal opportunities employer we depend on having diverse talent with a range of backgrounds, skills and capabilities.
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