Data & Analytics Engineer

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

What You'll Do

• 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

Do you have experience in Sales?, * 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

Desirable

• 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

• Competitive salary
• 26 days annual leave + bank holidays, increasing annually up to 31 days (pro rata)
• Life assurance (2x salary)
• Private Medical Insurance with Bupa
• Employer pension contribution
• Income protection
• Buy/sell holiday scheme
• Eyecare scheme (up to £80 per year)
• Retail discounts and promotions
• Reward and recognition programme
• 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.