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Commercial Analyst
Job in
Tamworth, Staffordshire, B79, England, UK
Listed on 2026-02-06
Listing for:
Proprec
Full Time
position Listed on 2026-02-06
Job specializations:
-
Business
Business Analyst, Data Analyst
Job Description & How to Apply Below
Your salary will be between £33,000 to £40,000 depending on experience. Benefits include: 31 days holiday including Bank Holidays, Paycare - A Healthcare Cash Plan (Discounts available and access to a 24-hour Doctor), Access to Employee Assistance Programme (EAP), and up to 5 days extra unpaid holiday available at a salary sacrifice and 2x life assurance. Hours of work: 8:30 am to 5:00 pm Monday to Friday - please note this is an office-based position.
Working as the Commercial Analyst, you will:
- Assess the commercial viability of new products, focusing on target pricing, costs, margins, and forecasts
- Analyse product performance, measuring progress against targets, market performance, and ROI to inform future planning
- Monitor stock levels, identify slow-moving or at-risk lines, and recommend corrective actions to reduce obsolete stock risk
- Gather and manage market data in collaboration with the sales team, ensuring reliable insights for product launches and ongoing performance reviews
- Maintain accurate system data, including customer price files, promotions, and pricing adjustments
- Provide support across the Commercial Department, collaborating with product development, marketing, purchasing, and customer service teams
- Contribute to cross-departmental projects that support overall business strategy
- Strong commercial awareness and analytical skills, with the ability to interpret data and identify key trends to support strategic decisions
- Excellent project management skills to ensure analytical initiatives are aligned with business goals, delivered on time, and create measurable impact
- A high level of attention to detail, ensuring accuracy across all analysis and reporting
- Flexibility and adaptability to change, with the ability to integrate new ways of working quickly and effectively
- Strong self-management skills, with the ability to prioritise workloads and deliver within agreed time frames
- Effective communication skills, with the ability to adapt messaging for different audiences and contexts
- Strong problem-solving ability, identifying opportunities for improvement and developing practical, efficient solutions
- Proficiency with data analysis tools such as Power BI (or similar platforms)
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