Data Analyst
Role details
Job location
Tech stack
Job description
RS Group is looking for a Data Analyst to join the team on a 12-month fixed-term contract. This role will play a key part in driving automation and data-led improvements across Content and Digital Merchandising teams. You will apply modern analytical techniques, automation, and AI-driven solutions to help the business scale efficiently and deliver a consistent, high-quality global customer experience-supporting RS Group's ambition to be the first choice for customers worldwide. With significant investment already made in enterprise content systems and product data, this role is critical in unlocking the full value of that technology. You will design and implement scalable solutions to extract, map, transform, and validate product data across multiple systems, ensuring accuracy, consistency, and measurable commercial impact across global markets. What You'll Be Doing
- Use AI tools and automation techniques to extract product data from supplier and third-party sources
- Build scalable solutions to map and transform data across internal RS Group product data models and external supplier datasets across three global regions
- Leverage AI and computer vision to validate product data accuracy, consistency, and completeness
- Work closely with Digital Merchandising teams to understand customer challenges and develop data-driven solutions
- Partner with data analysts to design frameworks that measure content quality and link it to commercial performance
- Identify opportunities to simplify, streamline, and automate existing Content and Digital Merchandising processes
- Collaborate with Product and Supply Chain Data Governance teams to standardise and normalise product attribution at scale
- Analyse customer behaviour to identify key decision-making data points and develop AI-driven agents to detect missing, inaccurate, or misleading information
Requirements
You are a digital and data professional with over five years' experience across digital merchandising, content optimisation, and ecommerce performance. You specialise in leveraging data, automation, and AI-driven solutions to improve product data quality, streamline processes, and enhance customer experience across global B2B and B2C environments. You have a strong track record of working cross-functionally with merchandising, data, and technology teams to design and deliver scalable solutions that improve efficiency, accuracy, and commercial performance. You are passionate about using technology and insight to solve complex problems, automate manual processes, and create better digital experiences for customers at scale. What you'll need: Technical Skills
- Strong proficiency in SQL, Python, Snowflake, and JavaScript
- Experience building AI agents or automation solutions (Microsoft Copilot stack experience desirable)
- Experience working with Product Information Management (PIM) systems such as Stibo STEP and Syndigo Riversand
- Strong understanding of ecommerce ecosystems across both B2B and B2C environments
- Good knowledge of digital merchandising KPIs, levers, and optimisation techniques
- Understanding of marketing channels and how they influence customer behaviour and commercial outcomes
- Strong communication skills with experience presenting technical solutions and building stakeholder alignment
- Proactive in identifying opportunities to improve UX and CX through data and insight
Behavioural Skills
- Proven track record of delivering results and taking ownership of outcomes
- Strong customer-first mindset in all aspects of work
- Excellent stakeholder management skills, with experience influencing senior leaders and cross-functional teams
- Strong relationship-building skills with internal teams, suppliers, and external partners
- Self-starter with the ability to prioritise and manage workload independently in a fast-paced environment
- Comfortable making decisions with limited information while maintaining a structured approach
- Strong change management capability and experience driving adoption of new ways of working
- Ability to influence across the organisation to support a digital-first and data-driven mindset