At a Glance
- Tasks: Drive automation and data-led improvements using AI tools across global teams.
- Company: Join RS Group, a leader in engineering solutions with a commitment to innovation.
- Benefits: Enjoy competitive pay, performance bonuses, private healthcare, and family-friendly policies.
- Other info: Be part of a diverse team that values curiosity and creativity.
- Why this job: Make a real impact by enhancing customer experiences through data and automation.
- Qualifications: 5+ years in digital merchandising and strong skills in SQL, Python, and AI solutions.
The predicted salary is between 45000 - 55000 £ per year.
Location: Hybrid (Corby, London or Manchester)
Contract: Fixed-Term (12 Months)
RS Group is looking for a Data Analyst (AI and Automation) 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
About you:
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
The extras you’ll get:
At RS, as well as the usual employee benefits you’d expect from a FTSE listed company, including annual performance bonus, enhanced maternity and paternity leave, private healthcare, in the UK&I, we’ve just introduced a number of new Family Friendly Policies including:
- Help for people to take control of ongoing health conditions such as diabetes or asthma with £500 a year available for monitoring & consultation
- Support for neurodiverse colleagues and families with neurodiverse members with needs assessment, diagnosis and post-diagnostic support for autism spectrum, ADHD and Tourette’s syndrome
- Support for women at different life stages from streamlined fertility support through to diagnosis and monitoring of both endometriosis and menopause
- Helping our LGBTQ+ community through enhanced coverage for trans colleagues, including voice coaching, facial surgery, and gender confirmation surgery
- Additions to fertility coverage including IVF for lesbian couples and information/support around surrogacy and adoption for all.
We are RS. At RS we’ve been solving engineering problems for over 80 years: big ones, small ones, easy and difficult ones. We turn the ‘what ifs’ into the ‘why nots’, the impossible into the possible.
Our purpose? Making amazing happen for a better world.
We offer service and product solutions. We send out a parcel every 2 seconds, to over 130 countries. We provide over 700,000 in-stock and over 3 million unstocked products to more than 1.2 million customers.
We want people like you, as you are curious about things, you like doing things differently and also in a human way with empathy. Because that’s exactly how we partner with people – our customers, suppliers, colleagues and communities – to solve problems.
We’ll also invest in your development and wellbeing – because building a more diverse and inclusive culture, being ethical, responsible, and committed to our Environment, Social and Governance (ESG) action plan is at the heart of everything we do.
Come and join us and we’ll help you to think big, do more and unleash your brilliance, so you do amazing things too.
Data Analyst (AI and Automation) employer: RS Group
Contact Detail:
RS Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst (AI and Automation)
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Prepare for interviews by practising common questions and showcasing your skills. Use real-life examples from your experience to demonstrate how you've tackled challenges and delivered results. Remember, confidence is key!
✨Tip Number 3
Don’t just apply and wait! Follow up on your applications with a friendly email to express your enthusiasm. It shows initiative and keeps you on their radar. Plus, it’s a great way to ask about the next steps in the hiring process.
✨Tip Number 4
Check out our website for the latest job openings and resources. We’re all about helping you land that dream role, so make sure you’re applying through us to get the best support and opportunities tailored to your skills!
We think you need these skills to ace Data Analyst (AI and Automation)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Analyst role. Highlight your experience with SQL, Python, and any AI tools you've used. We want to see how your skills match what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Share your passion for data and automation, and explain how you can help us improve our customer experience. Keep it engaging and relevant to the job description.
Showcase Your Achievements: Don’t just list your responsibilities; showcase your achievements! Use numbers and examples to demonstrate how you've made an impact in previous roles. We love seeing results-driven candidates!
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s straightforward and ensures your application goes directly to us. Let’s make this happen together!
How to prepare for a job interview at RS Group
✨Know Your Tech Inside Out
Make sure you brush up on your SQL, Python, and JavaScript skills before the interview. Be ready to discuss how you've used these tools in past projects, especially in relation to AI and automation. This will show that you're not just familiar with the tech but can apply it effectively.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled complex data challenges in previous roles. Highlight specific instances where you've used AI-driven solutions to improve processes or customer experiences. This will demonstrate your ability to think critically and innovate.
✨Understand the Business Context
Familiarise yourself with RS Group's goals and how the Data Analyst role fits into their vision. Be prepared to discuss how your work can contribute to their ambition of being the first choice for customers worldwide. This shows that you're aligned with their mission and ready to make an impact.
✨Engage with Stakeholders
Since this role involves collaboration with various teams, think about how you've successfully managed stakeholder relationships in the past. Be ready to share strategies you've used to influence decisions and drive alignment across different departments.