At a Glance
- Tasks: Drive automation and data-led improvements using AI tools across global teams.
- Company: Join RS Group, a leader in digital merchandising and content optimisation.
- Benefits: Enjoy competitive pay, performance bonuses, and family-friendly policies.
- Other info: Diverse and inclusive workplace with excellent career growth opportunities.
- Why this job: Make a real impact by enhancing customer experiences with cutting-edge technology.
- Qualifications: 5+ years in digital merchandising, strong skills in SQL, Python, and AI solutions.
The predicted salary is between 45000 - 55000 ÂŁ 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, we’ve just introduced a number of new Family Friendly Policies:
- Help for people to take control of ongoing health conditions such as diabetes or asthma with ÂŁ500 a year available for monitoring & consultation
- Support for neurodiverse colleagues and families 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.
RS Group is an Equal Opportunity Employer that values diversity and inclusion. All qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, national origin, age, disability, or any other protected status.
Data Analyst (AI and Automation) in Corby employer: RS UK & Ireland
Contact Detail:
RS UK & Ireland Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst (AI and Automation) in Corby
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with professionals on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data analysis projects, especially those involving AI and automation. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by practising common questions related to data analysis and automation. Be ready to discuss your experience with SQL, Python, and any AI tools you've used. Confidence is key!
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Data Analyst (AI and Automation) in Corby
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 align with what we're looking for!
Showcase Your Projects: Include specific projects where you've applied automation or AI-driven solutions. This helps us understand your hands-on experience and how you can contribute to our team right away.
Be Clear and Concise: When writing your application, keep it clear and to the point. Use bullet points for key achievements and avoid jargon unless it's relevant. We appreciate straightforward communication!
Apply Through Our Website: Don't forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. We can't wait to hear from you!
How to prepare for a job interview at RS UK & Ireland
✨Know Your Data Tools
Make sure you brush up on your SQL, Python, and any experience with AI tools like Microsoft Copilot. Be ready to discuss how you've used these technologies in past roles, especially in relation to data extraction and automation.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled complex problems using data-driven solutions. Think about specific instances where you've improved processes or enhanced customer experiences through automation and AI.
✨Understand the Business Context
Familiarise yourself with RS Group's goals and how the Data Analyst role fits into their strategy. Be prepared to discuss how your work can contribute to their ambition of being the first choice for customers worldwide.
✨Communicate Effectively
Practice explaining technical concepts in a way that non-technical stakeholders can understand. Strong communication skills are key, so think about how you can present your ideas clearly and confidently during the interview.