Data Analyst

Data Analyst

Temporary 35000 - 45000 ÂŁ / year (est.) No home office possible
RS Group

At a Glance

  • Tasks: Drive automation and data-led improvements using AI and modern analytical techniques.
  • Company: Join RS Group, a leader in digital merchandising and content solutions.
  • Benefits: Enjoy competitive pay, family-friendly policies, and support for health conditions.
  • Other info: Fast-paced environment with opportunities for personal and professional growth.
  • Why this job: Make a real impact on global customer experience with cutting-edge technology.
  • Qualifications: Proficient in SQL, Python, and experienced in building AI solutions.

The predicted salary is between 35000 - 45000 ÂŁ per year.

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.

Responsibilities

  • 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.

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.

Benefits

In addition to standard employee benefits, RS Group offers the following 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.

Data Analyst employer: RS Group

RS Group is an exceptional employer that prioritises innovation and employee growth, making it an ideal place for a Data Analyst to thrive. With a strong focus on automation and data-led improvements, employees benefit from a collaborative work culture that encourages creativity and the use of cutting-edge technology. The company also offers generous family-friendly policies and significant investment in employee development, ensuring a rewarding and supportive environment for all team members.
RS Group

Contact Detail:

RS Group Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Data Analyst

✨Tip Number 1

Network like a pro! Reach out to current employees at RS Group on LinkedIn and ask about their experiences. A friendly chat can give you insider info and might just get your foot in the door.

✨Tip Number 2

Show off your skills! Prepare a mini-project or case study that showcases your data analysis prowess. Bring it up during interviews to demonstrate how you can add value to the team.

✨Tip Number 3

Be ready to discuss real-world applications of your skills. Think about how you've used SQL, Python, or AI tools in past projects and be prepared to share those stories during your interviews.

✨Tip Number 4

Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're genuinely interested in joining the RS Group team.

We think you need these skills to ace Data Analyst

SQL
Python
Snowflake
JavaScript
AI Tools
Automation Techniques
Product Information Management (PIM)
Ecommerce Ecosystems
Digital Merchandising KPIs
Data Analysis
Communication Skills
Stakeholder Management
Change Management
Customer Behaviour Analysis
Problem-Solving Skills

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! Use it to explain why you're passionate about data analysis and how you can contribute to RS Group's goals. Keep it engaging and relevant to the job description.

Showcase Your Projects: If you've worked on any relevant projects, make sure to mention them! Whether it's building AI agents or automating processes, we love to see real examples of your work and the impact it had.

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. Plus, it shows you're keen to join our team!

How to prepare for a job interview at RS Group

✨Know Your Data Tools

Make sure you brush up on your SQL, Python, and any experience with Snowflake or JavaScript. Be ready to discuss how you've used these tools in past projects, especially in relation to automation and AI-driven solutions.

✨Understand the Business Context

Familiarise yourself with RS Group's goals and how data analytics can drive improvements in digital merchandising. Think about how your skills can help enhance customer experience and support their ambition to be a top choice for customers worldwide.

✨Prepare for Technical Questions

Expect questions that dive deep into your technical expertise, especially around building AI agents or working with PIM systems. Have examples ready that showcase your problem-solving skills and how you've tackled challenges in previous roles.

✨Showcase Your Communication Skills

Since this role involves collaborating with various teams, be prepared to demonstrate your ability to communicate complex data insights clearly. Share experiences where you've influenced stakeholders or presented technical solutions effectively.

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