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- Tasks: Lead data transformation and analytics to drive GSF's growth and modernisation.
- Company: Join a dynamic, private-equity-backed retail business focused on innovation.
- Benefits: Competitive salary, leadership role, and opportunities for professional development.
- Why this job: Make a real impact by shaping data strategy and driving actionable insights.
- Qualifications: Strong experience in data analytics, leadership, and commercial understanding required.
- Other info: Fast-paced environment with potential for career advancement and innovation in AI.
The predicted salary is between 80000 - 100000 £ per year.
This is a high-impact leadership role at the heart of GSF Car Parts’ growth journey. As a private-equity-backed, multi-site retail business operating at pace, GSF is investing heavily in its data and analytics capability to support continued expansion and modernisation. As Head of Data & Analytics, you will lead that transformation — owning how data, insight and reporting are used across the organisation. Reporting to the Head of FP&A, you will work closely with the Executive Team and senior leaders across Commercial, Operations, Supply Chain and Finance.
You will lead a small analytics team and play a hands-on role in building trust in data, improving structure and consistency, and delivering a clear, commercially relevant single version of the truth. Your focus will be on improving data quality and governance, modernising dashboards and MI across Power BI and other reporting platforms, and embedding insight into daily commercial and operational decision-making. You will partner with cross-functional leaders to provide actionable insight across pricing, margin, volume, stock and performance, directly supporting growth and value creation. Looking ahead, you will also help shape how GSF approaches advanced analytics and AI, ensuring innovation is practical, scalable and commercially focused. This is a role for someone who enjoys operating in fast-moving environments, takes ownership, and delivers measurable impact quickly.
About You
- Strong experience leading data and commercial analytics in a multi-site, high-volume environment
- Proven ability to transform how organisations use data, insight and reporting
- Hands-on experience improving data quality, governance and consistency
- Deep commercial understanding across pricing, margin, volume, stock and performance drivers
- Strong capability in SQL, Excel and modern BI and visualisation tools such as Power BI, Tableau or similar
- Experience influencing and partnering with senior leaders and executives
- A track record of building trust in data and delivering insight that drives better decisions
- A pragmatic, delivery-focused mindset with the confidence to challenge and improve ways of working
- Exposure to advanced analytics, data science or AI initiatives (desirable)
Head of Data Analytics and Data Science employer: GSF Car Parts
Contact Detail:
GSF Car Parts Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Head of Data Analytics and Data Science
✨Tip Number 1
Network like a pro! Reach out to connections in the data analytics field, especially those who work at GSF or similar companies. A friendly chat can open doors and give you insider info that could help you stand out.
✨Tip Number 2
Show off your skills! Prepare a portfolio or case studies showcasing your past successes in data transformation and analytics. This will not only demonstrate your expertise but also give you something tangible to discuss during interviews.
✨Tip Number 3
Be ready to talk strategy! Brush up on how you've influenced senior leaders in previous roles. GSF is looking for someone who can partner with executives, so come armed with examples of how you've driven decisions through data.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you're genuinely interested in being part of the GSF team and their exciting growth journey.
We think you need these skills to ace Head of Data Analytics and Data Science
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the role of Head of Data Analytics and Data Science. Highlight your experience in leading data initiatives and how you've transformed data usage in previous roles. We want to see how you can bring that magic to GSF!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to tell us why you're passionate about data and analytics, and how your hands-on experience aligns with our goals. Show us your personality and let us know why you’re the perfect fit for this fast-paced environment.
Showcase Your Technical Skills: Don’t forget to highlight your technical prowess! Mention your experience with SQL, Excel, Power BI, or any other tools you’ve mastered. We’re looking for someone who can hit the ground running, so make sure we see your skills front and centre.
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It helps us keep everything organised and ensures your application gets the attention it deserves. Plus, it’s super easy – just a few clicks and you’re on your way!
How to prepare for a job interview at GSF Car Parts
✨Know Your Data Inside Out
As the Head of Data Analytics and Data Science, you need to demonstrate a deep understanding of data quality, governance, and how it drives decision-making. Brush up on your SQL and Power BI skills, and be ready to discuss specific examples of how you've improved data processes in previous roles.
✨Showcase Your Leadership Style
This role involves leading a small analytics team and influencing senior leaders. Be prepared to share your leadership philosophy and provide examples of how you've successfully led teams in fast-paced environments. Highlight your ability to build trust in data and deliver actionable insights.
✨Understand the Business Context
GSF Car Parts is focused on growth and modernisation. Familiarise yourself with their business model and the key drivers of performance such as pricing, margin, and stock. This will help you articulate how your data strategies can directly support their commercial goals.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving skills and ability to handle real-world challenges. Think about scenarios where you've had to improve data quality or implement advanced analytics solutions. Be ready to explain your thought process and the impact of your decisions.