National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Head of Data Analytics and Data Science

GSF Car Parts
Wolverhampton
1 month ago
Applications closed

Related Jobs

View all jobs

Senior Data Scientist - London

Head of Analytics and Data Science

Head of Data Science & Measurement

Managing Consultant - Transport - Data Science

Data Science Analyst

Head of Data Science and Analytics

About The Role

As the Head of Analytics, you will be responsible for overseeing GSF’s data analytics and management information strategy, ensuring that data insights fuel our trading and commercial growth.


Reporting to the Head of FP&A and working directly with the senior leadership team, you will work cross-functionally with different departments to support data-driven decisions. As part of this, you will manage a small team of data analysts. The analysis produced by your team will help optimize pricing and margins, product selection, operational efficiency and market insights to drive commercial performance.

About You

Key Responsibilities


· Strategic Analytics Leadership: Define and lead the data analytics strategy to support the business’ commercial functions, aligning analytics initiatives and reporting structure with overall business goals and market conditions.


· Growth and Margin Optimization: Oversee the development of channel, pricing and margin analysis and reporting, using historical data, market trends and advanced analytics techniques to optimize trends.


· Market and Portfolio Insights: Drive insights into market trends, regional performance, customer behaviour and competitive intelligence to support informed front-line commercial decision-making across the organization.


· Performance Measurement: Develop and monitor key performance indicators (KPIs) for trading and commercial success, adjusting strategies based on data-driven insights.


· Data Integration and Warehousing: Working closely with the IT team, spearhead the integration and enrichment of data from multiple sources into streamlined reporting structures. Lead efforts in data consolidation, quality-control and visualization to enable timely and actionable insights.


· Team Leadership: Manage, mentor, and grow a team of data analysts, fostering a culture of analytical rigor and collaboration. Ensure the team provides valuable insights to the trading and commercial functions.


· Collaboration and Stakeholder Engagement: Work closely with senior management and cross-functional teams to identify and address analytics needs across the organization.


Key Qualifications

· Technical and Analytical Skills: Proficient in advanced analytical methods and data modelling, with strong hands-on experience of SQL, Excel, and data visualization tools and reporting tools such as Power BI, Tableau, or similar.


· Data Science: Experience in working with data scientists or generative AI consultants to create business AI strategies or solutions is preferred.


· Project Management: Proven track record in managing cross-functional projects, particularly involving complex data environments.


· Leadership Skills: Experience in managing and developing a team, with excellent communication skills and a collaborative approach to problem-solving.


· Commercial Acumen: In-depth understanding of commercial drivers, pricing, margin analysis, and differing channel strategies.

About Us

GSF Car Parts is one of the UK’s leading automotive parts distributors, supplying thousands of independent garages throughout the UK and Ireland with parts, tools, garage equipment and specialist training. The group has over branches nationwide and a turnover exceeding £ million. Built on the heritage and success of a dozen local brand identities acquired over several years, we have traded as one brand since November 1. Our branch network is bolstered by centralised support and expertise from specialist departments in key areas such as procurement and supply chain, marketing and national accounts. The business also benefits from integrated IT systems, which include our industry leading catalogue system, Allicat, and access to the Group's national garage programme, Servicesure.

#INDGSF

National AI Awards 2025

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Part-Time Study Routes That Lead to AI Jobs: Evening Courses, Bootcamps & Online Masters

Artificial intelligence (AI) is reshaping industries at an unprecedented pace. From automating mundane tasks in finance to driving innovation in healthcare diagnostics, the demand for AI-skilled professionals is skyrocketing. In the United Kingdom alone, AI is forecast to deliver over £400 billion to the economy by 2030 and generate millions of new jobs across sectors. Yet, for many ambitious professionals, taking time away from work to upskill can feel like an impossible ask. Thankfully, part-time learning options have proliferated: evening courses, intensive bootcamps and flexible online master’s programmes empower you to learn AI while working. This comprehensive guide explores every route—from short tasters to deep-dive MScs—showcasing providers, course formats, funding options and practical tips. Whether you’re a career changer, a busy manager or a self-taught developer keen to go further, you’ll discover a pathway to fit your schedule, budget and goals.

Top 10 Mistakes Candidates Make When Applying for AI Jobs—And How to Avoid Them

Avoid the biggest pitfalls when applying for artificial intelligence jobs. Discover the top 10 mistakes AI candidates make—plus expert tips and internal resources to land your dream role. Introduction The market for AI jobs in the UK is booming. From computer-vision start-ups in Cambridge to global fintechs in London searching for machine-learning engineers, demand for artificial-intelligence talent shows no sign of slowing. But while vacancies grow, so does the competition. Recruiters tell us they reject up to 75 per cent of applications before shortlisting—often for mistakes that could have been fixed in minutes. To help you stand out, we’ve analysed thousands of recent applications posted on ArtificialIntelligenceJobs.co.uk, spoken with in-house talent teams and independent recruiters, and distilled their feedback into a definitive “top mistakes” list. Below you’ll find the ten most common errors, along with actionable fixes, keyword-rich guidance and handy internal links to deeper resources on our site. Bookmark this page before you hit “Apply”—it could be the difference between the “reject” pile and a career-defining interview.