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For Companies At a Glance
- Tasks: Lead data analytics strategy and manage a team to drive commercial growth.
- Company: GSF Car Parts is a top UK automotive parts distributor with over 194 branches.
- Benefits: Enjoy a collaborative culture, competitive salary, and opportunities for professional growth.
- Why this job: Make impactful data-driven decisions in a dynamic environment while leading a passionate team.
- Qualifications: 10+ years in data analytics, strong leadership skills, and proficiency in SQL and data visualisation tools.
- Other info: Experience in automotive or fast-moving consumer goods preferred.
The predicted salary is between 43200 - 72000 £ per year.
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.
- Experience: 10+ years in data and commercial analytics, with significant experience in data strategy and leadership. Experience in automotive, high-volume distribution or fast-moving consumer goods is preferred.
- 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 194 branches nationwide and a turnover exceeding £500 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 2021. 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.
Head of Data Analytics and Data Science employer: GSF Car Parts Limited
Contact Detail:
GSF Car Parts Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Head of Data Analytics and Data Science
✨Tip Number 1
Familiarise yourself with GSF Car Parts and their market position. Understanding their business model and the automotive industry will help you tailor your discussions during interviews, showcasing your knowledge of how data analytics can drive their commercial growth.
✨Tip Number 2
Highlight your experience in leading data analytics teams. Be prepared to discuss specific examples where your leadership has directly contributed to improved performance or insights, as this role requires strong team management and mentorship skills.
✨Tip Number 3
Brush up on your technical skills, especially in SQL, Excel, and data visualisation tools like Power BI or Tableau. Being able to demonstrate your proficiency in these areas will be crucial, as the role demands hands-on analytical capabilities.
✨Tip Number 4
Prepare to discuss your approach to cross-functional collaboration. This role involves working closely with various departments, so having examples ready that illustrate your ability to engage stakeholders and address their analytics needs will set you apart.
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 highlights relevant experience in data analytics and leadership. Focus on your achievements in previous roles, especially those that align with the responsibilities outlined in the job description.
Craft a Compelling Cover Letter: Write a cover letter that showcases your understanding of GSF Car Parts and how your skills can contribute to their data analytics strategy. Mention specific examples of how you've driven commercial growth through data insights in past positions.
Highlight Technical Skills: Emphasise your proficiency in SQL, Excel, and data visualisation tools like Power BI or Tableau. Provide examples of projects where you successfully used these tools to derive insights or improve processes.
Showcase Leadership Experience: Detail your experience in managing teams and cross-functional projects. Highlight your ability to mentor others and foster a collaborative environment, as this is crucial for the role of Head of Data Analytics.
How to prepare for a job interview at GSF Car Parts Limited
✨Showcase Your Strategic Vision
As the Head of Data Analytics, it's crucial to demonstrate your ability to define and lead a data analytics strategy. Prepare examples of how you've aligned analytics initiatives with business goals in previous roles, and be ready to discuss how you would approach this at GSF.
✨Highlight Your Technical Expertise
Make sure to emphasise your proficiency in advanced analytical methods, SQL, Excel, and data visualisation tools like Power BI or Tableau. Be prepared to discuss specific projects where you've successfully utilised these skills to drive insights and decision-making.
✨Demonstrate Leadership and Team Management Skills
Since you'll be managing a team of data analysts, it's important to convey your leadership style and experience. Share examples of how you've mentored teams, fostered collaboration, and ensured that your team delivers valuable insights to support commercial functions.
✨Prepare for Cross-Functional Collaboration
Given the role's emphasis on working with senior management and various departments, be ready to discuss your experience in cross-functional projects. Highlight how you've effectively engaged stakeholders to identify analytics needs and drive data-driven decisions across an organisation.
