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
· 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.