Commercial Data Analyst Chadwicks Group, part of the esteemed Grafton Group Plc, holds the prestigious position as a leading force in the builder's merchanting industry throughout the Republic of Ireland. Its foundational operations are rooted in the well-established Builders Merchants division, where renowned brands like Chadwicks, Cork Builders Providers, Davies, and Telfords have become trusted names for quality products and services.
Beyond its core, the Group has embraced growth and diversification, skillfully augmenting its brand family through thoughtful acquisitions and natural growth. This strategic expansion has introduced a suite of complementary brands — Heitons Steel, Panelling Centre, Morgans Timber, Proline, and Sitetech — each offering a distinct selection of products that enrich Chadwicks Group's portfolio. This blend of time-honoured tradition and modern expansion strategies underlines Chadwicks Group's prominence in the industry, ensuring it remains at the forefront of innovation and customer satisfaction.
Principle Objective Reporting to the Head of Category, the Commercial Data Analyst is responsible for collecting, processing, and performing statistical analyses on large datasets. They will discover how data can be used to answer questions and solve problems related to buying, procurement, and category analysis in the context of the company's goals and strategies.
Knowledge & Experience Degree in Data Science, Statistics, Mathematics, Economics, Computer Science, Information Management, or a related field. Proven experience in data analysis, buying, procurement, or category analysis. Strong analytical skills with the ability to collect, organise, analyse, and disseminate significant amounts of information with attention to detail and accuracy. Proficiency in data analysis tools and software. Knowledge of statistics and experience using statistical packages for analysing datasets. Experience in report writing and presenting findings. Understanding of the buying process and supply chain management. Familiarity with sustainability reporting and financial analysis. Key Responsibilities Utilise advanced data analysis techniques to support the buying team, enhancing decision-making processes with timely and accurate insights. Perform detailed analysis of category data, including sales performance, pricing trends, and market dynamics to identify actionable opportunities for revenue growth and cost optimisation. Analyse supplier performance metrics to evaluate effectiveness and identify potential areas for improvement or renegotiation. Develop and maintain financial models to assess the profitability of products and suppliers, contributing to the overall financial strategy. Generate regular reports on sustainability metrics, providing a data-driven approach to support the company's sustainability goals and initiatives. Collaborate with IT to support data integration efforts, ensuring seamless data flow across various systems and platforms for more efficient analysis. Work closely with cross-functional teams, including finance and IT, to ensure data consistency and to support the implementation of system improvements. Translate complex data findings into understandable, actionable reports and presentations for stakeholders at all levels of the organisation. Continuously seek to improve data collection and analysis processes, implementing best practices in data management and analytics. Stay abreast of industry trends and advancements in data analysis tools and techniques, recommending and implementing new technologies as appropriate. Essential Competencies Strong analytical and problem-solving skills. Excellent verbal and written communication abilities. Detail-oriented with a knack for accuracy. Proactive and self-motivated with a results-driven approach. Strong organisational and time management skills. Ability to work collaboratively in a team environment. Innovative thinking with a focus on continuous improvement. Key Performance Measures Accuracy and Timeliness of Insights: Measure the precision of data analysis and the speed at which insights are delivered to the buying team, impacting decision-making processes. Impact on Revenue Growth and Cost Reduction: Evaluate the effectiveness of data-driven recommendations on increasing revenue and reducing costs, as reflected in financial performance indicators. Enhancement of Data Systems: Track the successful integration and enhancement of data systems, measuring the reduction in data processing time and the increase in data accuracy. Stakeholder Satisfaction: Gauge the satisfaction levels of cross-functional teams with the data analysis support provided, including the clarity and usefulness of reports and presentations. Team & Budget Team Size – Forms part of the wider category team Direct Reports – 0 Budget Responsibility – Analysis of €xxx buying Contract Type Permanent full time Full time 39-hour contract Working week Monday to Friday (Hybrid 3 days office, 2 days WFH) Our Benefits Include Level 3 Role Competitive Basic Salary Competitive Performance Related Bonus Private Health Care Sick Pay Scheme Paid Maternity and Paternity Leave Pension Scheme Colleague Saving Scheme Profit Share Scheme Colleague Discount Educational Assistance Wellness initiatives
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