About this role
The role will use data analytics, statistical analysis, forecasting, data modelling and business intelligence techniques to identify trends, operational issues and commercial opportunities and provide actionable insights to support strategic and operational decision-making. The company aims to use data-driven analysis to reduce operational and business waste, improve profitability and support informed decisions regarding future business development, diversification and potential expansion into new products, services, markets or related sectors.
Key Responsibilities
- Analyse sales, inventory, customer and operational data to identify trends, issues and improvement opportunities.
- Determine what data is needed to answer a given operational or commercial question, and source it from EPOS, stock, supplier and financial systems.
- Analyse the results and present findings, options and recommended actions to management and directors.
- Monitor KPIs, sales performance, product performance and stock turnover.
- Develop management reports, KPI dashboards and business intelligence reports using Excel, Power BI, Tableau, SQL and Python.
- Conduct demand forecasting and analyse seasonal purchasing and consumer behaviour.
- Analyse stock-turnover and shrinkage data to identify patterns and recommend improvements to stock-control processes . Conduct market research and competitor analysis to inform management recommendations . Gather business requirements and translate business needs into actionable recommendations.
- Analyse business processes and workflows to identify opportunities for efficiency and process improvement.
- Work with management, operational and technical stakeholders to implement data-driven improvements.
- Support business intelligence, digitalisation and analytical projects.
- Use data modelling, predictive analysis and statistical techniques to support business planning and forecasting.
- Qualifications, Skills, Knowledge & Experience Required Bachelor's or Master's degree in Data Analytics, Business Analytics, Computer Science, Supply Chain Analytics, Engineering, Business or a related discipline.
- Relevant experience in Business Analysis, Data Analytics, Business Development, Retail Operations or a similar analytical role.
- Strong analytical and problem-solving skills.
- Proficiency in SQL, Python, Excel, Power BI and/or Tableau.
- Experience with KPI monitoring, data visualisation, reporting and forecasting.
- Knowledge of business operations, inventory management and/or supply chain processes.
- Ability to gather requirements, analyse business problems and provide practical recommendations.
- Strong communication, stakeholder-management and teamwork skills.