Are you passionate about transforming data into meaningful business insights? We are looking for a commercially minded Data Analyst to join our Finance team and play a key role in driving data-driven decision-making across the business.
In this role, you will analyse sales, financial and operational data, develop insightful dashboards and reports, identify trends and opportunities, and provide actionable recommendations that support strategic decision-making. Working closely with Sales, Marketing, Finance and Operations, you will help optimise business performance through advanced analytics and business intelligence.
If you thrive on solving complex business challenges through data and want to make a measurable impact in a dynamic FMCG environment, we'd love to hear from you.
- Bachelor's Degree in Data Science, Statistics, Mathematics, Business Analytics, Information Systems, Economics or a related field.
- Minimum of 5 years' experience in Data Analytics, Business Intelligence or Commercial Analytics within an FMCG environment.
- Advanced proficiency in Microsoft Excel and Power BI (or a similar BI platform).
- Strong analytical, problem-solving and commercial acumen.
- Experience analysing large datasets and translating data into actionable business insights.
- Excellent communication and stakeholder management skills.
- Experience with SQL and AI-enabled analytics tools will be advantageous.
- Analyse sales, financial, customer and operational data to identify trends, risks and business opportunities.
- Develop, maintain and automate dashboards, reports and business intelligence tools.
- Produce accurate daily, weekly and monthly commercial and financial reports.
- Provide actionable insights to support strategic business and commercial decision-making.
- Analyse pricing, promotions, margins, customer profitability and product performance.
- Partner with Finance, Sales, Marketing, Supply Chain and Operations to meet reporting and analytical requirements.
- Ensure data accuracy, integrity and consistency through effective data governance practices.
- Develop and maintain reporting standards, data validation processes and master data.
- Support budgeting, forecasting and performance analysis through data-driven insights.
- Present findings and recommendations to management and key stakeholders.
- Identify opportunities to improve reporting processes through automation, business intelligence and AI technologies.
- Support strategic projects and continuous improvement initiatives across the business.
- Provide technical support and guidance to users on reporting platforms and dashboards.
