Overview:
The Commercial Analyst is responsible for delivering data-driven insights that support pricing strategies, business performance tracking, and commercial decision-making. This role focuses on advanced analytics, dashboard development, and performance reporting to enhance visibility into revenue, margins, and operational efficiency. The position requires strong analytical capabilities, attention to detail, and the ability to translate data into actionable business insights.
Key Responsibilities:•Analyze commercial data to provide insights on revenue, profitability, pricing, and business performance•Develop and maintain interactive dashboards and reports to support leadership decision-making•Support pricing strategies by analyzing cost structures, margins, and competitive benchmarks•Monitor and track key performance indicators (KPIs) across business units and offerings•Identify trends, risks, and opportunities through data analysis and present actionable recommendations•Collaborate with sales, finance, and business teams to align on reporting requirements and insights•Support forecasting, budgeting, and financial planning activities with analytical inputs•Ensure data accuracy, consistency, and integrity across reporting systems•Automate reporting processes and improve data visualization and analytics capabilities•Contribute to continuous improvement of commercial analytics frameworks, tools, and methodologies
Qualifications:
Education:•Bachelor’s degree in Finance, Economics, Business Administration, Data Analytics, or a related field•Professional certifications in analytics or finance (e.g., CFA, CMA, or data analytics certifications) are a plus
Experience:•2–6 years of experience in commercial analytics, financial analysis, business intelligence, or related roles•Experience working with large datasets and developing dashboards and reports•Exposure to pricing analysis, revenue management, or performance tracking is preferred•Experience in industries such as technology, consulting, or services is a plus
Skills & Competencies:•Advanced proficiency in Excel (financial modeling, data analysis)•Experience with BI tools (e.g., Power BI, Tableau)•Familiarity with data analysis tools/languages (e.g., SQL, Python) is a plus•Understanding of financial metrics, KPIs, and commercial models•Experience with ERP/CRM systems is an advantage