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Collaborate with leaders across Sales, Operations, and Finance to evaluate revenue performance and support decisions related to pricing and growth opportunities
Examine sales patterns, customer purchasing activity, pricing outcomes, and product mix to identify meaningful trends and recommend practical actions
Build and maintain revenue forecasts, budgeting tools, and reporting structures that improve visibility across regions and business units
Contribute to initiatives focused on expanding revenue by supporting customer segmentation, margin evaluation, and profitability reviews
Develop advanced financial and statistical models using large, multi-source datasets to inform planning and strategic decision-making
Prepare dashboards, KPI reports, and analysis summaries that help stakeholders monitor business performance and revenue drivers
Translate complex analytical findings into clear business insights for cross-functional teams and leadership audiences
Requirements:
Bachelor’s degree in Finance, Statistics, Economics, Data Engineering, or a related field is preferred
Prior experience in revenue analysis, pricing analysis, financial planning, or a similar analytical function is preferred
Advanced proficiency in Microsoft Excel, including lookup functions, indexing techniques, and pivot tables
Strong capability in financial modeling, forecasting, and working with large datasets from multiple data sources
Demonstrated problem-solving skills with the ability to identify trends, interpret results, and recommend actions
Knowledge of sales analysis, KPI reporting, pricing models, and customer behavior analysis
Ability to work independently, manage competing priorities, and succeed in a fast-paced business environment