data analyst for revenue intelligence
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- Monitor revenue and profit trends across diverse e-commerce dimensions
- Build automated detection systems and frameworks for performance anomalies, early warning signals and degradation drivers
- Conduct root-cause analyses and apply causal inference methods to distinguish correlation from causation
- Quantify factor contributions to revenue shifts and evaluate commercial initiatives such as pricing strategies and category launches
- Communicate analytical findings to cross-functional partners and present actionable insights to senior leadership
- Utilize advanced tools, data processing models and modern analytics technologies to improve productivity and workflow automation
- Develop predictive models and analytical frameworks
- Pitch independent ideas and influence commercial outcomes Требования:
- 5–7 Years of experience in economic analysis, revenue management, or financial planning and analysis (FP&A)
- Degree in Economics, Data Science or a related quantitative field
- Strong proficiency in SQL for advanced data extraction and transformation
- Fluency in Python for data analysis, statistical modeling and analytical processing
- Understanding of statistics, econometrics, time series forecasting, regression and segmentation
- Excellent communication and data storytelling skills
- Ability to explain complex technical concepts to non-technical stakeholders
- Proactive mindset, collaborative approach and strong problem-solving skills
- Professional fluency in English
- Nice to have: experience in e-commerce, retail or tech Условия:
- Competitive salaries based on professional experience
- Stable employment in a fast-growing international company
- 25 Working days of annual vacation and 1 additional day off on your birthday
- Day off on Municipality day and Carnaval
- Meal Allowance (8 euros per working day)
- Fidelidade Healthcare Plan with discounted coverage options for partners and children
- Mental Wellbeing Program through the OpenUp platform
- AUTODOC corporate discount on car parts for personal use
- Exclusive retail discounts via the Benefits at Work portal
- Learning & Development with over 650 courses on the company e-learning platform
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