Data Scientist, Revenue Analyst
Location
Netherlands
Posted
14 days ago
Salary
0
Seniority
Senior
Job Description
Data Scientist, Revenue Analyst
TAXWELL
• Develop and refine models aimed at increasing revenue, ranging from simple predictive models to complex data science algorithms. • Collaborate with cross-functional teams to implement models in production, ensuring alignment with business objectives. • Act as a project manager for model implementation, coordinating efforts across teams to meet deadlines and ensure successful execution. • Make business cases detailing the expected impact and cost of these data projects, and prioritize accordingly. • Analyze the impact of implemented models, providing actionable insights to enhance future strategies. • Conduct deep dives into revenue performance metrics to identify trends and opportunities for optimization. • Work closely with business partners to translate data insights into actionable strategies that drive business value. • Prepare and present findings to stakeholders, including executive management, in a clear and concise manner. • Utilize advanced data visualization tools (e.g., Tableau) to support business decisions and communicate complex data in an easily digestible format. • Maintain a proactive mindset with a hands-on approach, ready to dive into details and challenge conventional approaches.
Job Requirements
- Master’s degree in Business Analytics, Operations Research, Data Science, or a related quantitative field
- Strong foundation in data science and/statistics
- Strong experience in developing revenue optimization models, with a proven track record of driving measurable results.
- Experience building Data Science models in Python and R
- Ability to manage projects from inception to completion, coordinating across teams and delivering on time.
- Proficiency in analyzing large datasets of structured, semi-structured, and unstructured data to uncover insights.
- Expertise in SQL for complex queries and dashboard creation, supporting both ad-hoc analysis and long-term monitoring.
- Advanced skills in data visualization (e.g., Tableau), capable of creating dashboards that inform and influence business decisions.
- Excellent communication skills, with the ability to present complex information clearly and persuasively to stakeholders at all levels.
- A proactive, independent thinker with a strong "can-do" attitude and the confidence to challenge the status quo.
- Ability to deliver insights with creativity and pragmatism, ensuring a clear understanding of their implications for the business.
Benefits
- Health insurance
- 401(k) matching
- Flexible work hours
- Paid time off
- Remote work options
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