Data Scientist, Revenue Analyst

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🕒 May 13

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TAXWELL

1 - 10 employees

Founded 2003

Niche players, quality segment, over 20 years experience in international and national tax and corporate matters, tax and corporate lawyers, Supreme Court litigation, ex-Big4, close cooperation with renowned arbitrators and foreign counsel, autonomous steady growth

📋 Description

• 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.

🎯 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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