
Data Driven Financial Strategist
3 days ago
Drive strategic financial analysis and decision-making by leveraging advanced data modeling, analytical control frameworks, and business acumen.
- Acquire, structure, and analyze complex financial and operational data sets to inform business strategies.
- Develop and maintain dynamic revenue and expense models, as well as analytical tools to identify trends and predict performance outcomes.
- Provide reporting on business unit performance, focusing on revenue and applying statistical methods to interpret underlying business drivers.
Key Responsibilities:
Revenue Management- Evaluate and monitor revenue across product segments using advanced analytics and data modeling.
- Apply statistical analysis and data science techniques to assess volume trends, customer usage behavior, and market dynamics to forecast revenue and pinpoint opportunities for optimization.
- Develop robust forecasting models using historical patterns, vendor invoices, and volume trends. Apply predictive analytics, AI/ML based forecasting to monitor variance and how actuals are tracking to proposed forecasts.
- Contribute to identifying business unit opportunities and challenges for enhanced performance. Collaborate with leaders to Identify and quantify performance drivers, business models, and gaps through advanced data analytics. Identify new business models and workflows, contributing to building business cases for necessary investments and strategic plans.
- Represent the organization by actively developing comprehensive knowledge of products, industry trends, and business and financial acumen. This includes effective communication in various formats, upholding corporate values, fostering positive relationships with customers and colleagues, and maintaining a reputation for competence, integrity, and professionalism.
- Minimum: Bachelor's degree in finance, accounting, or data analytics/data science or economics.
- Preferred: Master's Degree/MBA in finance or Data Science or economics.
- 4 years of experience in an analytical finance, data science, or business intelligence role.
- Minimum Experience/Knowledge: Finance, Data Science/Analytics, or consulting experience, including:
- Proven experience in financial and data analytics, with exposure to predictive modeling, scenario planning, and performance measurement.
- Self-motivated individual who can work independently and manage deadlines.
- Comfortable with ambiguity and able to navigate unclear situations.
- Flexibility/adaptability: Understand different levels of detail needed for different audiences and adapt accordingly.
- Strong written and verbal communication skills.
- Able to write documents seen at the highest levels of the organization. Strong grammar, spelling, and general ability to write bullets is a must.
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