About the job
About Euromonitor International
Euromonitor International is a global leader in data analytics and market research, providing comprehensive insights into markets, industries, economies, and consumer behavior. We deliver unparalleled data on thousands of products and services, establishing ourselves as the primary resource for organizations aiming for growth. With our insights, clients are empowered to make informed, strategic decisions confidently.
About the Role
As a Finance Data Scientist, you will play a pivotal role in transforming how Finance, Operations, and Commercial teams utilize data to inform decision-making processes. This hybrid position merges deep financial expertise with advanced analytics, data modeling, and visualization skills. Your work will support both structured reporting and intricate, ad hoc problem-solving, ensuring the organization has precise, trustworthy, and forward-looking insights.
You will collaborate closely with various teams including FP&A, Finance, Data Engineering, Data Product Management, HR/Reward, Sales Operations, and senior business leaders. A significant aspect of this role is to modernize financial reporting, enhance forecasting capabilities, and develop scalable analytical products that improve business understanding. This position is vital in connecting Finance with Technology and Data teams, guaranteeing that financial logic, controls, and definitions are seamlessly integrated into data products and reporting systems. You will need to be a confident presenter, capable of communicating effectively and gaining buy-in from a diverse range of stakeholders.
Key Responsibilities
- Lead and execute financial analyses, modeling, and scenario planning.
- Support FP&A cycles, including budgeting, forecasting, and performance evaluations.
- Develop and refine Power BI dashboards (utilizing Power Query, DAX, and advanced data modeling) that serve as authoritative sources across revenue, cost, margin, headcount, and operational KPIs.
- Create predictive and statistical models (e.g., regression, classification, anomaly detection, clustering) to enhance forecasting accuracy and operational performance.
- Translate business rules and financial logic into robust, governed data models while embedding reconciliation processes and financial controls within data pipelines.
- Work closely with FP&A, Finance, Data Engineering, Data Product Management, HR/Reward, Sales Operations, and senior leaders on impactful analytical projects and ad hoc problem-solving initiatives.
- Automate reporting refreshes and pipelines, streamlining manual reporting processes into reliable and repeatable systems.

