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 empower organizations with in-depth and reliable data on thousands of products and services, establishing ourselves as the go-to resource for businesses aiming for growth. With our expertise, clients can confidently make strategic and bold decisions.
Role Overview
The Finance Data Scientist is pivotal in transforming how Finance, Operations, and Commercial teams harness data for decision-making. This hybrid role combines extensive financial knowledge with advanced analytics, data modeling, and visualization skills. The position supports structured reporting and analytical problem-solving, ensuring the organization has precise, credible, and forward-looking insights. This role emphasizes collaboration with FP&A, Finance, Data Engineering, Data Product Management, HR/Reward teams, Sales Operations, and senior business leaders to modernize financial reporting, optimize forecasting, and develop scalable analytical tools that enhance business acumen. A crucial aspect of this position is to bridge the gap between Finance and Technology/Data teams, ensuring that financial logic and controls are integrated into data products and reporting systems. The ideal candidate is a confident presenter who can effectively communicate, collaborate, and secure buy-in from diverse stakeholders.
Key Responsibilities
- Lead and execute financial analysis, modeling, and scenario planning.
- Support FP&A cycles, including budgeting, forecasting, and performance evaluations.
- Create and enhance Power BI dashboards (Power Query, DAX, strong data modeling) that serve as reliable sources of truth for revenue, cost, margin, headcount, and operational KPIs.
- Develop predictive and statistical models (e.g., regression, classification, anomaly detection, clustering) to optimize forecasting and operational performance.
- Translate business rules and financial logic into robust, governed data models while embedding reconciliation logic and financial controls within data pipelines.
- Collaborate closely with FP&A, Finance, Data Engineering, Data Product Management, HR/Reward, Sales Operations, and senior leadership on impactful analytical projects and ad hoc problem resolution.
- Automate data refreshes and reporting pipelines, transforming manual reporting into reliable and repeatable processes.
Qualifications
Financial Expertise
- ACCA / CIMA / ACA qualified or part qualified strongly preferred.
- Proven understanding of forecasting, budgeting, and cost/margin analysis.