Euromonitor International seeks a Finance Data Analyst/Scientist to transform financial decision making with advanced analytics, data modelling, and visualisation. The role supports structured reporting and ad hoc problem solving, collaborating with Finance, Operations, and Commercial teams.
Requirements
- ACCA / CIMA / ACA (or equivalent) qualified or part qualified strongly preferred
- Strong understanding of forecasting, budgeting, cost/margin analysis, financial controls, and month-end processes
- Experience in FP&A, commercial finance, operational analytics, or similar finance roles
- Advanced Power BI skills including DAX, Power Query, M-language, and data modelling
- Degree in Finance, Economics, Data Science, Mathematics, Engineering, Statistics, or similar
- Certifications in analytics, Power BI, SQL, Python, AI/ML, or cloud data platforms are an advantage
- Strong SQL skills for querying and transforming data
- Experience with Python or R for statistical analysis, modelling, and automation
- Familiarity with data lakehouse environments and modern cloud-based data platforms
- Ability to convert business rules and finance logic into structured data models
- Comfort working with APIs, large datasets, and multiple system integrations
- Strong PPT/reporting skills and extensive experience in presenting dynamically to senior company leadership level
- Predictive modelling and machine learning experience
- Familiarity with libraries such as scikit-learn, pandas, NumPy, or equivalent
- Understanding of model evaluation, feature engineering, and algorithm selection
- Excellent communication skills – able to explain & present complex data clearly to non-technical audiences and deliver the ‘so what’ to enable effective decision making
- Strong project management, able to juggle multiple priorities and deadlines
- High attention to detail and a logical, problem-solving mindset
- Ability to work independently with minimal guidance and collaborate effectively with cross-functional partners
Benefits
- Competitive salaries
- Generous holiday allowances
- Hybrid working
- Core Hours policy allowing flexible start and finish times to each day