Website Euromonitor International
Established in 1972, Euromonitor International is the world leader in strategy research for consumer markets. Comprehensive international coverage and leading edge innovation make our products an essential resource for companies locally and worldwide. As an independent company, we offer unmatched de… read moretail and unbiased content for every region, country, category and channel. From socio-economic context to intimate detail on the smallest products or markets, Euromonitor provides market research focused on your organisation’s needs. Our extensive network of strategic analysts in 80 countries provides the depth of global, national and local business information required in today’s increasingly international business environment. Our global industry specialist team also ensures the international consistency of our research. Emerging countries or developed economies: we identify the next opportunity before anyone else. With offices around the world, analysts in 80 countries and market research on every key trend and driver, we give you powerful access to the real story behind consumer change. 1 Waterford Place, Century Boulevard, Century City, Cape Town 7441, Republic of South Africa
Role Purpose
The Finance Data Analyst / Scientist plays a central role in transforming how Finance, Operations, and Commercial teams leverage data to drive decision making. This hybrid position blends deep financial expertise with advanced analytics, data modelling, and visualisation/presentation capabilities. The role supports both structured reporting and highly analytical, ad hoc problem solving, ensuring that the organisation has accurate, trusted, and forward-looking insight. This hybrid position blends deep financial expertise with advanced analytics, data modelling, and visualisation skills, ensuring that the organisation has accurate, trusted insight.
The role will collaborate closely with FP&A, Finance, Data Engineering, Data Product Manager, HR/Reward teams, Sales Ops, Senior Business Leaders and other business partners. A key focus is to modernise financial reporting, streamline forecasting, and build scalable analytical products that enhance business understanding. This role is critical in bridging Finance with Technology and Data teams, ensuring that financial logic, controls, and definitions are correctly embedded in data products and reporting systems. The role requires a confident presenter able to communicate, collaborate and gain buy in across a wide variety of stakeholders.
Key Responsibilities
Financial & Business Insight
Deliver advanced financial analysis, modelling, and scenario planning.
Support FP&A cycles, including budgeting, forecasting, and performance reviews.
Translate complex datasets into actionable recommendations for senior leadership.
Provide insight across revenue, cost, margin, headcount, and operational KPIs.
Support people analysis to ensure we understand our cost base and are able to report/forecast/scenario plan efficiently to a high standard.
Advanced Analytics & Data Science
Support the building of predictive, statistical, and machine learning models to support forecasting and performance analysis.
Use techniques such as regression modelling, clustering, forecasting algorithms, anomaly detection, and classification.
Work with large datasets across Finance, Operations, Commercial, and People/Reward functions.
Apply analytical thinking to solve ad hoc and strategic business challenges.
Data Visualisation & Automation
Develop robust Power BI dashboards using Power Query, DAX, and strong data modelling practices.
Enhance and maintain existing dashboards including financial performance, workforce planning, sales compensation, and operations insight.
Build automated data refresh processes and reporting pipelines.
Translate business requirements into intuitive, high impact dashboards.
Data Interpretation, Mapping & Governance
Validate and map data from core systems including Dynamics 365 Finance, Salesforce, and SaaS billing platforms.
Own and maintain finance KPI definitions, ensuring alignment across reporting tools.
Embed reconciliation logic, audit requirements, and financial controls within data pipelines.
Work closely with Data Engineering to ensure models are scalable, well documented, and governed.
Ad Hoc Projects & Cross Functional PartneringFunctional Partnering
Lead and manage analytical projects spanning FP&A, Commercial, Ops, HR/Reward, and Tech.
Support the business with modelling for compensation, sales commissions, workforce analytics, bonus modelling, and scenario analysis.
Collaborate with stakeholders to refine project objectives, timelines, and deliverables.
Support monthly, quarterly, and annual modelling cycles (e.g., bonus files, salary review models, workforce dashboards).
Contribution to Data Strategy
Champion the evolution of finance data architecture and reporting standards.
Identify opportunities for automation and operational efficiency.
Promote data literacy within Finance and the wider business.
Collaborate with the Data Product Manager to define data requirements and analytics priorities.
Key Skills & Experience
Finance Expertise
ACCA / CIMA / ACA qualified or part qualified strongly preferred.
Strong understanding of forecasting, budgeting, cost/margin analysis, financial controls, and monthend processes.
Experience in FP&A, commercial finance, operational analytics, or similar finance roles.
Experience in producing dashboards & recommendation-led analysis covering people data/analytics including variable compensation (bonuses/commissions/annual pay reviews)
Technical & Analytical Skills
Advanced Power BI skills including DAX, Power Query, Mlanguage, 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.
Proactive in using, testing and benefiting from AI both in terms of efficiency, but also proactive analysis/improvements to support business growth.
Data Science Capability
Predictive modelling and machine learning experience.
Familiarity with libraries such as scikitlearn, pandas, NumPy, or equivalent.
Understanding of model evaluation, feature engineering, and algorithm selection.
Soft Skills
Excellent communication skills – able to explain & present complex data clearly to nontechnical 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.
What Success Looks Like in This Role
Delivery of high quality, timely insights that drive decision making.
Power BI dashboards become trusted sources of truth across the organisation.
Predictive and analytical models materially improve forecasting and operational performance.
Finance logic and data definitions are consistently applied across systems.
Ability to automate and reduce manual reporting to improves accuracy.
Strong, productive relationships built across Finance, Research, Ops, Sales, Data Engineering, and HR/Reward.
Clear, well documented data models and processes that futureproof reporting.
Effective handling of ad hoc analytical projects with clarity, structure, and measurable impact.
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