1. Financial Forecasting & Budgeting:
- Develop and maintain sophisticated financial models that capture key revenue drivers such as subscription renewals, client churn rates, and new customer acquisition.
- Collaborate with the commercial and product teams to ensure budgeting aligns with revenue targets and cost structures, considering the scalability of digital and AI-driven services.
- Monitor client contract terms, pricing structures, and multi-region revenue streams to improve financial projections and identify risks/opportunities.
- Perform scenario analysis for new product launches, pricing adjustments, and market expansion.
- Prepare rolling forecasts to adjust financial projections based on real-time business performance and external market trends.
2. Financial & Business Performance Analysis:
- Track and analyze key financial and operational metrics such as Customer Lifetime Value (CLV), Cost Per Acquisition (CPA), and Gross Margin per product line.
- Conduct revenue leakage analysis by assessing billing cycles, discount structures, and unpaid invoices.
- Work closely with commercial teams to evaluate contract profitability, pricing models, and client retention strategies.
- Provide ROI analysis on marketing campaigns and business development initiatives to optimize spending efficiency.
- Identify cost optimization opportunities, particularly in data acquisition, content processing, and AI-driven analytics tools.
3. Data Analytics & Strategic Decision Support:
- Develop automated financial dashboards that provide real-time insights into revenue, expenses, and operational KPIs.
- Provide financial input in investment decisions related to AI-powered analytics, new market entry, and software infrastructure upgrades.
- Conduct benchmarking analysis against industry competitors to guide decision-making.
4. Compliance, Governance & Process Improvements:
- Ensure adherence to IFRS reporting standards and internal financial policies.
- Strengthen internal financial controls to prevent revenue misallocation and data access discrepancies.
- Work closely with finance and technology teams to ensure seamless integration between financial systems, CRM, and business intelligence tools.
- Support funding and investment discussions by preparing financial presentations for executive leadership.
Job Requirements
Education:-
Bachelor’s degree in Finance, Accounting, Economics, or a related field; MBA, CFA, or CPA is a plus.
Experience:-
Minimum 5-7 years of FP&A experience, preferably in media intelligence, digital analytics, or SaaS-based businesses.
Technical Competencies/Skills :-
- Experience in FP&A within a media intelligence, SaaS, or technology-driven business is highly preferred.
- Strong understanding of subscription-based revenue models, churn analysis, and contract lifecycle management.
- Expertise in forecasting models, scenario planning, and financial reporting tools (Power BI, Tableau, Adaptive Insights, or similar).
- Proficiency in financial modeling, pricing analysis, and revenue recognition principles specific to digital content and AI-driven analytics.
- Strong command of Excel, SQL, and financial planning software.
- Proven ability to analyze media industry trends and assess their financial implications on the business.
- Hands-on experience with ERP and CRM tools (e.g., Dynamics, HubSpot, or similar).
- Excellent stakeholder management skills, with the ability to work cross-functionally across finance, sales, product, and operations teams.
- Strong business acumen, with an ability to convert financial insights into strategic recommendations.
- Minimum 5-7 years of FP&A experience, preferably in media intelligence, digital analytics, or SaaS-based businesses.
- Bachelor’s degree in Finance, Accounting, Economics, or a related field; MBA, CFA, or CPA is a plus.
- Excellent command of English.
- Excellent report writing and presentation skills.
- Good understanding of PR & Communication, and their measurement best practices.