1. Financial Forecasting & Budgeting:
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Develop and maintain sophisticated financial models that
capture key revenue drivers
such as
subscription renewals, client churn rates, and new customer acquisition.
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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.
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Perform scenario analysis for
new product launches, pricing adjustments, and market expansion.
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Prepare
rolling forecasts
to adjust financial projections based on
real-time business performance and external market trends.
2. Financial & Business Performance Analysis:
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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:
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Develop
automated financial dashboards
that provide real-time insights into revenue, expenses, and operational KPIs.
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Provide financial input in
investment decisions related to AI-powered analytics, new market entry, and software infrastructure upgrades.
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Conduct
benchmarking analysis against industry competitors
to guide decision-making.
4. Compliance, Governance & Process Improvements:
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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.
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Strong understanding of subscription-based revenue models, churn analysis, and contract lifecycle management.
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Expertise in
forecasting models, scenario planning, and financial reporting tools (Power BI, Tableau, Adaptive Insights, or similar).
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Proficiency in
financial modeling, pricing analysis, and revenue recognition principles specific to digital content and AI-driven analytics.
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Strong command of
Excel, SQL, and financial planning software.
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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).
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Excellent stakeholder management skills, with the ability to work cross-functionally across
finance, sales, product, and operations teams.
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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.
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Excellent report writing and presentation skills.
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Good understanding of PR & Communication, and their measurement best practices.