Revenue Analyst

JOB PURPOSE

• The Revenue Analyst is responsible for providing advanced analytical, modelling, and reporting support to drive SABC’s revenue growth, yield optimisation, and inventory efficiency across all commercial platforms - Television, Radio/Audio, and Digital.
• The role delivers deep commercial insight into revenue optimisation, trade model effectiveness, yield patterns, and inventory utilisation to enable data-driven decision-making. By applying advanced modelling techniques, the Revenue Analyst identifies opportunities to improve inventory monetisation, forecast revenue outcomes, and enhance pricing and trading strategies in collaboration with the Revenue Management team.
• The incumbent will build and maintain complex models to simulate revenue scenarios, evaluate rate-card effectiveness, and recommend strategies for maximising yield from available inventory. This includes conducting detailed analyses of unsold inventory, proposing strategies for its conversion into revenue, and providing actionable intelligence to Sales and Management.
• Ultimately, the Revenue Analyst enables SABC to make evidence-based decisions that improve revenue performance, forecast accuracy, and yield efficiency across all commercial operations.

MAIN OBJECTIVES (KEY PERFORMANCE AREA)

JOB OUTPUTS AND RESPONSIBILITIES OF THIS POSITION

KEY PERFORMANCE INDICATOR

REVENUE & YIELD ANALYSIS, TRADE MODEL EFFICIENCY

• Analyse daily, weekly and monthly revenue performance across all platforms.
• Monitor trade model performance, measuring deal structures, discount levels and sell-out rates against targets.
• Quantify discount utilisation by platform, client segment and campaign type; identify excessive discounting or rate erosion.
• Evaluate yield per second, spot, package and inventory class; recommend interventions to improve margin.
• Track sell-outs and capacity fill rates, highlighting areas of over-supply or missed opportunity.
• Analyse the relationship between trade agreements, discount patterns and realised yield.
• Develop and maintain dashboards that show trade model efficiency, discount leakage and yield improvement over time.
• Identify high-yield and low-yield categories and support targeted sales actions.
• Provide analytics for quarterly trade model reviews, informing decisions on discount tiers, barter structures and incentive mechanisms.
• Work with Sales to validate whether trade commitments are delivering expected revenue outcomes.
• Support the design of revenue optimisation models for package deals and cross-platform offers.
• Produce variance analyses comparing planned vs realised yield.
• Benchmark SABC’s trade performance against competitors and market norms.
• Present insights and recommendations to the Revenue Management Lead for decision making.

FORECASTING, SCENARIO MODELLING & REVENUE PLANNING

• Build and maintain advanced revenue forecasting and scenario-modelling tools.
• Model the revenue effects of pricing, discount, sell-out rates or audience changes.
• Simulate alternative trading structures to test impact on margin and volume.
• Integrate macro-economic and market data into projections.
• Produce short- and long-term yield forecasts by platform and inventory class.
• Conduct sensitivity analysis for different discount or fill-rate scenarios.
• Collaborate with Pricing Analysts to ensure model alignment with rate-card strategy.
• Generate predictive models to anticipate underperforming sectors or timeslots.
• Provide scenario recommendations to Sales and Executives for tactical interventions.
• Validate forecasts through back-testing and refine assumptions accordingly.
• Document modelling logic for governance and audit transparency.
• Develop visual dashboards to present forecasts and trade scenarios to management.
• Support the annual revenue target-setting and rate review processes.

INVENTORY UTILISATION & REVENUE RECOVERY

• Track and analyse inventory utilisation across TV, Radio and Digital.
• Identify unsold, under-sold or low-performing slots and categories.
• Quantify potential revenue loss from unsold inventory and propose recovery plans.
• Develop analytics for inventory allocation efficiency and turnover speed.
• Recommend strategies to convert unsold inventory into revenue through discounting, bundling, or sponsorship.
• Monitor performance of disposal campaigns and measure incremental yield.
• Collaborate with Sales to improve load ratios and sales conversion efficiency.
• Evaluate utilisation impact of promotional or barter deals.
• Provide weekly utilisation dashboards with actionable insights.
• Support implementation of yield-based allocation algorithms in sales systems.
• Prepare post-campaign reviews to identify inventory or scheduling inefficiencies.
• Contribute to policy updates for unsold airtime management and recovery.

GOVERNANCE, RISK AND COMPLIANCE

• Adhere to high levels of security and confidentiality over commercially sensitive and other market related information, intelligence, strategies and plans.
• Awareness of operational risks and compliance requirements.
• Adhere to internal control measures to ensure good governance and compliance with SABC policies and procedures.
• Adhere to compliance in line with OHS Act.
• Adhere to strategies & business plans against commercial/Sales guidelines, policies and SOP’s.
• Assist with audit findings where applicable.

INHERENT REQUIREMENT
FORMAL QUALIFICATIONS:

• Bachelor’s degree in Economics, Statistics, Finance, Business Analytics or related field.
• Postgraduate qualification or certification in Data Analytics, Revenue or Yield Management advantageous.
• Proficiency in Power BI, Excel (advanced), and modelling languages (SQL, Python, or R) preferred.

EXPERIENCE:

• 3–5 years’ experience in revenue, yield or trade analytics.
• Proven ability to conduct complex modelling and scenario analysis.
• Exposure to pricing, trading or sales operations in media, telecoms or advertising.
• Experience in BI tools, revenue dashboards and forecasting systems.
• Track record of generating actionable insights that improved yield or efficiency

KNOWLEDGE:

• Revenue and yield management principles.
• Trade model design, discount frameworks and utilisation analysis.
• Inventory management and monetisation strategies.
• Forecasting, elasticity and scenario modelling.
• Data governance, PFMA and Treasury regulations.
• Broadcasting and advertising market dynamics.

Deadline:2nd July,2026