Purpose of the Role<\/p>\n
\tThe Commercial Data & Insights Analyst is responsible for providing real-time commercial, operational and customer insights across the full parent lifecycle – from lead generation and enrolment through to collections, retention and customer experience.
\n\tThe role exists to improve decision-making, operational visibility and commercial performance by transforming fragmented operational data into actionable insights that support enrollment growth, collections performance, utilisation, customer experience and profitability across the network.
\n\tThe analyst will support Sales, Marketing, Finance, Schools and Collections through advanced reporting, dashboard development, customer insight analysis and performance deep dives that identify operational risks, trends and improvement opportunities.<\/p>\n
Reports To: Head of Sales and Collections<\/p>\n
Responsibilities:<\/p>\n
Sales & Enrolment Analytics<\/p>\n
\tBuild and manage daily, weekly and monthly enrolment dashboards.
\n\tTrack the full lead-to-enrolment funnel across all stages.
\n\tIdentify fallout and friction points within the enrollment journey.
\n\tMonitor lead quality, conversion rates and sales productivity.
\n\tAnalyse campaign performance across digital channels.
\n\tTrack school utilization, enrolment growth and attrition trends.
\n\tMonitor new school ramp-up performance and capacity risk.
\n\tProvide insights impacting revenue growth, utilization and EBITDA performance.<\/p>\n
Collections & Revenue Analytics<\/p>\n
\tProduce real-time collections and cash flow reporting.
\n\tBuild debt aging and arrears analysis (30\/60\/90\/180+ days).
\n\tTrack collection rate vs cash rate performance.
\n\tMonitor parent payment behaviour and collections trends.
\n\tIdentify high-risk arrears accounts and recovery priorities.
\n\tAnalyze school-level collections performance and shortfalls.
\n\tTrack payment arrangements, promises to pay and recovery campaigns.
\n\tImprove visibility into payment allocation accuracy and bad debt exposure.<\/p>\n
Customer Experience & Insights<\/p>\n
\tDesign and manage customer experience reporting across all parent touchpoints.
\n\tAnalyse customer surveys, feedback and parent sentiment trends.
\n\tIdentify recurring customer pain points across enrolment, billing, collections and communication processes.
\n\tProduce customer insight reports for operational and leadership teams.
\n\tTrack customer satisfaction, engagement and service experience metrics.
\n\tProvide actionable recommendations to improve parent experience and retention.
\n\tMonitor communication effectiveness and customer response trends<\/p>\n
Performance Deep Dives & Business Intelligence<\/p>\n
\tConduct operational deep dives to identify root causes impacting performance.
\n\tAnalyse large datasets across spreadsheets, Google Sheets and operational systems.
\n\tConsolidate fragmented operational data into meaningful business insights.
\n\tBuild executive-ready dashboards and automated reporting solutions.
\n\tDevelop BI dashboards and visual reporting for leadership teams.
\n\tSupport strategic decision-making using data trends and forecasting.
\n\tIdentify operational bottlenecks and efficiency improvement opportunities<\/p>\n
Reporting & Data Management<\/p>\n
\tBuild and maintain automated reporting frameworks.
\n\tReduce dependency on manual reporting processes.
\n\tEnsure reporting accuracy, integrity and consistency.
\n\tProduce executive commercial performance packs and presentations.
\n\tProvide real-time operational visibility to management teams.
\n\tSupport data governance and reporting standardization initiatives.<\/p>\n
Success in This Role Looks Like<\/p>\n
\tLeadership has real-time visibility into sales, collections and customer performance.
\n\tOperational teams make faster and more accurate decisions using data.
\n\tCustomer pain points are identified and addressed proactively.
\n\tReporting moves from manual and reactive to automated and insight-led.
\n\tPerformance risks are identified earlier through data analysis.
\n\tThe business develops stronger commercial, operational and customer intelligence capability.<\/p>\n
Requirements
\nQualifications and Criteria<\/p>\n
Experience:<\/p>\n
\tBCom in Business Analytics or related field
\n\t3\u20135 years in commercial analytics, sales analytics, finance analytics or business intelligence
\n\tExperience in high-volume operational environments
\n\tExperience presenting insights and analytics to senior leadership teams
\n\tExperience building dashboards and executive reporting tools
\n\tExperience conducting operational performance deep dives<\/p>\n
Technical Skills<\/p>\n
\tAdvanced Microsoft Excel and Google Sheets expertise
\n\tStrong knowledge of formulas, lookups, pivot tables and multi-sheet analysis
\n\tAbility to work with large and complex datasets
\n\tPower BI \/ Tableau \/ Looker Studio dashboard development
\n\tData visualization and reporting capability
\n\tCRM and operational systems reporting
\n\tStrong spreadsheet modelling and analytical capability
\n\tSQL advantageous<\/p>\n
Competencies<\/p>\n
\tStrong analytical and problem-solving capability
\n\tCommercial and operational understanding
\n\tAttention to detail and reporting accuracy
\n\tAbility to simplify complex data into actionable insights
\n\tStrong presentation and communication skills
\n\tAbility to engage senior stakeholders confidently
\n\tProcess improvement mindset
\n\tAbility to work under pressure and manage multiple priorities<\/p>\n
go to method of application \u00bb<\/p>\n
Apply via company website ( ) or<\/p>\n
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