Analytics Manager

• +5 years in Analytics and Analytics Management.
• 2+ years in a management role managing teams and driving strategic initiatives
• Proven track record in a consumer-FMCG environment, preferably in a CPG or fintech environment
• Deep experience scaling product businesses, with demonstrated ownership of significant revenue targets
• Strong analytical skills with ability to drive metrics and benchmarks, plus experience with growth experiments, A/B testing, and funnel optimisation
• Deep SQL knowledge.
• Proficiency in product analytics tools (Mixpanel, Grafana, Tableau, Looker, etc)
• Deep understanding of data analytics, user behaviour analysis and segmentation
• Strong communication skills to interact with teams, stakeholders, and users through verbal presentations, written reports, and visual media
• Proven ability to build, mentor, and scale high-performing product teams
• Expertise in data analytics tools and digital marketing platforms with the ability to manage and mentor teams of marketers, analysts, and designers
• Strategic thinker with strong commercial awareness and business acumen

• Advanced degree in Business or STEM
• Experience in Growth Analytics, Product analytics, Credit risk analytics
• Background in both mass-marketing and product-led growth models
• Experience managing P&L or budget responsibility

At Moniepoint, as an Analytics Manager, you will use data to make better decisions, faster for the business. You will own metrics, measurement, experimentation and the analysis/data roadmap for a business area. You'll use data to quantify business KPIs and conduct analyses to uncover unknowns, helping the business unit achieve its goals for acquisition, conversion, activation, retention, and revenue. As a leader of the business unit, the role sits at the intersection of product management, data engineering, and growth.

• Strategic Leadership: Build a disciplined, exceptional analytical team. Develop and execute a comprehensive data and analytics roadmap and strategy
• Team Building & Management: Hire, develop, and retain a high-performing team of analytics professionals
• Data Insights & Analytics - including forecast building, business analysis and model development and productionisation. Drive the generation of actionable insights from data to support various business functions, including product, operations, marketing and engineering. What is our actual CAC per channel? Which customer segments are more/less engaged? What are our customers' share of wallet - how can we use this? What is the typical behaviour of a Moniepoint consumer? What products cause the biggest incremental engagement?
• Stakeholder Collaboration: Partner with growth, product, and engineering managers to ensure we collect the right data for meaningful business insights. Bring data leadership and rigour to our approach to product development. Build a strategic understanding of the business and structure complex projects to bring them to life.

Business: Growth

• Create and maintain the yearly forecast and budget for your products.
• Define the product's growth plan and lead execution across the entire funnel from acquisition through to monetisation and retention
• Own and optimise specific business metrics or commercial goals, covering the entire funnel from new user acquisition through conversion, activation, retention, and expansion
• Perform detailed product analysis covering the product management funnel with all its aspects, implementing changes into the buying funnel to improve conversion
• Design and execute A/B testing programs to optimise sales and conversion rates/adoption at each funnel stage
• Lead testing and optimisation efforts for the conversion funnel across offline and online channels, prioritising tests that drive the biggest business impact
• Improve the product's design and deploy experiments to improve lifetime value (LTV) and decrease churn

Technical: Data & Analytics

• Use deep, flexible, and comprehensive analytics covering the entire funnel from marketing acquisition to product usage
• Analyse user behaviour to improve the sales funnel and increase conversions, using advanced analytics to assess campaign performance and refine strategies
• Define and track growth metrics including customer acquisition cost (CAC), activation rate, retention rate, payback time, and revenue per customer
• Conduct cohort analysis and journey mapping to identify bottlenecks and optimisation opportunities

• User acquisition and activation rates
• Customer retention and churn rates
• Expansion revenue (upsell/cross-sell)
• Customer Lifetime Value (LTV) / Customer Acquisition Cost (CAC) ratio
• Product adoption metrics