Lead, Business Analysis

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.

What you’ll do

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

What you need to succeed

+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