[Hiring] Lead, Business Analysis @Moniepoint

Role Description

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:
  • Drive the generation of actionable insights from data to support various business functions, including product, operations, marketing, and engineering.
  • Analyze customer acquisition cost (CAC) per channel.
  • Identify customer segments that are more/less engaged.
  • Assess customers’ share of wallet and typical behavior.
  • Determine which 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.
• 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.
  • Perform detailed product analysis covering the product management funnel.
  • Design and execute A/B testing programs to optimise sales and conversion rates/adoption.
  • Lead testing and optimisation efforts for the conversion funnel across offline and online channels.
  • 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.
  • Define and track growth metrics including CAC, activation rate, retention rate, payback time, and revenue per customer.
  • Conduct cohort analysis and journey mapping to identify bottlenecks and optimisation opportunities.

Qualifications

• +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.

Technical Skills

• Strong analytical skills with ability to drive metrics and benchmarks.
• 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.

Leadership & Soft Skills

• Strong communication skills to interact with teams, stakeholders, and users.
• Proven ability to build, mentor, and scale high-performing product teams.
• Expertise in data analytics tools and digital marketing platforms.
• Strategic thinker with strong commercial awareness and business acumen.

Key Performance Indicators

• 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.

What sets you apart

• 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.

Benefits

• Culture - We put our people first and prioritise the well-being of every team member.
• Learning - We have a learning and development-focused environment with an emphasis on knowledge sharing, training, and regular internal technical talks.
• Compensation - You’ll receive an attractive salary, pension, health insurance, annual bonus, plus other benefits.

What to expect in the hiring process

• Online SQL take-home task (30 mins).
• Business Case 1 (1 hour - 1 hour 30 mins): Live case. No take-home required.
• Business Case 2 (1 hour - 1 hour 30 mins): Live case. No take-home required.
• Exec Interview (30 mins - 1 hour): Culture Fit. No take-home required.