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Lead, Business Analysis

Moniepoint -
En remoto

Solicitud rápida

Detalles del empleo

Beneficios

Plan de pensiones

Cualificaciones

Tableau
SQL
Habilidades de análisis
Marketing digital
POS
Ciencias empresariales
Liderazgo
Habilidades de comunicación
Marketing

Descripción completa del empleo

Who we are

Moniepoint Inc. is Africa's all-in-one financial platform, helping 20 million businesses and individuals access seamless payments, banking, credit, cross-border, and business management tools each month.

As Nigeria's largest merchant acquirer, we power most of the country's point-of-sale (POS) transactions. Through our subsidiaries, Moniepoint Inc. processes over $250 billion in digital payment transaction value annually.

About the role

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

Technical Skills

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

Leadership & Soft Skills

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

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

What you'll get

Culture - We put our people first and prioritise the well-being of every team member. We've built a company where all opinions carry weight and where all voices are heard. We value and respect each other and always look out for one another. Above all, we are human.
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): Take-home test.
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.

Solicitud rápida

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