Level

Moniepoint

Analytics Manager

Moniepoint is hiring an Analytics Manager for a remote role open to applicants in Portugal. Level rates it ; you can apply on Level.

AI in this role

Lead the analytics team at Moniepoint to drive business strategy, KPIs, experimentation, and data-informed decision-making.

sqlpythontableauexcel
data-analysisforecastinggrowth-metricsteam-management

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.

How we rate this

Analytics Manager at Moniepoint rates 15 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

Prepare for this job

A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.

Skills and AI tools this role asks for

Data AnalysisForecastingGrowth MetricsTeam ManagementSQLPythonTableauExcel

Questions you could be asked

  1. Tell me about a project where data analysis was part of your work. What did you do?
  2. Tell me about a project where forecasting was part of your work. What did you do?
  3. Tell me about a project where growth metrics was part of your work. What did you do?
  4. Tell me about a project where team management was part of your work. What did you do?
  5. Walk me through how you've used SQL in your day-to-day work.

Adapt your resume

  • List these exact terms on your resume: Data Analysis, Forecasting, Growth Metrics, Team Management, and SQL. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.

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