At a Glance
- Tasks: Lead a dynamic analytics team to drive data-driven decisions and insights.
- Company: Join Moniepoint Inc., Africa’s leading financial platform for seamless payments and banking.
- Benefits: Enjoy a competitive salary, health insurance, and a focus on personal well-being.
- Other info: Collaborative culture prioritising learning and development opportunities.
- Why this job: Make a real impact in a fast-growing fintech environment with innovative projects.
- Qualifications: 5+ years in analytics, with strong leadership and technical skills.
The predicted salary is between 70000 - 90000 £ per year.
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.
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.
- 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.
- Technical: Use deep, flexible, and comprehensive analytics covering the entire funnel from marketing acquisition to product usage.
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.
- 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.
- 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.
Lead, Business Analysis in London employer: Moniepoint
Moniepoint is an exceptional employer that fosters a collaborative and innovative work environment in the heart of London. With a strong emphasis on employee growth, competitive compensation, and comprehensive health benefits, we empower our team to make a meaningful impact on the financial aspirations of millions. Join us to be part of a supportive culture that values well-being and professional development.
StudySmarter Expert Advice🤫
We think this is how you could land Lead, Business Analysis in London
✨Get to Grips with Data Visualisation Tools
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✨Join Local Business Intelligence Meetups
Look for local business intelligence meetups or analytics conferences in your area. These events are not just great for learning but also for networking with industry professionals who could lead you to opportunities at companies like Moniepoint!
✨Engage with Online BI Communities
Join online forums or communities focused on business intelligence—think LinkedIn groups, Reddit threads, or even dedicated Slack channels. Engage actively by sharing your insights and asking questions; this can help you build visibility and connect with potential employers.
✨Leverage Your University’s Career Support
If you're a recent graduate, definitely tap into your university's career services. Many have connections with companies in need of full-time BI specialists, and they can guide you on how to pitch yourself effectively—don't miss out on that!
We think you need these skills to ace Lead, Business Analysis in London
Some tips for your application 🫡
Highlight Your Analytical Skills:In the business intelligence field, showcasing your analytical skills is a must. Make sure your CV includes relevant experience with data analysis tools, programming languages like SQL or Python, and any projects where you've interpreted complex data sets to drive business decisions.
Showcase Your Business Acumen:Don't just focus on data; show us how you can apply your insights to real-world business problems. Highlight projects where you made a tangible impact on company performance, and be prepared to explain your thought process in your cover letter.
Tailor Your Documents for Us:When applying for a full-time role at Moniepoint, tailor your CV and cover letter to reflect our organisational goals and strategies. Mention specific tools and methodologies that align with what we do—this shows you’ve done your homework and are genuinely interested in our mission!
Include Relevant Certifications:Certifications like Google Data Analytics or similar qualifications can really make you stand out in business intelligence. Include these in your application, as they demonstrate your commitment to the field and your willingness to stay current with industry standards.
How to prepare for a job interview at Moniepoint
✨Show off your analytical skills
In a business intelligence role, you're going to need to demonstrate your analytical prowess. Be prepared to discuss specific tools you've used, like SQL, Tableau, or Power BI. Have real-world examples ready where you’ve turned data into actionable insights – this is what makes us shine in interviews!
✨Practice your technical know-how
Expect some technical questions during the interview that dive deep into your understanding of data modelling and analytics frameworks. Brush up on your knowledge of data warehousing concepts and be ready to tackle any real case scenarios they might present. They’ll want to see how you approach problems using your BI toolkit.
✨Portfolio of Projects
Since it's a full-time role, having a strong portfolio is key! Compile case studies demonstrating your previous projects, preferably showing how your insights led to business improvements. This can help us display how you think through complex datasets and your problem-solving process, which is what employers are keen on seeing.
✨Know their business model
Get familiar with Moniepoint’s business model and recent data-driven decisions. Be prepared to discuss how your skills can specifically support their objectives or challenges. Understanding their landscape shows that you’re not just a data buff, but you’re also genuinely interested in how BI can impact their bottom line.
