Senior Business Analyst in London

Senior Business Analyst in London

London Full-Time 54000 - 66000 £ / year (est.) Home office (partial)
Doist

At a Glance

  • Tasks: Shape the future of payment products through data-driven strategies and collaboration.
  • Company: Join Moniepoint Inc., Africa's leading financial platform with a focus on innovation.
  • Benefits: Enjoy competitive salary, health insurance, and a culture prioritising well-being and growth.
  • Other info: Dynamic team environment with a commitment to diversity and inclusion.
  • Why this job: Make a real impact in the fintech space while developing your analytical skills.
  • Qualifications: 3-4 years in quantitative analysis, strong SQL, and experience with visualisation tools.

The predicted salary is between 54000 - 66000 £ per year.

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

The Senior Business Analyst plays a key role in shaping the growth and success of Moniepoint's payment products.

You'll design, test, and implement strategies that improve user acquisition, boost retention, and elevate product engagement.

This role blends deep quantitative analysis with collaborative, strategic thinking.

You'll partner with teams across the business to ensure our payment solutions meet real market demands and grow efficiently as we scale.

Ultimately, you'll make sure our products not only attract users but also scale sustainably to create financial happiness for everyone.

Curious about what makes Moniepoint an incredible place to work? Check out posts on how we cultivate a culture of innovation, teamwork, and growth.

Key Responsibilities

  • Partner closely with product managers, business development, and data engineering teams to help our growth team uncover problems and make product metrics highly visible.
  • Translate complex product and business questions into simple, actionable insights.
  • Build, maintain, and scale self-service dashboards and custom visualisation tools.
  • Own end-to-end analytics for our growth products—from gathering data requirements and estimating opportunity sizes to designing experiments and conducting post-launch impact reviews.
  • Cultivate trusted relationships across teams, acting as a collaborative link between technology, business, and product.
  • Apply advanced mathematical and statistical modelling techniques (including A/B tests, multivariate testing, clustering, and supervised learning) to solve practical business problems that drive high-impact results.

Qualifications

  • 3 to 4 years of professional experience (excluding academic projects and internships) in a quantitative analysis role within high-scale tech companies, tier-1 consulting firms, or investment banks with strong programming demands.
  • Excellent SQL skills (which we will test during our interview process).
  • Practical experience designing, running, and analysing experiments on digital products (such as A/B and multivariate tests).
  • Hands-on experience with popular visualisation tools like Tableau or Looker.
  • Experience applying statistical modelling and advanced analytics to deliver practical, product-shaping insights.
  • Strong skills in statistical programming (Python) and familiarity with tools like Pandas, Sci Py, and Jupyter notebooks.
  • Clear, professional spoken and written English.
  • Additional skills
  • Product management
  • Analytics
  • Marketing
  • Data Science
  • Design
  • Customer Success
  • What we can offer you

Culture - We put our people first and prioritise every team member's well-being.

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
  • A preliminary phone call with one of our recruiters.
  • A panel interview with a member of our hiring team.
  • A behavioural and technical interview with a member of the Executive team

Moniepoint is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees and candidates.

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Senior Business Analyst in London employer: Doist

Brink's is an exceptional employer that fosters a collaborative and innovative work culture, empowering employees to drive global commercial strategies in the ATM lifecycle solutions sector. With a strong focus on professional development and growth opportunities, employees are encouraged to expand their skills while contributing to sustainable growth and operational excellence. Located in a dynamic environment, Brink's offers unique advantages such as a diverse team and the chance to build long-term partnerships with global customers, making it a rewarding place to advance your career.

Doist

Contact Details:

Doist Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Senior Business Analyst in London

Get to Grips with Data Visualisation Tools

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Join Local Business Intelligence Meetups

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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

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We think you need these skills to ace Senior Business Analyst in London

Quantitative Analysis
SQL
Statistical Modelling
A/B Testing
Multivariate Testing
Data Visualisation
Tableau

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 Doist, 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 Doist

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 Doist’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.