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Moniepoint

Senior Business Analyst

Moniepoint is hiring a Senior Business Analyst for a remote role open to applicants in Portugal. Level rates it ; you can apply on Moniepoint.

Level's read on this job

  • Little AI ●○○○ is how Level rates this business analyst role: aI is not part of the work.
  • This is listed as a remote role.
  • The posting mentions SQL, data analysis and statistical modeling among its tools and skills.
  • Level classes it as a senior role.
  • Moniepoint has 144 other open roles on Level.

AI in this role

Senior Business Analyst driving growth and payment product strategies using advanced statistical modeling, data analysis, and SQL.

SQL
data-analysisstatistical-modelinga-b-testingproduct-metrics

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 will be responsible for driving the growth and success of payment products by developing strategies that enhance user acquisition, retention, and overall product engagement. This role requires a blend of analytical skills, strategic thinking, and collaboration across various teams to ensure that payment solutions meet market demands and align with business objectives. Typically, you ensure that the product not only attracts users but also grows efficiently as the company scales.

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

  • Work closely with product managers, business, development and data engineering teams to guide the sales, marketing and growth team in problem discoveries, monitor and give visibility of product metrics and KPIs.
  • Translate product and business questions into analysis and actionable insights.
  • Develop and maintain scalable and self-service visualization tools and dashboards.
  • Own end-to-end everything analytics related to Marketing and Growth Product: products development cycle, from data requirement gathering and opportunity sizing, to experimentation and post-launch impact analyses.
  • Build robust relationships with stakeholders acting as a strategic and supportive link between the technology, business, and product.
  • Apply various advanced mathematical and statistical modeling techniques and analyses (A/B test, multivariate test, clustering, supervised learning, etc) to solve for product and business problems that drive the highest impact.

Qualifications

  • 3-4 years of professional experience outside of an academic and internship setting, in a quantitative analysis role in top companies/industries (tier 1 consulting firms, investment banking or tech companies with heavy use of in programming).
  • Excellent SQL skills - tested during the process
  • Demonstrated experience in designing and analyzing experiments in digital products (A/B test, multivariate, etc.)
  • Knowledge of visualization tools like Tableau and Looker and others
  • Experience with the application of statistical modeling and advanced analytics to provide product-shaping insights
  • Experience in statistical programming (Python) and experience working with popular tools such as Pandas, SciPy, Jupyter/iPython notebooks
  • Excellent 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 prioritize 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

  • A preliminary phone call with one of our recruiters.
  • A panel interview with a member of the hiring team.
  • A behavioral 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.

How we rate this

Senior Business Analyst at Moniepoint rates 20 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. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Data AnalysisStatistical ModelingA B TestingProduct MetricsSQL

Also common in business analyst jobs at this level

Pay

Typical business analyst job
$104k

This posting doesn't list pay. Use the typical business analyst figure when pay comes up. See business analyst jobs

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 statistical modeling was part of your work. What did you do?
  3. Tell me about a project where a b testing was part of your work. What did you do?
  4. Tell me about a project where product metrics 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, Statistical Modeling, A B Testing, Product Metrics, 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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