Moniepoint is a financial technology company digitising Africa’s real economy by building a financial ecosystem for businesses, providing them with all the payment, banking, credit and business management tools they need to succeed.
About the role:
Our CX Research team plays a pivotal role in driving growth. We provide a deep understanding of customer needs, behaviors, and pain points to drive product innovation and enhance customer happiness. We’re looking for growth focused rock stars who are passionate about creating excellent customer experiences through actionable insights.
As a CX Research Analyst, you will be responsible for conducting quantitative and qualitative research to gain insights into customer experiences and preferences. You will work closely with cross-functional teams to translate research findings into actionable recommendations that drive business growth.
What you’ll get to to:
- Developing and executing research plans, including survey design, data collection, and analysis.
- Working with our external research agencies for data collection.
- Conducting in-depth interviews, focus groups, and usability testing sessions.
- Analyzing research data using qualitative and quantitative analysis techniques to identify trends and patterns.
- Developing insightful reports and presentations to communicate findings to stakeholders.
- Collaborating with cross-functional teams (product managers, data analysts, growth and marketing) to implement research findings and drive product improvements.
- Staying up-to-date with industry trends and best practices in customer research.
To succeed in this role, we think you should have:
- Minimum of 2 -3 years of professional experience in market research, user experience or customer experience roles preferably in financial services
- Strong analytical and problem-solving skills - you often find yourself digging deeper into problems you are presented with to figure out the “why”.
- Strong understanding of UX/CX research methodologies.
- Proficiency in excel (required) or other data analysis tools optional e.g., SPSS, Python, R(optional).
Method of Application
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