Job Description
Moniepoint is hiring a Research Analyst to support customer experience initiatives through data-driven insights. This role focuses on quantitative analysis, survey design, and statistical interpretation to improve customer satisfaction and guide business decisions.
Key Responsibilities
- Design and manage surveys such as NPS, CSAT, and transactional feedback using tools like Qualtrics.
- Collect, clean, and analyze large datasets from multiple sources including transactions, surveys, and behavioral data.
- Apply statistical techniques (descriptive, inferential, regression, segmentation) to identify trends and correlations.
- Build dashboards, reports, and data visualizations to present actionable insights.
- Collaborate with customer experience researchers and product teams to align findings with business needs.
- Contribute to continuous improvement of research methods, data processes, and analytical models.
Requirements
- Bachelor’s degree in Statistics, Data Science, Economics, Mathematics, Computer Science, or related field.
- Minimum of 4 years of experience in quantitative research or data analysis.
- Strong proficiency in R, Python (pandas/numpy/scikit-learn), SQL, or advanced Excel.
- Experience with survey platforms (e.g., Qualtrics) and visualization tools (e.g., Tableau, Power BI).
- Excellent analytical thinking, problem-solving skills, and ability to communicate insights to non-technical audiences.
- Strong organizational skills with experience managing complex projects.
Preferred
- Master’s degree in a quantitative discipline.
- Experience with A/B testing frameworks.
- Background in fintech, e-commerce, or other data-driven environments.
