Palmpay is a Pan-African fintech company currently operating in Ghana, Uganda, Nigeria and expanding to other markets in Tanzania. It is reinventing the payments experience by making it easy and reliable for everyone to transfer money, pay bills and shop online. It is seeking for a proactive and results-driven Data Analytics Specialist will be responsible for collecting, analysing and interpreting large datasets to provide actionable insights that drive business decisions. This role bridges technical expertise with business acumen, ensuring data is transformed into meaningful strategies.
Key Responsibilities Data Collection & Management
Gather, clean and validate data from multiple sources.
Maintain databases and ensure data integrity.
Analysis & Reporting
Perform statistical analysis and predictive modelling.
Develop dashboards, reports and visualizations using tools like Power BI, Tableau or Excel.
Translate complex data into clear insights for stakeholders.
Business Support
Collaborate with cross-functional teams (marketing, finance or operations) to identify data needs.
Provide recommendations to improve efficiency, customer experience and profitability.
Advanced Analytics
Apply machine learning techniques where applicable.
Conduct trend analysis and forecasting.
Required qualifications
Bachelor’s degree in Data Science, Statistics, Computer Science, Economics or related field.
2–5 years of experience in data analysis in fintech or banking industry.
Strong proficiency in SQL, Python or R.
Experience with BI tools (Tableau, Power BI, Qlik).
Solid understanding of statistical methods and data modelling.
Excellent problem-solving and communication skills.
Ability to present findings to both technical and non-technical audiences.
Analytical thinking and attention to detail.
Business acumen and strategic mindset.
Collaboration and teamwork.
Adaptability in fast-paced environments.
About PalmPay
PalmPay is building the financial superapp for Africa.
