At PalmPay, we want to provide a financial ecosystem that is open to as many people as possible, and that’s why the only requirement to access financial services from us is that you have a smartphone. We have exclusively partnered with TECNO Mobile, Africa’s leading mobile phone brand with over 50% market share on the continent. The PalmPay app will come pre-installed on over 20 million devices in 2020.
Job Overview:
We are looking for a talented Data Analyst to support our data-driven decision-making processes. The ideal candidate will have a strong analytical mindset, exceptional problem-solving skills, and a passion for transforming raw into actionable insights. As a Data Analyst as Palmpay Limited, you will paly a key role in optimizing operations, enhancing customers experience, and driving strategic business initiatives.
Responsibilities:
Data Collection and processing:
- Collect and compile data from various sources, ensuring data accuracy and completeness.
- Cleanse and preprocess data to prepare it for analysis.
Data Analysis:
- Perform exploratory data analysis to identify trends, patterns, and outliers.
- Develop and implement statistical models to extract meaningful insights from large datasets.
- Analyze financial data to support business-making.
Reporting and Visualizing:
- Create and maintain dashboard and report to communicate key performance indicators and metrics.
- Collaborate with cross-functional teams to present finding and recommendations.
Data Quality Assurance:
- Implement and maintain data quality standard and procedures
- Monitor and address data discrepancies or anomalies
Business Intelligence:
- Provide actionable insight support planning and decision-making
- Stay abreast of industry trends and best in data analytics
Collaboration:
- Work closely with other department to understand their data needs and provided relevant insights
- Collaborate with data engineers and IT teams to ensure data infrastructure meet analytical requirements.
Qualifications:
- Bachelor’s degree in Data Science, Mathematics, Computer Science, or a related field.
- 3 years proven experience as Data Analyst in a Fintech or Financial Services environment.
- Strong proficiency in data tool such as SQL, Python, or R.
- Experience with data visualization tools such as Tableau or Power BI.
- Familiarity with financial data and metrics.
- Excellent communication and presentation skills
- Ability to work collaboratively in fast-paced environment
Method of Application
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