Data Analyst at PalmPay Limited

PalmPay Limited is a fintech company that was founded in 2019. PalmPay is a mobile payment platform that also provides a variety of financial services.

Title: Data Analyst

Location: Ikeja, Lagos

Employment Type: Full-time

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.

Deadline: Not Specified.

How to Apply: Interested and qualified candidates should Click Here to apply online