Senior Data Analyst at Payzeep Technologies

Job Description

Company Overview

PayZeep provides a range of financial services to individuals, merchants, banks, and government agencies. The company’s solutions are designed to streamline payment processing and collections, offering secure and convenient channels for transactions. With a strong commitment to financial inclusion and literacy, PayZeep delivers innovative products and services to address challenges in cost, access, and efficiency across Nigeria, even at the grassroots level.

Job Title: Senior Data Analyst

Location: Lagos
Job Type: Full-time

Job Summary

As a Senior Data Analyst at PayZeep, you will play a key role in optimizing customer financial experiences through data-driven strategies. You’ll lead analysis initiatives, implement forecasting models, automate workflows, and generate insights to enhance product adoption, engagement, and business performance.

Key Responsibilities

• Develop and maintain accurate sales reports and performance dashboards
• Build and apply forecasting models to predict trends and improve strategies
• Automate data workflows to enhance operational efficiency
• Translate insights into actions by collaborating with product, engineering, research, and design teams
• Lead experimentation initiatives, define success metrics, and guide strategy
• Communicate findings effectively to technical and non-technical audiences
• Identify trends in performance metrics and KPIs for business optimization
• Mentor team members on data best practices and experimentation
• Apply statistical modeling and advanced measurement techniques
• Use BI tools (Power BI, Looker, Tableau) for data visualization and reporting

Requirements

• Bachelor’s degree in Computer Science, Data Science, Mathematics, Analytics, Statistics, or a related field
• Minimum of 5 years’ post-internship experience in data-focused roles, preferably within FinTech or B2C analytics
• Expert in SQL and capable of translating business needs into efficient queries
• Proven experience with experimentation design, causal inference, and data storytelling
• Proficiency in BI tools such as Looker, Tableau, or Power BI
• Excellent stakeholder management and cross-functional collaboration skills
• Ability to develop and manage metric frameworks to inform business strategies
• Strong problem-solving skills and results-oriented approach
• Effective communicator with a knack for making complex insights actionable