EHA Clinics, a subsidiary of eHealth Africa, is a health care network operating across Nigeria that provides high-quality, innovative, data-driven, and technology-enabled services. EHA Clinics delivers a comprehensive range of state of the art health care services in each location, e.g,  general consultations, laboratory investigations, pharmaceuticals, annual medical checks, child wellness checks, ultrasonography, and specialized services (urgent care, telemedicine, home care, dental care, and ophthalmology).

We are recruiting to fill the position below:

Job Title: Data Analyst

Location: Ikeja, Lagos
Job type: Full-time
Career level: Mid Level

Job Description

• We are seeking to employ a Data Analyst to help us turn raw data into actionable insights.
• As a Data Analyst at PalmPay, you’ll work with cross-functional teams to analyze data, identify trends, and generate insights that support strategic decisions.
• You’ll be instrumental in improving product performance, optimizing operations, and driving growth.

Key Responsibilities

• Collect, clean, and analyze large datasets from various sources (transactions, customer behavior, product usage, etc.)
• Design and maintain dashboards and reports to support business stakeholders.
• Identify patterns, trends, and insights that inform business strategies and operational improvements.
• Collaborate with product, marketing, risk, and finance teams to measure KPIs and evaluate campaign or product performance.
• Perform ad-hoc analysis to support key initiatives and strategic decision-making.
• Provide data-driven recommendations and build models that predict customer behavior, fraud risks, or market performance.
• Automate reporting and data processes to improve team efficiency.
• Ensure data quality, accuracy, and integrity at all stages of the analysis.

Requirements

• Bachelor’s Degree in Statistics, Mathematics, Computer Science, Economics, or a related field.
• 3 – 5 years of experience in a data analyst or BI analyst role (experience in fintech is a plus).
• Proficiency in SQL is required; knowledge of Python or R is an added advantage.
• Experience with data visualization tools (e.g., Power BI, Tableau, or Looker).
• Strong analytical and critical thinking skills, with attention to detail.
• Comfortable working in a fast-paced environment and collaborating with cross-functional teams.
• Solid understanding of business metrics and how to translate data into impact.

Application Closing Date
Not Specified.