EHA Clinics is a world-class primary health care service provider located in Nigeria. We aim to bridge the gap between patients and primary healthcare services in any setting: the clinic, the home or through innovative online and mobile solutions.
All of our clinics are equipped with the latest healthcare technologies, and the most dedicated team of healt...
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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.
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