Data Analyst at EHA Clinics
EHA Clinics
Date: 1 day ago
City: Lagos, Lagos
Contract type: Full time

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Job Title: Data Analyst
Location: Ikeja, Lagos
Job type: Full-time
Career level: Mid Level
Job Description
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- Location: Nigeria
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- Job type: Full-Time
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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.
- 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.
- 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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