Data Analyst

Ikeja, Lagos, Nigeria
Full Time
Mid Level
Data Analyst
PalmPay is a leading African fintech platform on a mission to make digital payments fast, simple, and reliable. With millions of users and a rapidly growing merchant base, we’re using data to drive decisions and optimize products. We’re looking for 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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