Data Analyst at PalmPay

• 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