We are building an ecosystem to provide millions of customers with the best choice and value in digital and financial services. We are creating new and unique experiences for our customers and can offer scale to our partners to reach new audiences.
- 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
Method of Application
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