
Business Intelligence/Data Analyst Intern
SeaMoney
Job Description
About the job Job Description Data analyst partner to credit stakeholders for Paylater and Cash Loan products, need to understand the product, customer, and market needs. Develop monitoring tools for business stakeholders to monitor business performance and create recommendations/actionable insights to strategize and grow business. Work with business stakeholders to develop and experiment new strategies using available data points and market research. Analyze data to find actionable insights such as funnel conversion analysis, cohort analysis, long-term trends, user segmentation, and many others to improve business strategies. Design, perform, and disseminate descriptive or diagnostic analysis with valuable findings and actionable insights to understand business needs. Collaborate with other team members to ensure availability, integrity, and quality of data analytics and reports for business stakeholders. Serve as an in-consultant who simplifies complex terminologies into more understandable insights to internal and external stakeholders. Adhere to software development best practices, including test-driven development. Requirements Must be a third or final year student pursuing a degree in Mathematics, Computer Science, Information Technology, Data Science, or related fields. Detail-oriented individual with a strong sense of curiosity and a keen analytical mindset. Have a general understanding of credit business (credit card, paylater, or cash loan) Familiarity working with one or more languages for querying (e.g. SQL, Spark). Prior experience will be a huge plus. Any prior experience in conducting statistical experiments such as A/B testing will be a plus. Any prior experience working with BI tools (e.g Tableau, PowerBI, Looker) will be a plus. Any prior internship experience working in data analytics or business intelligence or related jobs and in a credit or financial company will be a plus. Any prior academic projects or personal projects related to data analysis will be a plus. Internship duration between 4-6 months depending on availability.
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