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Data Analytics Associate
2 weeks ago
Department Business Intelligence and Data Analytics
SeaMoney is a part of Sea Group, a leading global consumer internet company. SeaMoney's mission is to better the lives of individuals and businesses in our region with financial services through technology. SeaMoney's offerings include mobile wallet services, payment processing, credit offerings, and related digital financial services and products. These are available in seven markets across Southeast Asia and Taiwan under various brands, including ShopeePay, SPayLater, and other brands.
Job Description:- Analyze large datasets to identify trends, patterns, and extract actionable insights to increase digital products engagement, improve customer experience, and operational efficiency.
- Monitor and assess the performance of digital banking products and features.
- Improve team documentation, including metric documentation, data dictionaries, code documentation, process documentation, and other relevant documentation.
- Work with different stakeholders to define metrics, conduct analysis and share actionable insights to support the continuous improvement of Seabank business, product and operations
- Graduate of Bachelor's degree and above in Data Science, Statistics, Computer Science, Engineering, Business Analytics, and other related fields
- At least 4-8 years of working experience in business analytics related roles, preferably in the financial services, digital banking, & telco industries.
- Has demonstrated experience in statistical modeling techniques such as regression analysis, time series analysis, and clustering.
- Familiarity with machine learning algorithms and predictive modeling
- Must be proficient in R, Python, and SQL
- Working knowledge in REST APIs, Selenium, Google Apps Script, and Data Visualization is a plus
- Excellent communication and presentation skills
- Entrepreneurial spirit and start-up mindset
- Ability to work independently and collaboratively in a team environment
- Work well with cross-functional teams in a fast-paced environment
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