Data Scientist (Product Analytics) - Financial Services

📋 Description

• Partner with cross-functional teams to identify data requirements and design innovative analytical
• Conduct in-depth analyses of operational data, including business/impact analysis and text analysis
• Develop dashboards to monitor performance of Grab Support operations, support specialists, and the
• Utilize advanced statistical and machine learning techniques (e.g., quasi-experimental methods, NLP
• Stay up-to-date with industry trends, emerging technologies, and best practices in analytics and
• Collaborate with data engineering teams to ensure data quality, integrity, and accessibility, while

🎯 Requirements

• Minimum Bachelor's degree in Analytics, Statistics, Engineering, or related field
• At least 2+ years of experience in Analytics, Business Intelligence, or Data Science roles
• Proficiency in Big Data technologies such as Spark, PySpark, and Databricks
• Strong foundation in data query/manipulation using SQL and data visualization tools like Power BI
• Experience in Snowflake and multidimensional modeling

🎁 Benefits

• Term Life Insurance and comprehensive Medical Insurance
• GrabFlex benefits package customization
• Parental and Birthday leave, and Love-all-Serve-all (LASA) volunteering leave
• Confidential Grabber Assistance Programme
• FlexWork arrangements such as differentiated hours