Intern, Data Analytics 工作, Singlife 公司招聘中 - Ricebowl

About The Team

The Data Science and Analytics Team is responsible for working closely with respective stakeholders to ensure that business objectives are achieved with data driven decisions.

Focus Of The Internship

Primarily support the day-to-day operations of the Data Science and Analytics Team’s Campaign function by assisting in campaign- related data needs.

The intern will also participate in other data related projects where applicable (e.g. automation, data modelling).

Key Responsibilities

• Drive campaign execution end-to-end, from pre-sizing of campaign bases to extraction of campaign leads to post-campaign results analysis.
• Write and run SQL queries for purposes of campaign executions and generating in-depth insights.
• Collaborate with stakeholders to understand business objectives and synthesize requirements
• Generate insights and in-depth analysis from data and present findings to key stakeholders in a clear and concise manner
• Develop and maintain scalable data pipelines and automate workflows for recurring campaign extractions and other purposes (where applicable).
  
  

Key Learnings

• Gain practical knowledge of campaign related data processes
• Develop an understanding of stakeholders’ needs and business objectives in an enterprise setting
• Build hands-on experience with Snowflake, Airflow, Amazon Web Services, Gitlab and Qliksense.
• Develop analytical, problem-solving, stakeholder communication, and process improvement skills through participation in different projects
• Gain an understanding of the insurance industry and its products
  
  

Education And Experience Requirements

• Currently pursuing a Bachelor’s degree in Business Analytics, Data Science, Data Analytics, Computer Science or a related discipline.
• Strong interest in analytics, digital marketing, marketing analytics, customer experience or journey.
• Proficient in SQL and Python
• Comfortable working with data and able to interpret information, identify patterns and communicate findings clearly.
• Curious, willing to learn and comfortable working across both business and technical topics
• Good written and verbal communication skills, with the ability to work collaboratively with different stakeholders.
• Attention to detail and a structured approach to problem-solving and testing.