Intern, Data Analytics
Singlife
- Singapore
- Internship
- Intern/New Grad
- Bachelor's degree
- Posted
Skills
Required
- analytics / digital marketing / marketing analytics / customer experience / journey
- Data Analytics
- Data Science
- SQL
- data processes
- Snowflake
- Airflow
- Amazon Web Services
- Gitlab
- Qliksense
- stakeholder communication
- Python
Preferred
- results analysis
- 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.
- 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).
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).
Requirements
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
- 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.
