Intern, Data Analytics

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.