jobapplier

Intern, Data Analytics

Singlife

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.