Skip to content

Data Analyst

Cape Town, Western Cape, South AfricaGame Technology Central

Job description

We are seeking a skilled Analyst with experience in experimentation to join our team.

As a Data Analyst you will support the full cycle of an experiment (from data-driven hypothesis generation to test design to analysis and interpretation) while also innovating on experimental methodologies that will obtain meaningful results.


  • Create interactive visualisations and reports to provide intuitive insights
  • Have strong numerical & proactive problem-solving skills
  • Conduct analyses and/or experimentation/investigations using various statistical methodologies
  • Have consulting, presentation and interpersonal skills
  • Communicate technical concepts and findings to both technical and non-technical stakeholders
  • Develop a business understanding and use this to identify opportunities to deliver solutions to business needs
  • Be passionate about data and an engaging communicator with strong work ethic
  • Have the ability to work in a multi-disciplinary, remote team
  • Understand data structures, databases and query optimization/best practice
  • Plan, manage and lead all assigned projects autonomously and responsibly
  • Actively get involved in talent development and collaboration in the team
  • Engage in daily BAU necessary for the operation of the business

Job requirements

  • At least 2 years of work experience in an analytics role, and/or ability to demonstrate analytical skills
  • Undergraduate or postgraduate qualification in a quantitative field such as Mathematics, Statistics, Data Science, Data Analytics, Computer Sciences, Physics, Finance, Economics or Engineering
  • Intermediate experience with SQL (SSMS/Snowflake)
  • Intermediate experience with data visualization tools such as Power BI, Tableau

Bonus Points

  • Experience with a programming language such as R, Python and any other statistical tool
  • Experience with web-based repositories e.g. Gitlab/Github
  • Explore, organize, transform, visualize, and analyse data from different data sources to inform business decisions