Data Science and Analytics Specialist

• Execute research and analysis tasks within the scope of broader, mission-critical marketing projects.
• Select appropriate research or analysis methods, tools, and processes from options provided by senior team members to address specific technical challenges.
• Support senior key decision-makers by delivering research and analysis insights that clarify implications for projects, programs, or services.
• Assist in conducting research and measurement to support and improve overall marketing performance and organizational thinking.
• Utilise AI capabilities (e.g. Jetski) to create tools as required for the communication or analysis and reporting of key product or marketing metrics.

Minimum qualifications:

• Bachelor's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field.
  
• Experience in statistical (e.g., R, S-Plus, SAS, Python or similar) and database software (e.g., SQL or equivalent).

Preferred qualifications:

• 2 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or a relevant PhD degree.
  
• Foundational experience with data visualization tools (e.g., charts, graphs, dashboard creation), and interest or foundational training in market research methodologies (quantitative and qualitative).
• Understanding of the full market research lifecycle, including working with external agencies, drafting RFPs, and reviewing survey questionnaires or discussion guides.
• Ability to critically evaluate data and translate technical analytics into non-technical, persuasive business reports and commentary.

• Bachelor's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field.
  
• Experience in statistical (e.g., R, S-Plus, SAS, Python or similar) and database software (e.g., SQL or equivalent).