Senior Marketing Data Analyst

3 weeks ago


Singapore AIRWALLEX (SINGAPORE) PTE. LTD. Full time
About the Role

Airwallex (Singapore) PTE. LTD. is seeking a skilled Marketing Performance Analyst to join its Global Marketing Strategy function. This role will provide actionable data and insights to drive customer engagement and better decision-making.

As a Marketing Performance Analyst, you will partner with the Airwallex Data Science team to develop and maintain Marketing reporting and dashboarding. You will be responsible for deep-dive analysis of customer and Marketing data, staying on top of market trends and performance metrics to support the development and optimisation of Marketing strategies.

You will work closely with the Marketing team to deliver high-quality insights and recommendations to enhance the brand presence and drive business growth.

Your key responsibilities will include:

  • Analysing large data sets for patterns and trends, visualising results in dashboards and presentations.
  • Developing and maintaining dashboards and reports to communicate key findings and insights to stakeholders.
  • Supporting Marketing stakeholders on campaign measurement, including channel- and engagement-specific reporting.
  • Collaborating with Marketing, Sales, and Product teams to identify opportunities for improvement in Marketing strategies and campaigns.
  • Being a business partner for Data Science and RevOps teams, serving as the subject matter expert for all Marketing KPIs.

What we're looking for:

  • Bachelor's degree in Economics, Finance, Statistics, or a related quantitative field.
  • Proficiency in data analysis tools (e.g. Excel, SQL, Google Analytics, Tableau, etc).
  • Expertise with querying languages, data schemas, and BI tools (SQL, Looker, etc).
  • Knowledge of visualisation tools (e.g. Tableau, Power BI, etc).
  • High attention to detail and problem-solving skills.

It's great if you have:

  • Knowledge of A/B testing and experimentation frameworks.
  • Experience with Google Analytics, Marketo, and Salesforce.
  • Knowledge of machine learning techniques (clustering, decision tree learning, neural networks, etc.) and their real-world advantages/drawbacks.

Tell us about your skills and experience in a cover letter or during the interview process.



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