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We’re seeking a senior Data Scientist to partner closely with the Marketing team to derive actionable data-driven insights and to directly impact business outcomes. You will develop key Marketing reports, drive deep-dive analyses, and stay on top of market trends to develop and optimize our Marketing strategies. You’re naturally curious and have a track record of offering recommendations to enhance our brand presence and drive business growth. You’ll join the Airwallex team during a critical period, where we are building a team that enables both global consistency in process, tooling and methodology and local flexibility and speed in execution. This is a great opportunity to shape the next phase of Airwallex’s growth.
Job Responsibility:
Analyze data to assess performance and ROI of Marketing initiatives
Develop dashboards and reports to provide observability, enabling stakeholders to make data-driven decisions
Be the subject matter expert for all Marketing KPIs, consulting on Marketing data related projects
Partner with Marketing stakeholders to objectively measure campaign performance, and to identify actionable insights
Develop data-driven Marketing forecasts and budgets to inform organizational-level planning
Collaborate with Marketing, Sales, and Product teams to identify opportunities for improvement in Marketing strategies and campaigns
Support experiments to measure impact of ad spend, brand campaigns, and other Marketing initiatives
Requirements:
6+ years industry experience
Advanced degree (PhD or MS) in a quantitative field (e.g. Statistics, Engineering, Sciences, Computer Science, Economics)
2+ years of experience in Marketing Analytics or a similar role
Experience in digital marketing channels, including email, paid ads, and SEO is highly advantageous
Experience with communicating the results of analyses to executives and cross-functional teams to influence strategy
Expert in data querying languages (e.g. SQL), scripting languages (e.g. Python), and/or statistical/mathematical software (e.g. R)
Experience in schema design and dimensional data modeling a plus
Nice to have:
Experience with Google Analytics, Marketo, and Salesforce
Knowledge of online A/B testing and experimentation frameworks
Experience with scripting languages (e.g. Python), and/or statistical/mathematical software (e.g. R)
Ability to perform statistical analysis and develop machine learning models to drive data-informed decisions