Data Scientist, Analytics (Marketing)

Airwallex • San Francisco, CA

90d

About The Position

Airwallex is the only unified payments and financial platform for global businesses. Powered by our unique combination of proprietary infrastructure and software, we empower over 150,000 businesses worldwide – including Brex, Rippling, Navan, Qantas, SHEIN and many more – with fully integrated solutions to manage everything from business accounts, payments, spend management and treasury, to embedded finance at a global scale. Proudly founded in Melbourne, we have a team of over 1,800 of the brightest and most innovative people in tech across 26 offices around the globe. Valued at US$6.2 billion and backed by world-leading investors including Visa, Airtree, Blackbird, Sequoia, DST Global, Greenoaks, Salesforce Ventures, Lone Pine, and Square Peg, Airwallex is leading the charge in building the global payments and financial platform of the future. If you’re ready to do the most ambitious work of your career, join us. 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.

Requirements

• 3+ years industry experience and an advanced degree (PhD or MS) in a quantitative field (e.g. Statistics, Engineering, Sciences, Computer Science, Economics)
• 1+ 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 Haves

• Experience with Google Analytics, Marketo, and Salesforce
• Knowledge of online A/B testing and experimentation frameworks
• Ability to perform statistical analysis and develop machine learning models to drive data-informed decisions

Responsibilities

• 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

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: Master's degree
• Number of Employees: 1,001-5,000 employees