Analytical Lead, Retail, Large Customer Sales (English, Mandarin)
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Minimum qualifications:
- Bachelor's degree or equivalent practical experience.
- 5 years of experience in media analytics, advertising business, digital media and marketing, consulting, or financial analysis.
- Ability to communicate in English and Mandarin fluently to interact with and serve local clients.
Preferred qualifications:
- Experience with marketing measurement and attribution techniques (e.g., offline measurement, MMM, attribution) and working with Google advertising products (e.g., Google Ads, Google Analytics, Google Marketing Platform).
- Experience working in complex projects with multiple stakeholders.
- Knowledge of E-commerce and online marketing industries.
- Proficiency in SQL, databases, and basic automation techniques.
- Excellent project management, organizational, problem-solving, and strategic thinking skills, with the ability to see both granular and big-picture issues.
- Excellent communication and presentation skills, with the ability to influence C-level executives through compelling storytelling.
About the job
Being an Analyst at Google is about much more than simply crunching numbers – it’s about finding compelling insights within data and using your exceptional business and communication skills to translate those insights into action. As one of the masterminds behind our strategic planning, forecasting and analysis, you’ll spend your time digging into big, complex data sets. The data will not remain inert in your hands, however, since you’ll use your critical thinking, problem solving and communication skills to influence and drive thoughtful and well-informed decision making with our most senior business leaders within the organization, and potentially some of our biggest clients.
Responsibilities
- Drive growth for our largest retail developers by providing strategic, data-backed consultation and actionable recommendations.
- Develop and pitch quantified, forward-thinking sales strategies aligned with client marketing objectives, utilizing traffic, performance, and budget projections.
- Enhance problem-solving efficiency and vertical growth by collaborating on the creation of scalable tools, templates, and frameworks.
- Build relationships with key client stakeholders from executive leadership to data teams.
- Communicate complex data insights and strategic recommendations effectively to influence both client and internal audiences.
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