Responsibilities
- Define and execute strategic client learning agendas and experimentation roadmaps—using A/B testing, Geo-experiments and other Google proprietary methods—to quantify and unlock business growth generated by investments from Google Ads.
- Distill complex analytical and experimental findings into highly actionable, non-technical business recommendations and executive-ready presentations that marketing leaders can immediately deploy to drive revenue.
- Act as trusted consultant to help advertisers audit and modernize their data infrastructure, safeguarding their long-term ad performance and automated bidding efficiency against privacy changes and signal loss.
- Advise advertisers on budget allocation and testing feasibility, while leading executive reviews and workshops to build investment confidence across sales teams and agency partners.
Minimum qualifications:
- Bachelor's degree or equivalent practical experience.
- 5 years of experience in media analytics, advertising sales, digital media and marketing, consulting, or financial analysis.
- Experience working with partners to identify technical challenges and opportunities, and selling AdTech/MarTech solutions.
Preferred qualifications:
- MBA or Master's degree in quantitative field like Data Analytics, Economics.
- Experience in quantifying ROI and improving ROI of ads spends through test and learn approach in one of the following: experimental methods (e.g., A/B testing, Geo experiments, user lift experiments), Advanced attribution (e.g., SKAN, MTA), statistical methods (e.g., causal inference, MMM, Statistical MTA).
- Experience managing and influencing senior stakeholder relationships on recommending data driven ways to improve product and customer strategy to drive business outcomes.
- Experience with incrementality testing, causal impact analysis, MMM, and MTA.
- Understanding of brand and performance measurement.