Drive new customer growth and service adoption for Quickbooks via paid marketing channels by bringing data-backed insights to marketing decisions and identifying areas of opportunity within marketing channels.
Requirements
- 7+ years of experience in a data science or analytics position specific to marketing and paid media measurement
- Experienced in advanced statistical analysis, A/B testing, geo/match-market experimentation, marketing AI/ML use cases including MMM, and marketing attribution
- Practical experience constructing data pipelines and ETL utilizing SQL and Python, as instrumenting new data requirements and manipulating large complex datasets
- Experience in using GenAI tools to augment self service reporting and insight generation capabilities
Responsibilities
- Execute the technical DS components of measurement roadmaps including data instrumentation, attribution, experimentation, marketing model deployment, and ad-hoc analytics work
- Build channel learning plans to unpack and deliver deep insights on the factors driving media performance including creative, audience, partners, and media tactics
- Shape paid media strategy and investment mix by running cross channel optimization scenarios and sizing marginal contributions from incremental budgets
- Inform the strategic roadmap for marketing science capabilities, including MMM, AMM, and geo experimentation
- Partner across marketing, DS, and research teams to drive comprehensive paid media measurement roadmaps
- Track the performance of paid media against business goals, lead the construction of channel reporting and data narratives related to paid media to senior leaders, guiding strategic optimization decisions
Other
- Very strong insight mining and data storytelling skills, with a proven ability to rapidly construct data narratives and drive decisions with marketing leaders
- Well developed business acumen, with proven ability to shape GTM and growth strategy across highly complex businesses with multiple interdependent SKUs/business lines, financial services preferred
- Bachelor’s degree in a quantitative field or equivalent work experience, advanced degree preferred
