Use your knowledge of data analytics to develop solutions for marketing challenges, while also uncovering opportunities for measurement and optimization to push brand and performance marketing to the next level.
Build measurement plans, tracking requirements, reporting, metrics and benchmarks for our largest campaigns to understand the incremental impact of our marketing dollars. (e.g. conversion lift tests, matched market analyses, and brand lift studies).
Partner with internal teams in advanced analytics work including experimentation, measurement and modeling.
Deliver customer-centric, data-driven approach, based on a people-based marketing strategy to build, segment, and test audiences for best business results.
Develop evaluation frameworks for models, new metrics, and investigate anomalies. Frame and solve ambiguous problems by scoping technical priorities and innovating on statistical methods.
Minimum qualifications:
Master's degree in a quantitative discipline such as Statistics, Engineering, Sciences, or equivalent practical experience.
4 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis.
Preferred qualifications:
Experiences with experimental design and supervised/unsupervised machine learning approaches for both regression and classification tasks
Experience of root cause analysis to ensure that problems are solved at both a tactical and strategic level.
Experience delivering analysis, fully automated analytics pipelines or audience segmentation and propensity modeling.
Understanding Bayesian approaches and modeling frameworks.
Ability to generate practical solutions for marketing analytics problems and use results to drive business change in partnership with cross-functional stakeholders.
