KEY QUALIFICATIONS (Please refer to turbo hire for the complete JD)
- Expertise in experimentation and statistical hypothesis testing (e.g., sample size determination / power analysis, statistical tests, confidence intervals, etc.).
- Strong communication and presentation skills, including presenting analyses to a diverse group of stakeholders, including data scientists, creatives, and marketing leaders.
- Outstanding digital analytics experience with the ability to derive insights from multiple quantitative and qualitative data sources.
- Strong data querying skills (SQL) and experience with a scripting language (Python or R).
- Excellent time management skills and ability to manage multiple A / B testing projects in various stages of development.
- Team player who enjoys collaborating with others. Highly beneficial :
- Experience with advanced statistics, econometrics, or causal inference.
- Experience with predictive analytics and ML algorithms such as regression, decision trees, clustering, and neural nets.
Core responsibilities cover three pillars :
DIGITAL ANALYTICS :
Lead a select number of strategic analyses to provide teams and leaders with actionable
insights regarding opportunities to improve traffic, engagement, and conversion.
Turn optimization hypotheses into A / B test proposals. Partner with Marcom Producers,
Creatives, and Developers to determine the A / B test population, user experience, KPIs, and
runtime requirements.
EXPERIMENT ANALYSIS :
Design experiments, analyze results, develop insights, and summarize recommendations.
Work closely with the A / B Test Platform Engineering Team to ensure the analytics
implementation suits our needs.
RESEARCH & DEVELOPMENT :
Partner with Data Scientists across Marcom, Retail, and Operations on projects to increase the sophistication of our experimentation program and deliver deeper insights about marketing performance.
EDUCATION & EXPERIENCE :
Bachelor’s degree with quantitative emphasis. Statistics, Data Science, Mathematics,
Operations Research, Computer Science, Marketing Analytics, or related field.