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.
