Minimum Qualifications:
- 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 in Statistics, Data Science, Mathematics, Operations Research, Computer Science, Marketing Analytics, or related field.
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