Data Analytics E-commerce Data Scientist (Product Analytics)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Data Analytics E-commerce Data Scientist (Product Analytics): Conducting deep-dive analyses of web and behavioral data to optimize e-commerce funnel, engagement features, and app platforms with an accent on traffic, conversion rates, and user experience. Focus on designing A/B tests, building dashboards, surfacing insights, and advocating for data quality to drive product strategy and business outcomes.
Location: Hybrid at New York City headquarters
Salary: $140,400—$166,100 USD
Company
provides expert instruction and world-class content for workout experiences through innovative hardware, software, and exclusive content, headquartered in New York City.
What you will do
- Conduct deep-dive analyses of web and behavioral data across the e-commerce funnel, including traffic, engagement, and conversion.
- Own analytics for core engagement features, defining success metrics and surfacing insights for the product roadmap.
- Partner with PMs to design, launch, and measure A/B and multivariate tests with statistical rigor.
- Translate member behavior into narratives and visualizations to influence senior stakeholders.
- Build and maintain dashboards to monitor KPIs and identify trends in e-commerce and app.
- Surface data quality issues and advocate for clean data instrumentation and experimentation practices.
Requirements
- 3–5 years of analytics experience, ideally in tech, digital product, or e-commerce.
- Bachelor’s or Master’s in quantitative field (Statistics, Data Science, Economics, Computer Science).
- Fluency in SQL and comfort with Python or R for data exploration and analysis.
- Hands-on experience with product analytics tools (Amplitude, Segment, Google Analytics).
- Experience with visualization tools (Looker, Tableau).
- Strong understanding of A/B testing, statistical significance, and experiment evaluation.
Nice to have
- Proven ability to influence strategy through data storytelling.
- Comfort working autonomously and collaboratively in fast-paced agile environment.
- User-first mindset and passion for turning insights into business outcomes.
- Forward-thinking approach to leveraging latest AI tech-stack.
Culture & Benefits
- Medical, dental, vision insurance, mental health services.
- Generous paid time off, up to 18 weeks paid parental leave, short/long-term disability.
- 401k, tuition reimbursement, student loan paydown, Employee Stock Purchase Plan.
- Fertility/adoption support, child/family care discounts, pet insurance.
- Free Digital App, apparel/product discounts, commuter benefits.
Будьте осторожны: если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →