41 минуту назад
Senior Data Analyst (Product Analytics)
125 000 - 175 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Data Analyst (Product Analytics) (SaaS/e-commerce): Building product analytics models, dashboards, measurement plans, and monitoring workflows across creator, brand, and shopper experiences with an accent on user behavior, conversion funnels, experimentation, and AI-powered products. Focus on validating launches, auditing tracking, designing A/B tests and attribution strategies, and surfacing anomalies and insights that guide product decisions.
Location: Strong preference for New York City; remote work is available on the East Coast.
Salary: $125,000–$175,000 USD base salary per year, plus equity.
Company
builds infrastructure for human-led curation, connecting brands, creators, and shoppers through creator commerce and performance-driven marketing programs.
What you will do
- Own product analytics for key product areas and partner with Product, Engineering, and Design on success criteria, tracking requirements, and measurement plans.
- Build and maintain product data models, dashboards, and analyses covering adoption, conversion funnels, user behavior, and product performance.
- Validate launches and monitor live products through alerts, quality checks, and anomaly detection.
- Conduct deep-dive analyses and quantify opportunities that improve product performance and business impact.
- Design and evaluate experimentation and measurement strategies, including A/B testing, incrementality, and attribution.
- Audit web and mobile tracking, resolve instrumentation and data quality gaps, and develop AI-enabled analytics workflows.
Requirements
- 4+ years of experience in Data & Analytics, preferably in product analytics across e-commerce, marketplaces, B2B SaaS, marketing technology, agencies, or social platforms.
- Expert SQL skills with large, complex datasets, data models, pipelines, and modern cloud data warehouses.
- Strong experience with BI tools, BI modeling, data visualization, and dashboard storytelling.
- Experience analyzing user behavior, conversion funnels, feature adoption, product performance, and instrumentation using tools such as Amplitude, Heap, or Mixpanel.
- Experience with experimentation and measurement, including A/B testing, incrementality, or attribution.
- Working knowledge of Python, JavaScript, R, notebooks, or similar tools, plus experience using AI for analysis, automation, monitoring, or insight generation.
Nice to have
- Experience in creator commerce, marketing technology, marketplaces, or multi-sided products.
- Experience measuring AI-powered products and developing AI-enabled analytics workflows.
Culture & Benefits
- High-autonomy role with direct impact on product decisions and business performance.
- Medical and dental coverage at 70%.
- Equity, flexible PTO, birthday PTO, and 14 weeks of parental leave.
- Wellness, social, technology, and learning and development stipends.
- 401(k) program with a 3% automated company contribution.
- Wellhub membership, company retreats, and access to a new NYC headquarters.
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