Experimentation Manager (Product Analytics)
Мэтч & Сопровод
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Описание вакансии
TL;DR
Experimentation Manager (Product Analytics): Leading and scaling the A/B testing practice across media brands with an accent on rigorous experimental design, statistical analysis, and cross-functional collaboration. Focus on building a centralized experimentation roadmap, synthesizing insights to drive growth, and embedding data-driven decision-making into product and editorial workflows.
Location: Must be based in or able to commute to New York, NY (Hybrid: 3 days/week in office)
Salary: $110,000 - $130,000
Company
is a leading media and entertainment corporation operating iconic brands across news, sports, and digital entertainment sectors.
What you will do
- Define and prioritize a portfolio of high-impact A/B tests aligned with business goals.
- Design experiments end-to-end, including success metrics, structure, and measurement approaches.
- Partner with product, editorial, marketing, and engineering teams to translate business questions into testable hypotheses.
- Maintain a structured repository of experiment results, insights, and actionable recommendations.
- Synthesize findings across tests to identify broader patterns and growth opportunities.
- Establish and promote best practices for experiment design, execution, and statistical analysis.
Requirements
- 5+ years of experience in experimentation, product analytics, or a related quantitative field.
- Strong foundation in statistics, including hypothesis testing, experimental design, and causal inference.
- Hands-on experience designing and analyzing A/B tests using platforms like Amplitude.
- Expertise in SQL and Python or R.
- Experience with data tools such as Databricks, Snowflake, Adobe/Google Analytics, and Tableau/Looker.
- Must be able to work in a hybrid model with 3 days per week in the New York office.
Culture & Benefits
- Comprehensive medical, dental, and vision insurance.
- 401(k) retirement plan with company contributions.
- Paid leave and tuition reimbursement programs.
- Access to a variety of employee discounts and perks.
- Collaborative environment focused on data-driven innovation and growth.
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