data analyst
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Role details
Tech stack
Job description
We are seeking an experienced (6+ years) Analyst/Consultant with a strong background in experimentation, web and product analytics to join the Lifecycle Management team. You will drive data-informed decision-making through A/B testing, experimentation frameworks, and product analytics to optimize customer engagement and lifecycle outcomes. Key Responsibilities
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Design and execute A/B tests and multivariate experiments to validate hypotheses and optimize product features
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Develop and maintain web analytics dashboards and reporting to track KPIs, user behavior, and lifecycle metrics
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Analyze experimental results, generate insights, and present actionable recommendations to product and marketing teams
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Partner with product, engineering, and marketing to identify optimization opportunities and prioritize experiments
Requirements
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Experience with analyzing A/B tests, with expertise in statistical significance, sample sizing, and experiment design best practices
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Proficiency with analytics platforms (Amplitude, Google Analytics, or similar); ability to create custom segments, funnels, and cohort analyses
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Strong understanding of web tracking, event-based analytics, attribution models, and user journey mapping
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Experience with SQL, Python/R, or similar tools for data analysis; experience with BI tools (Tableau, Looker, etc.) is a plus
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Ability to translate complex analyses into clear, business-focused narratives for non-technical stakeholders Nice to Have
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Experience with lifecycle marketing, retention strategies, or customer engagement optimization
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