2 days ago
• The data analyst role is part of the analytics team, will report to the Head of Data Science. • S/he will be responsible for performing deep-dive analysis to understand and optimize key levers of our product’s marketing funnel: acquisition, activation, engagement, and retention. • Additionally, s/he will be responsible for designing core metrics that serve as North Stars for team efforts and OKRs. • A successful candidate in this role has the opportunity to contribute to creating a foundation of analytical excellence at the League and promoting a culture of data-driven decision making. • Directly own the creation of key company metrics used to track aggregate company OKR performance. • Conduct quarterly prioritized analysis projects targeted at revenue and user growth. • Conduct ad-hoc analyses as defined by cross-functional partners and prioritized weekly. • Manage and maintain dashboards in Periscope that relate operational performance across company departments and track key company metrics. • Work with product managers and engineers to design data products and run A/B experiments. • Work directly with product and business stakeholders to translate the questions and hypotheses into structured analysis. • Own data analysis and visualization, and communicate the outcomes/insights to various partners (marketing, data, product, eng) to aid strategic decisions for improvements in experience for our users and help create potential feature + experimentation candidates. • Apply statistics, modeling and machine learning techniques to improve efficiency and relevance of The League’s matching algorithm. • Work towards creating a data-driven culture at The League. • Understand what matters most and prioritize ruthlessly.
• Bachelors’ in CS, Engineering, Physics, Math, Statistics, Business, Economics or related field • Fluency in SQL, as well as a deep understanding of statistical analysis, experiment design, and common pitfalls of data analysis • Expertise in at least one programming language useful for statistical analysis (e.g. python/R) • Strong communicator: You effectively synthesize, visualize, and communicate your ideas to others • You are a critical thinker: You are thoughtful, self-aware, and use available evidence to make decisions • You can lead initiatives across multiple product areas while communicating findings with leadership and product teams • Nice to haves: Prior experience in Gaming or Dating industry • Knowledgeable about the machine learning trade-offs and model evaluation
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