Data Analyst - Product & Marketing (REMOTE)

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          "text": "<p>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. The ideal candidate has excellent communication skills, a robust knowledge of SQL, and experience using programming languages such as python/R to automate their analyses and analytical work.</p><p> </p><p><strong>Responsibilities:</strong></p><ul><li><p>Directly own the creation of key company metrics used to track aggregate company OKR performance </p></li><li><p>Conduct quarterly prioritized analysis projects targeted at revenue and user growth</p></li><li><p>Conduct ad-hoc analyses as defined by cross-functional partners and prioritized weekly</p></li><li><p>Manage and maintain dashboards in Periscope that relate operational performance across company departments and track key company metrics</p></li><li><p>Work with product managers and engineers to design data products and run A/B experiments</p></li><li>Work directly with product and business stakeholders to translate the questions and hypotheses into structured analysis.</li><li>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.</li><li><p>Apply statistics, modeling and machine learning techniques to improve efficiency and relevance of The League’s matching algorithm </p></li><li><p>Work towards creating a data-driven culture at The League</p></li><li><p>Understand what matters most and prioritize ruthlessly</p></li></ul>",
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          "text": "<ul><li><p>Bachelors’ in CS, Engineering, Physics, Math, Statistics, Business, Economics or related field</p></li><li><p>Fluency in SQL, as well as a deep understanding of statistical analysis, experiment design, and common pitfalls of data analysis</p></li><li><p>Expertise in at least one programming language useful for statistical analysis (e.g. python/R)</p></li><li><p>Strong communicator: You effectively synthesize, visualize, and communicate your ideas to others</p></li><li><p>You are a critical thinker: You are thoughtful, self-aware, and use available evidence to make decisions</p></li><li><p>You can lead initiatives across multiple product areas while communicating findings with leadership and product teams</p></li></ul><p><strong>Nice to haves:</strong></p><ul><li><p>Prior experience in Gaming or Dating industry</p></li><li><p>Knowledgeable about the machine learning trade-offs and model evaluation</p></li></ul>",
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