The Senior Data Analyst at Mistplay will enhance business performance through insightful analysis and experimentation. Responsibilities include proactive analysis of product funnels, user cohorts, and behaviors to identify growth opportunities, defining KPIs, building automated dashboards and reports, designing and analyzing A/B and multivariate experiments, optimizing operations using quantitative modeling and data pipelines, and developing Business Intelligence dashboards to support data-driven decision-making across various teams.
Conduct proactive analyses of product funnels, user cohorts, and behaviors to spot growth opportunities.,Define KPIs and build automated dashboards, reports, and models to guide team decisions.,Design, run, and analyze A/B and multivariate experiments to enhance features and test new ideas.,Explore, analyze, and synthesize data to drive strategy.,Leverage expertise in quantitative modeling and data pipelines to optimize operations.,Enhance decision-making processes of stakeholders by developing Business Intelligence dashboards and reports.
Bachelor's or Master's degree in a quantitative discipline (Computer Science, Math, Economics, Statistics) will be advantageous.,3-7 years of experience in the tech or other data-rich industry, bringing expertise in data science, analytics, or business intelligence roles.,Proven track record of impacting business or product decisions.,Pro-level ability to synthesize and communicate complex concepts and analyses to a wide range of technical and non-technical audiences.,Past experience in A/B testing and strong foundational knowledge of core inferential statistics concepts (significance, power, confidence intervals, variance, etc.).,Familiarity with online lifecycle marketing concepts, including email, push notifications, and attribution strategies.
Bachelor's Degree
Mistplay is a pioneering mobile loyalty platform that rewards users for playing and discovering new mobile games. It empowers game studios to acquire and deeply engage users globally by leveraging in-game data and machine learning to recommend relevant games, fostering user loyalty and driving retention and in-app purchase spending. [cite:2, 1.1, 1.2, 1.3, 1.4, 2.2, 3.2]
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