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.
Responsibilities:
• 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
All your information will be kept confidential according to EEO guidelines.
TO APPLY
• Submit your resume to jobs [at] theleague.com with the job position title as the subject line
COMPENSATION
• Competitive/above average for the industry