Data Analyst - Product & Marketing (REMOTE)

The League is a social dating app startup seeking a Data Analyst to join their analytics team. The successful candidate will perform deep-dive analysis to optimize the product’s marketing funnel and design core metrics for team efforts, contributing to a culture of data-driven decision making.

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

Requirements:

• 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
• Prior experience in Gaming or Dating industry
• Knowledgeable about the machine learning trade-offs and model evaluation