Summary
The League is a social dating app startup backed by various investors with a strong leadership team. The data analyst role is part of the analytics team, reporting to the Head of Data Science. Responsible for performing deep-dive analysis on key product metrics and creating company metrics, conducting quarterly prioritized analysis projects, managing and maintaining dashboards, working with product managers and engineers, and applying statistics, modeling, and machine learning techniques. The ideal candidate holds a Bachelor's degree in CS or related field, fluency in SQL, expertise in at least one programming language for statistical analysis, strong communication skills, critical thinking abilities, and the ability to lead initiatives.
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
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
- 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
Preferred Qualifications
- Prior experience in Gaming or Dating industry
- Knowledgeable about the machine learning trade-offs and model evaluation
