Vacancy expired!
The data analyst role is part of the analytics team, will report to the Head of Data Science and be based in San Francisco. 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 debug A/B experiments
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
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
