Data Analyst - Product & Marketing (REMOTE)

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