Note: The job is a remote job and is open to candidates in USA. 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
Skills
- 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
Company Overview
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