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Data Analyst - Product & Marketing

Min Experience

0 years

Location

California, United States

JobType

full-time

About the job

Info This job is sourced from a job board

About the role

About The Company

The League is a fast-growing social dating app startup, backed by prominent investors such as IDG Ventures, xSeed Capital, Cowboy Ventures, Structure Capital, and Sherpa Ventures. Our Founder, a Stanford MBA with a strong product sense, brings experience from Google and Salesforce, aiming to revolutionize the dating space with an innovative approach, including live video speed dating. The League is currently live in 150 cities and sees strong monthly revenue growth, positioning itself as a leader in the dating app industry.

About The Role

We are seeking a Data Analyst - Product & Marketing (Remote) to join our analytics team, reporting to the Head of Data Science. In this role, you will be responsible for performing deep-dive analyses to understand and optimize key aspects of our product’s marketing funnel, including acquisition, activation, engagement, and retention. Additionally, you will design core metrics to guide company efforts and OKRs, contributing to a data-driven culture at The League. You will have the opportunity to influence strategic decisions and help create a foundation of analytical excellence.

Key Responsibilities

  • Own the creation of key company metrics to track aggregate OKR performance.
  • Conduct quarterly prioritized analysis projects aimed at revenue and user growth.
  • Perform ad-hoc analyses as defined by cross-functional teams.
  • Manage and maintain dashboards in Periscope to track operational performance across company departments.
  • Work with product managers and engineers to design data products and run A/B experiments.
  • Translate business questions and hypotheses into structured analysis for product and business stakeholders.
  • Communicate data analysis and insights to various teams (marketing, data, product, engineering) to inform decisions.
  • Apply statistical methods, modeling, and machine learning techniques to improve The League’s matching algorithm.
  • Foster a data-driven culture across the company.
  • Prioritize key analysis initiatives and manage multiple projects effectively.

Qualifications

  • Bachelor’s degree in CS, Engineering, Physics, Math, Statistics, Business, Economics, or a related field.
  • Fluency in SQL with a strong understanding of statistical analysis, experiment design, and data analysis pitfalls.
  • Proficiency in at least one programming language (e.g., Python, R) for statistical analysis.
  • Excellent communication skills, with the ability to synthesize, visualize, and communicate complex ideas.
  • Strong critical thinking skills, self-awareness, and data-driven decision-making abilities.
  • Ability to lead initiatives across product areas and communicate findings effectively with leadership and product teams.

Nice to Haves

  • Prior experience in the gaming or dating industry.
  • Knowledge of machine learning trade-offs and model evaluation.

Compensation

Competitive/above average for the industry.

Equal Opportunity

The League is an Equal Employment Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, disability, or any other characteristic protected by law. The League is committed to creating a diverse and inclusive work environment and is proud to be an equal opportunity employer. We welcome applicants of all backgrounds to apply.

About the company

The League is a fast-growing social dating app startup, backed by prominent investors such as IDG Ventures, xSeed Capital, Cowboy Ventures, Structure Capital, and Sherpa Ventures. Our Founder, a Stanford MBA with a strong product sense, brings experience from Google and Salesforce, aiming to revolutionize the dating space with an innovative approach, including live video speed dating. The League is currently live in 150 cities and sees strong monthly revenue growth, positioning itself as a leader in the dating app industry.

Skills

sql
python
r
data analysis
statistics
experiment design