Data Analyst - Product & Marketing (REMOTE)

Data Analyst - Product & Marketing (REMOTE)

The League is a social dating app startup backed by IDG Ventures, xSeed Capital, Cowboy Ventures, Structure Capital, Sherpa Ventures, and many notable angels. The Founder is a Stanford MBA (ex-Google, ex-Salesforce) with a strong product sense (engineering degree from Carnegie Mellon) and a fierce determination to change the dating space for the better. The League is live in 150 cities, brings in healthy revenue each month, and leads the pack in its innovative feature set that includes live video speed dating.

The data analyst role is part of the analytics team, will report to the Head of Data Science. The analyst will be responsible for performing deep-dive analysis to understand and optimize key levers of the product’s marketing funnel : acquisition, activation, engagement, and retention. Additionally, the analyst 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.

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 questions and hypotheses into structured analysis

Own data analysis and visualization, and communicate outcomes / insights to various partners to aid strategic decisions for improvements in experience for 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

Requirements :

Bachelor’s 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 : effectively synthesize, visualize, and communicate ideas to others

Critical thinker : thoughtful, self-aware, and use available evidence to make decisions

Ability to 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 machine learning trade-offs and model evaluation

All your information will be kept confidential according to EEO guidelines.

COMPENSATION

Competitive / above average for the industry

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