About PlayVS:

The fastest-growing high school sport and Collegiate in America isn’t basketball or football—it’s esports—and PlayVS is the official platform for High School and Collegiate esports. We offer an incredible, full-stack esport platform—game integrations, team building tools, leagues, tournaments, and schedules—and our software products tie everything together into a cohesive experience.

We are looking for a passionate Product Analyst to join our team. As at PlayVS, you’ll be involved in many aspects of our decision-making process, from brainstorming to launch. You’ll combine your data and analytics skills to level up the business with insights while building a deep foundational understanding of our users, product, and growth strategy.

Here's what you'll get to do:

Design and implement an effective data and analytics plan, ensuring that we identify the most important questions and craft a detailed execution plan to answer them while operating with imperfect data
Partner with multiple teams to define the measures of success, develop the analysis and reporting necessary to measure, understand and improve these metrics through standardized dashboards and ad hoc reports
Proactively spot patterns in our user data that identify potential blind spots and opportunities and make recommendations for how to address them
Develop experimentation strategy to continuously improve our competition platform
Empower the company to make informed decisions by turning our user data into actionable insights
Thrive in a fast-paced environment to answer critical questions with data or to make decisions in a short timeframe

Here's what we're looking for:

Bachelor’s degree in Applied Mathematics, Statistics, Economics, Computer Science, or a related technical field
4+ years experience as a Data Analyst, ideally with competition or marketplace products
2+ years experience working closely with Product Managers, ideally at tech startups
Expertise using SQL to manipulate data (e.g. window functions)
Expertise with BI Tools such as Mode Analytics, Tableau or Looker
Experience using Python to clean, transform and analyze data
Knowledge of experimentation strategy to analyze the impact of new features (e.g., A/Bs, multivariate testing, switchbacks, casual impact, etc)
Demonstrated ability to think strategically about business, product, and technical challenges
Strong communication skills, with the ability to present findings and recommendations to non-technical audiences, and influence decision-makers

Bonus points for:

Experience with Airflow or similar workflow management systems
Experience with Python machine learning packages
Experience with statistical modeling methods and the ability to match business problems to the best statistical technique
You enjoy playing video games as much as us!