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Chess.com

Data Analyst, Growth & Monetization - ChessKid

Reposted Yesterday
Remote
Hiring Remotely in Canada
Mid level
Remote
Hiring Remotely in Canada
Mid level
Analyze player behavior and drive product innovation through data-driven insights. Collaborate with teams to design and evaluate experiments, maintaining data quality and delivering meaningful insights.
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About Us

Chess.com is one of the largest gaming sites in the world and the #1 platform for playing, learning, and enjoying chess.

We are a team of 600+ fully remote people in 60+ countries working hard to serve the global chess community. We are here to support 200M+ chess players worldwide with the best possible product, content, and tools to serve the community


We are a tech company. A gaming company. A content company. And we do it all with passion and commitment to the game. Above all we prize our mission-driven, flat, life-celebrating, no-corporate culture, and we look forward to meeting you and learning more about what you can bring to the team.

ChessKid.com is the world’s #1 chess site for kids and the scholastic extension of Chess.com. ChessKid is fun, educational, and dedicated to being a safe place for kids to learn and play chess.


ChessKid stats (as of Dec. 2025)

  • 12M+ Happy Kids on the platform
  • 31K+ Schools use ChessKid
  • 97M+ Games played on ChessKid
  • 118M+ Puzzles Solved
  • 17M+ Lessons taken

About You

You are an analytic thinker with a passion for driving product innovation and business growth through data-driven insights. With experience in consumer software and/or gaming analytics and funnels, you are adept at navigating data to extract meaningful insights on user retention, engagement, monetization, and product interaction. You have the product and business knowledge to serve a diverse set of stakeholders, and can also proactively produce insights that get our teams working on the right thing, faster.


Your analytical skills are matched by a strategic mindset and an ability to communicate insights in a simple and compelling way. You find purpose in working for a company that values both its product and its people, and you bring a blend of analytical, strategic, and technical skills to the table.


What you'll do

  • Help define and document our event taxonomy, and work directly with product teams to define new events that are consistent with our overarching event structure and taxonomy
  • Dive into our data to discover insights on player behavior across different cohorts, segments, and stages of the user lifecycle, and communicate/collect feedback on your findings from peers, business, and product partners
  • Work with business, product, and engineering teams to [plan → design → ship → evaluate] experiments/AB-Tests, and communicate their results/impact with the company.
  • Work directly in Amplitude and BigQuery to extract truths and trends that inform and guide business and product decisions
  • Develop tools and best practices to ensure high data quality and identify and prevent errors before they reach production datasets
  • Collaborate with analysts/data-scientists in building scalable and reproducible analyses, and communicate their insights with the company

Preferred Skills

  • 3+ years of experience in data analytics & data visualization
  • Experience in collaborating others to [plan → design → ship → evaluate] product experiments
  • Experience with Amplitude, BigQuery, and SQL
  • Some experience with a Python/Jupyter Notebook + Git setup
  • Experience in defining event taxonomy for consumer digital applications
  • Strong collaboration and communication skills, working in a fully distributed team
  • Experience with kids' gaming/ed-tech/subscription models is a huge bonus!

About the Opportunity

  • This is a full-time opportunity!
  • We are 100% remote
  • This role is open to candidates who can work in the United States or Canada

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You can learn more about us here:

  • https://www.chess.com/article/view/how-chess-com-virtual-team-works-together
  • https://www.chess.com/about

Top Skills

Amplitude
BigQuery
Git
Jupyter Notebook
Python
SQL

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