Data Analyst (Remote) Job at The Athletic, Remote

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  • The Athletic
  • Remote

Job Description

About the role 

Data is central to The Athletic’s decision-making process—it guides how we build and market our product, as well as how we produce content. We’re looking for a Data Analyst who will be conducting experiments on user behavior, guiding feature creation for our product, answering high-impact strategic questions for our leaders, and scaling analytics tools and methodologies for our team. You’ll be collaborating closely with cross-functional teams including Product, Engineering, and Data Science to deliver insights that shape the user experience and drive engagement.

This role is 100% remote for candidates currently residing in either the United States or Canada.

Responsibilities
  • Inform our product strategy by developing a deep understanding of sports media, our users, and how they engage with our product.
  • Communicate with and advise a variety of stakeholders in the product org.
  • Establish a relationship and build trust between them and our team.
  • Work closely with product managers to provide insights into user behavior and feature performance and help iterate on products that are loved by our users.
  • Build and own self-service analytics tools and dashboards and define new metrics to provide better visibility into business performance and improve forecast accuracy.
  • Collaborate closely with engineers to implement event tracking, experiments, and data pipelines.
Requirements
  • 1-2+ years experience in data analytics for a subscription based or consumer facing digital product.
  • Highly analytical mindset and ability to communicate complex analytic concepts to both technical and non-technical audiences.
  • Proficiency in SQL and comfortable navigating data to perform a wide range of analyses.
  • Experience with analytic and BI tools like DBT, Mode Analytics, Tableau, etc
  • Familiarity with concepts and the process of experimentation and A/B testing.
  • Familiarity with advanced analytic techniques like segmentation, clustering, regression, power analysis.
  • Familiarity with using Python, R, or another scripting language to model data.

Job Tags

Remote job, Full time

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