
Data Analyst
The Athletic
full-time
Posted on:
Location Type: Remote
Location: United States
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Salary
💰 $85,000 - $95,000 per year
Job Level
About the role
- 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.
Benefits
- Highly competitive, employer-contributed medical, dental, vision, basic life and disability insurance plans.
- Savings accounts for medical, wellness, and childcare expenses.
- 401k retirement savings plan and employer match.
- Paid time off including paid sick leave, 12 paid holidays, 15 days of accrued vacation to start, and up to 20 weeks of Paid Parental Leave.
- Our global benefits packages offer similar benefits and perks, competitive to the local market.
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
data analyticsSQLA/B testingsegmentationclusteringregressionpower analysisPythonRDBT
Soft Skills
analytical mindsetcommunicationstakeholder managementrelationship buildingtrust building