Senior Data Analyst, Product (Remote)

About the Role

Key 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 ranging from senior leadership to product managers. Establish a relationship and build trust between them and the data organization.
• Work closely with product management 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

• 4-7+ years experience in data analytics for a subscription based or web-based business.
• Highly analytical mindset and excellent ability to communicate complex analytic concepts to both technical and non-technical audiences as well as senior leadership.
• High proficiency in SQL and comfortable navigating data to perform a wide range of analyses.
• Familiarity with using Python, R, or another scripting language to model data.
• Experience with advanced analytic techniques like segmentation, clustering, regression, power analysis.
• Experience with analytic and BI tools like DBT, Mode Analytics, Tableau, etc.

Benefits & Perks

• 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.