Senior Analyst, Enterprise Analytics (Remote)
The Athletic
United States
Salary:
🥅 sports
Data Engineer
About Us
The Athletic is a digital sports media company that brings true sports fans closer to the athletes, teams and leagues that captivate their attention. We serve a multi-faceted audience that craves a richer connection and understanding with immersive storytelling and a like-minded community of fans. Founded in 2016 and with major operational hubs in San Francisco, Los Angeles, London and Melbourne, we empower a truly global team of more than 600 creators and cover more than 250 professional sports and collegiate teams across the United States, Canada and the UK. Our newsroom has produced thousands of in-depth reports along with more than 120 podcasts and other forms of premium content. Put simply, The Athletic is at the center of a sports fan’s universe.
About the Role
As part of the Data Analytics team you will join a community of talented analysts who partner with The Athletic newsroom, product, and growth teams. This is a collaborative role where you will work with stakeholders across the organization to develop and standardize reporting metrics for enterprise level strategy. This role will also partner with our data engineering teams to build reliable data systems that support centralized reporting needs.
This role is remote in the US and Canada only.
Responsibilities
- Develop a holistic view of business performance by connecting audience, product and growth insights and deliver actionable recommendations to leadership.
- Build and support centralized reporting framework for enterprise metrics with partnership of the data engineering team.
- Democratize data with skillful use of dashboards and other visualization tools.
- Work with the strategy team to develop recurring reporting for executive leadership team.
- Participate in and lead all phases of analytic work: from problem definition to representation of results.
- Support efforts to improve the efficiency and accessibility of enterprise data used by analysts and non-analysts across the organization.
Requirements
- Preferred Bachelor’s Degree in Statistics, Machine Learning, Computer Science, Mathematics, Economics or other quantitative field.
- 3+ years of experience working with data analytics or data science teams to deliver reporting, analysis and insight.
- Proficiency in SQL and experience working with relational databases.
- Collaborative mindset, strong curiosity, and able to operate with different levels of ownership on projects.
- Excellent analytical reasoning and problem-solving skills.
- Enthusiasm for working with team members from different backgrounds and contributing to inclusive culture.
- Ability to consolidate findings and communicate analysis to the executive team in an easy to understand manner.