Product Analyst @ WSC Sports
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About WSC Sports
WSC Sports, the pioneer in AI-powered sports content technology, empowers clients worldwide to connect with fans through AI-tailored sports content experiences. Their platform automates content creation, management and distribution, helping sports rights holders expand reach, grow fan bases, and unlock new revenue opportunities across digital platforms.
Why WSC Sports
Work in an awesome environment with innovative people using cutting-edge technologies and tools such as video editing, Gen AI, and data analytics. You will have the opportunity to influence products and tools used by major clients like the NBA, Bundesliga, LaLiga, and ESPN.
What You’ll Do as a Product Analyst
- Own analytical aspects of designated domains.
- Create and maintain reports, dashboards, and metrics while ensuring data integrity.
- Utilize analytical tools, data mining, and business logic to support product team decisions.
- Analyze and optimize products, participate in design and strategic decisions, and manage multiple data initiatives.
- Define alerts and monitor performance to improve process efficiency.
- Support the prioritization of new features and initiatives with data-driven insights.
- Collaborate with Product, R&D, Operations, and Business teams.
Requirements
- 2+ years in Product, Data, Business, or Operations Analysis in data-rich environments.
- Excellent proficiency in SQL.
- Strong communication skills with clear analytical reporting.
- Ability to multitask and fast learning skills.
- BSc/BA in a quantitative field such as mathematics, statistics, or engineering.
- Experience with AI tools for analytics.
- Experience in Tableau, Power BI, Looker advantageous.
- Python/R experience is a plus.
- Passion for sports is an advantage.
Key skills/competency
Product Analysis, Data Analytics, SQL, AI, Reporting, Dashboard, Data Mining, Communication, Visualization, Strategic Decision
How to Get Hired at WSC Sports
🎯 Tips for Getting Hired
- Research WSC Sports culture: Understand their AI and sports focus.
- Customize your resume: Highlight SQL and analytics skills.
- Showcase relevant experience: Emphasize roles with data initiatives.
- Prepare for technical interviews: Practice SQL and data analysis problems.