Associate Manager - Business Analytics
Dream Sports
Mumbai
Salary:
🥅 sports
Analytics
Note: This job has expired and is no longer accepting applications.
FanCode is India’s premier sports destination committed to giving fans a highly personalised experience across content and merchandise for a wide variety of sports. Founded by sports industry veterans Yannick Colaco and Prasana Krishnan in March 2019, FanCode has over 100 million users. It has partnered with domestic, international sports leagues and associations across multiple sports. In content, FanCode offers interactive live streaming for sports with industry-first subscription formats like Match, Bundle and Tour Passes, along with monthly and annual subscriptions at affordable prices. Through FanCode Shop, it also offers fans a wide range of sports merchandise for sporting teams, brands and leagues across the world. Job Responsibilites:
- Develop effective analytical solutions, share comprehensive user insights and actionable recommendations (both predictive and prescriptive)
- Create frameworks to provide enriched and unified view of users and develop data-led strategies to guide product roadmap
- Collaborate with cross-functional teams and craft intervention strategies to help meet organization goals
- Design and execute A/B testing and other experimental methodologies to validate new features and improvements
Must Haves:
- Bachelor's degree or higher in relevant quantitative discipline (Mathematics, Statistics, Economics, Computer Science, Engineering etc.)
- 2-4 years of experience in core Analytics domain
- Advanced problem-solving skills. Ability to break down complex problems and demonstrated ability to present insights in a clear and concise manner
- Excellent proficiency in SQL and expertise in working with large datasets across multiple sources
- Expertise in any of the dashboarding/visualization tools - Looker / Power BI /Tableau
Good to Haves:
- Passion for sports
- Familiarity with product lifecycle management
- Experience in deploying complex Analytical solutions using Python/R
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